Match tier Likely match
Presence Current · Arkansas
Last published 2024
Sources OpenAlex · ORCID
Refreshed 2026-08-15

Daniel Habenicht

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

Researcher

Also affiliated: Conway School of Landscape Design (2024); Technische Universität Berlin (2022–2023)

Unknown Researcher

3 h-index 4 pubs 134 cited

  • Deep Learning
  • Humans
  • Mpox (monkeypox)
  • COVID-19
  • Mobile Applications
  • Nucleosomes
  • RNA Polymerase II
  • Saccharomyces cerevisiae
  • Saccharomyces cerevisiae Proteins
  • Algorithms
  • Male
  • Monkeypox virus
  • Prospective Studies
  • Health Promotion
  • Internet

Biography and Research Information

OverviewAI-generated summary

Daniel Habenicht's research utilizes computational approaches to address public health challenges and investigate fundamental biological processes. He developed a deep-learning algorithm for classifying skin lesions associated with mpox virus infection and a web-based application to offer personalized recommendations for COVID-19 management. His work also extends to molecular biology, where he investigates the contributions of DNA sequences at the 3’ end of yeast genes to factors such as yFACT, RNA polymerase II, and nucleosome occupancy. Habenicht's scholarship metrics include an h-index of 3, with four total publications cited 128 times. He has collaborated with researchers at Hendrix College, including Andrea A. Duina, Heather Prowse, Sydney A. Ozersky, and Brianna Hoyt.

Metrics

  • h-index: 3
  • Publications: 4
  • Citations: 134

Selected Publications

  • Assessing contributions of DNA sequences at the 3’ end of a yeast gene on yFACT, RNA polymerase II, and nucleosome occupancy (2024)
    BMC Research Notes DOI OpenAlex

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Collaboration Network

9 Collaborators 3 Institutions 1 Country

Top Collaborators

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