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Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-08-20
E
Emily S. Bellis
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Faculty Researcher
16 h-index
60 pubs
885 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Emily S. Bellis's research focuses on understanding the genetic and ecological factors that influence plant and animal populations, with a particular emphasis on evolutionary processes and invasive species. She is currently a Co-Principal Investigator on an NSF grant totaling $1,999,484, aimed at exploring invasion and disease ecology and evolution through computational data education. Her work investigates genetic variation within species, such as the transposable element mutation rates in *Daphnia magna*, and explores the genetic basis of crop resistance, including intergenotypic *Striga* resistance in sorghum and *Striga* parasitism.
Bellis also studies the ecological impacts and management of invasive plants, including dodders and *Cuscuta* species in Eastern Africa. Her research extends to applying advanced computational methods, such as deep learning and genotype-by-environment prediction, to agricultural challenges, including detecting intra-field variation in rice yield and predicting maize yield. Her scholarship metrics include an h-index of 16, with 60 total publications and 885 total citations. She actively collaborates with researchers at Arkansas State University, including Jason Causey, Brett Hale, Asela Wijeratne, and Ahmed A. Hashem.
Metrics
- h-index: 16
- Publications: 60
- Citations: 885
Selected Publications
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Predicting Gene Expression Responses to Cold in Arabidopsis thaliana Using Natural Variation in DNA Sequence (2025)
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Cell Wall Dynamics in the Parasitic Plant (<i>Striga</i>) and Rice Pathosystem (2024)
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Global genotype by environment prediction competition reveals that diverse modeling strategies can deliver satisfactory maize yield estimates (2024)
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Manifold and spatiotemporal learning on multispectral unoccupied aerial system imagery for phenotype prediction (2024)
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Global Genotype by Environment Prediction Competition Reveals That Diverse Modeling Strategies Can Deliver Satisfactory Maize Yield Estimates (2024)
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Predicting gene expression responses to environment in <i>Arabidopsis thaliana</i> using natural variation in DNA sequence (2024)
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Optimizing the quantity of recharge water into a sedimentary aquifer through infiltration galleries using a surrogate assisted coupled simulation–optimization approach (2024)
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Climate biogeography of <i>Arabidopsis thaliana</i> : Linking distribution models and individual variation (2023)
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Strigolactone biosynthesis <i>lgs1</i> mutant alleles mined from the sorghum accession panel are a promising resource of resistance to witchweed (<i>Striga</i>) parasitism (2023)
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Transcriptome atlas of <i>Striga</i> germination: Implications for managing an intractable parasitic plant (2023)
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Resolving intergenotypic <i>Striga</i> resistance in sorghum (2023)
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Harnessing the strigolactone biosynthesis mutant lgs1 to combat food insecurity in Africa (2023)
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Harnessing the strigolactone biosynthesis mutant lgs1 to combat food insecurity in Africa (2023)
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Resolving intergenotypic <i>Striga</i> resistance in sorghum (2022)
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A transcriptome atlas of <i>Striga hermonthica</i> germination (2022)
Federal Grants 1 $1,999,484 total
NSF
Co-PI
Jul 2022 - Jun 2027
Understanding Invasion and Disease Ecology and Evolution through Computational Data Education
Collaboration Network
Top Collaborators
Steven Runo
Kenyatta University (KE)
10 shared publications
- Physiological and ecological warnings that dodders pose an exigent threat to farmlands in Eastern Africa
- Resolving intergenotypic <i>Striga</i> resistance in sorghum
- Strigolactone biosynthesis <i>lgs1</i> mutant alleles mined from the sorghum accession panel are a promising resource of resistance to witchweed (<i>Striga</i>) parasitism
- Comparative phylogeographic analysis of <scp><i>Cuscuta campestris</i></scp> and <scp><i>Cuscuta reflexa</i></scp> in Kenya: Implications for management of highly invasive vines
- Transcriptome atlas of <i>Striga</i> germination: Implications for managing an intractable parasitic plant
Showing 5 of 10 shared publications
Sylvia Mutinda
Kenyatta University (KE)
8 shared publications
- Resolving intergenotypic <i>Striga</i> resistance in sorghum
- Strigolactone biosynthesis <i>lgs1</i> mutant alleles mined from the sorghum accession panel are a promising resource of resistance to witchweed (<i>Striga</i>) parasitism
- Transcriptome atlas of <i>Striga</i> germination: Implications for managing an intractable parasitic plant
- Cell Wall Dynamics in the Parasitic Plant (<i>Striga</i>) and Rice Pathosystem
- A transcriptome atlas of <i>Striga hermonthica</i> germination
Showing 5 of 8 shared publications
Jesse R. Lasky
Pennsylvania State University (US)
7 shared publications
- Climate biogeography of <i>Arabidopsis thaliana</i> : Linking distribution models and individual variation
- The geography of parasite local adaptation to host communities
- Predicting gene expression responses to environment in <i>Arabidopsis thaliana</i> using natural variation in DNA sequence
- The geography of parasite local adaptation to host communities
- Climate biogeography of <i>Arabidopsis thaliana:</i> linking distribution models and individual variation
Showing 5 of 7 shared publications
Susann Wicke
Humboldt-Universität zu Berlin (DE)
5 shared publications
- Resolving intergenotypic <i>Striga</i> resistance in sorghum
- Transcriptome atlas of <i>Striga</i> germination: Implications for managing an intractable parasitic plant
- Genomic signatures of host-specific selection in a parasitic plant
- A transcriptome atlas of <i>Striga hermonthica</i> germination
- Resolving intergenotypic <i>Striga</i> resistance in sorghum
Fredrick M. Mobegi
University of Western Australia (AU)
5 shared publications
- Resolving intergenotypic <i>Striga</i> resistance in sorghum
- Transcriptome atlas of <i>Striga</i> germination: Implications for managing an intractable parasitic plant
- Cell Wall Dynamics in the Parasitic Plant (<i>Striga</i>) and Rice Pathosystem
- A transcriptome atlas of <i>Striga hermonthica</i> germination
- Resolving intergenotypic <i>Striga</i> resistance in sorghum
Brett Hale
Arkansas State University
5 shared publications
In database
- Resolving intergenotypic <i>Striga</i> resistance in sorghum
- Transcriptome atlas of <i>Striga</i> germination: Implications for managing an intractable parasitic plant
- Cell Wall Dynamics in the Parasitic Plant (<i>Striga</i>) and Rice Pathosystem
- A transcriptome atlas of <i>Striga hermonthica</i> germination
- Resolving intergenotypic <i>Striga</i> resistance in sorghum
Asela Wijeratne
Arkansas State University
5 shared publications
In database
- Resolving intergenotypic <i>Striga</i> resistance in sorghum
- Transcriptome atlas of <i>Striga</i> germination: Implications for managing an intractable parasitic plant
- Cell Wall Dynamics in the Parasitic Plant (<i>Striga</i>) and Rice Pathosystem
- A transcriptome atlas of <i>Striga hermonthica</i> germination
- Resolving intergenotypic <i>Striga</i> resistance in sorghum
Elijah Ateka
Jomo Kenyatta University of Agriculture and Technology (KE)
5 shared publications
- Resolving intergenotypic <i>Striga</i> resistance in sorghum
- Strigolactone biosynthesis <i>lgs1</i> mutant alleles mined from the sorghum accession panel are a promising resource of resistance to witchweed (<i>Striga</i>) parasitism
- Resolving intergenotypic <i>Striga</i> resistance in sorghum
- Harnessing the strigolactone biosynthesis mutant lgs1 to combat food insecurity in Africa
- Harnessing the strigolactone biosynthesis mutant lgs1 to combat food insecurity in Africa
Ahmed A. Hashem
Suez Canal University
4 shared publications
In database
- Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning
- Optimizing the quantity of recharge water into a sedimentary aquifer through infiltration galleries using a surrogate assisted coupled simulation–optimization approach
- Manifold and spatiotemporal learning on multispectral unoccupied aerial system imagery for phenotype prediction
- NAPPN Annual Conference Abstract: Characterizing Rice Nitrogen Use Phenotypes from Multitemporal UAV Imagery with Manifold Learning
Claude W. dePamphilis
Pennsylvania State University (US)
3 shared publications
- The geography of parasite local adaptation to host communities
- The geography of parasite local adaptation to host communities
- Genomic signatures of host-specific selection in a parasitic plant
Xiuzhen Huang
Cedars-Sinai Medical Center (US)
3 shared publications
- Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning
- COVID19 Diagnosis Using Chest X-rays and Transfer Learning
- Genomic signatures of host-specific selection in a parasitic plant
Jason Causey
Arkansas State University
3 shared publications
In database
- Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning
- COVID19 Diagnosis Using Chest X-rays and Transfer Learning
- Manifold and spatiotemporal learning on multispectral unoccupied aerial system imagery for phenotype prediction
Muhammad Jamil
King Abdullah University of Science and Technology (SA)
3 shared publications
- Strigolactone biosynthesis <i>lgs1</i> mutant alleles mined from the sorghum accession panel are a promising resource of resistance to witchweed (<i>Striga</i>) parasitism
- Harnessing the strigolactone biosynthesis mutant lgs1 to combat food insecurity in Africa
- Harnessing the strigolactone biosynthesis mutant lgs1 to combat food insecurity in Africa
Jian You Wang
King Abdullah University of Science and Technology (SA)
3 shared publications
- Strigolactone biosynthesis <i>lgs1</i> mutant alleles mined from the sorghum accession panel are a promising resource of resistance to witchweed (<i>Striga</i>) parasitism
- Harnessing the strigolactone biosynthesis mutant lgs1 to combat food insecurity in Africa
- Harnessing the strigolactone biosynthesis mutant lgs1 to combat food insecurity in Africa
Lamis Berqdar
King Abdullah University of Science and Technology (SA)
3 shared publications
- Strigolactone biosynthesis <i>lgs1</i> mutant alleles mined from the sorghum accession panel are a promising resource of resistance to witchweed (<i>Striga</i>) parasitism
- Harnessing the strigolactone biosynthesis mutant lgs1 to combat food insecurity in Africa
- Harnessing the strigolactone biosynthesis mutant lgs1 to combat food insecurity in Africa
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