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Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-09
E
Emily S. Bellis
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
16 h-index
60 pubs
885 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Emily S. Bellis investigates the genomics and evolutionary history of plant species, with a particular focus on rice and sorghum. Her research explores how genetic variation influences adaptation to different environments and interactions with other organisms, such as parasitic plants. Bellis has examined the genomic underpinnings of local adaptation in sorghum and the geographic spread of rice, utilizing its genomic history and ecological factors. She also studies the genomics of natural history collections to understand plant evolution in the wild.
Her work extends to understanding threats to agriculture, including research on the risks posed by invasive plant species introduced via shipping containers and the exigent threat of dodders to farmlands in Eastern Africa. Bellis is also involved in a large-scale National Science Foundation grant focused on understanding invasion and disease ecology and evolution through computational data education. Her scholarship metrics include an h-index of 16, with 60 total publications and 885 total citations. She collaborates with several colleagues at Arkansas State University, including Jason Causey, Brett Hale, Asela Wijeratne, and Ahmed A. Hashem.
Metrics
- h-index: 16
- Publications: 60
- Citations: 885
Positions
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Assistant Professor 2019–presentArkansas State University ORCID
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 (Striga) 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 Arabidopsis thaliana 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 Arabidopsis thaliana : Linking distribution models and individual variation (2023)
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Strigolactone biosynthesis lgs1 mutant alleles mined from the sorghum accession panel are a promising resource of resistance to witchweed (Striga) parasitism (2023)
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Transcriptome atlas of Striga germination: Implications for managing an intractable parasitic plant (2023)
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Resolving intergenotypic Striga 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 Striga resistance in sorghum (2022)
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A transcriptome atlas of Striga hermonthica 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)
13 shared publications
- Genomics of sorghum local adaptation to a parasitic plant
- Physiological and ecological warnings that dodders pose an exigent threat to farmlands in Eastern Africa
- Resolving intergenotypic Striga resistance in sorghum
- Strigolactone biosynthesis lgs1 mutant alleles mined from the sorghum accession panel are a promising resource of resistance to witchweed (Striga) parasitism
- Comparative phylogeographic analysis of Cuscuta campestris and Cuscuta reflexa in Kenya: Implications for management of highly invasive vines
Showing 5 of 13 shared publications
Jesse R. Lasky
Pennsylvania State University (US)
11 shared publications
- Genomics of sorghum local adaptation to a parasitic plant
- Genomics of natural history collections for understanding evolution in the wild
- Climate biogeography of Arabidopsis thaliana : Linking distribution models and individual variation
- The geography of parasite local adaptation to host communities
- Predicting gene expression responses to environment in Arabidopsis thaliana using natural variation in DNA sequence
Showing 5 of 11 shared publications
Sylvia Mutinda
Kenyatta University (KE)
8 shared publications
- Resolving intergenotypic Striga resistance in sorghum
- Strigolactone biosynthesis lgs1 mutant alleles mined from the sorghum accession panel are a promising resource of resistance to witchweed (Striga) parasitism
- Transcriptome atlas of Striga germination: Implications for managing an intractable parasitic plant
- Cell Wall Dynamics in the Parasitic Plant (Striga) and Rice Pathosystem
- A transcriptome atlas of Striga hermonthica germination
Showing 5 of 8 shared publications
Claude W. dePamphilis
Pennsylvania State University (US)
6 shared publications
- Genomics of sorghum local adaptation to a parasitic plant
- The geography of parasite local adaptation to host communities
- Genomics of sorghum local adaptation to a parasitic plant
- The geography of parasite local adaptation to host communities
- Genomic signatures of host-specific selection in a parasitic plant
Showing 5 of 6 shared publications
Jason Causey
Arkansas State University
5 shared publications
In database
- Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning
- Transfer learning with chest X-rays for ER patient classification
- Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification
- COVID19 Diagnosis Using Chest X-rays and Transfer Learning
- Manifold and spatiotemporal learning on multispectral unoccupied aerial system imagery for phenotype prediction
Xiuzhen Huang
Arkansas State University (US)
5 shared publications
- Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning
- Transfer learning with chest X-rays for ER patient classification
- Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification
- COVID19 Diagnosis Using Chest X-rays and Transfer Learning
- Genomic signatures of host-specific selection in a parasitic plant
Susann Wicke
Cal Poly Humboldt (US)
5 shared publications
- Resolving intergenotypic Striga resistance in sorghum
- Transcriptome atlas of Striga germination: Implications for managing an intractable parasitic plant
- Genomic signatures of host-specific selection in a parasitic plant
- A transcriptome atlas of Striga hermonthica germination
- Resolving intergenotypic Striga resistance in sorghum
Fredrick M. Mobegi
The University of Western Australia (AU)
5 shared publications
- Resolving intergenotypic Striga resistance in sorghum
- Transcriptome atlas of Striga germination: Implications for managing an intractable parasitic plant
- Cell Wall Dynamics in the Parasitic Plant (Striga) and Rice Pathosystem
- A transcriptome atlas of Striga hermonthica germination
- Resolving intergenotypic Striga resistance in sorghum
Brett Hale
Arkansas State University
5 shared publications
In database
- Resolving intergenotypic Striga resistance in sorghum
- Transcriptome atlas of Striga germination: Implications for managing an intractable parasitic plant
- Cell Wall Dynamics in the Parasitic Plant (Striga) and Rice Pathosystem
- A transcriptome atlas of Striga hermonthica germination
- Resolving intergenotypic Striga resistance in sorghum
Asela Wijeratne
Arkansas State University
5 shared publications
In database
- Resolving intergenotypic Striga resistance in sorghum
- Transcriptome atlas of Striga germination: Implications for managing an intractable parasitic plant
- Cell Wall Dynamics in the Parasitic Plant (Striga) and Rice Pathosystem
- A transcriptome atlas of Striga hermonthica germination
- Resolving intergenotypic Striga resistance in sorghum
Elijah Ateka
Jomo Kenyatta University of Agriculture and Technology (KE)
5 shared publications
- Resolving intergenotypic Striga resistance in sorghum
- Strigolactone biosynthesis lgs1 mutant alleles mined from the sorghum accession panel are a promising resource of resistance to witchweed (Striga) parasitism
- Resolving intergenotypic Striga 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
Victoria L. DeLeo
Pennsylvania State University (US)
4 shared publications
- Genomics of sorghum local adaptation to a parasitic plant
- Climate biogeography of Arabidopsis thaliana : Linking distribution models and individual variation
- Genomics of sorghum local adaptation to a parasitic plant
- Climate biogeography of Arabidopsis thaliana: linking distribution models and individual variation
Robert Muscarella
Uppsala University (SE)
4 shared publications
- Genomics of sorghum local adaptation to a parasitic plant
- Climate biogeography of Arabidopsis thaliana : Linking distribution models and individual variation
- Genomics of sorghum local adaptation to a parasitic plant
- Climate biogeography of Arabidopsis thaliana: linking distribution models and individual variation
Jake Qualls
Arkansas State University
4 shared publications
In database
- Transfer learning with chest X-rays for ER patient classification
- Cardiac or Infectious? Transfer Learning with Chest X-Rays for ER Patient Classification
- COVID19 Diagnosis Using Chest X-rays and Transfer Learning
- Massard Prairie Restoration and Soil Microbiome Succession
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
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