David Soergel

3.0k citations
7 papers · 607 · h-index 6

Impact in

    • Gut microbiota and health
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Microbial Community Ecology and Physiology

Papers in

    • RNA and protein synthesis mechanisms 1
    • Genomics and Phylogenetic Studies 1
    • RNA modifications and cancer 1
    • Animal Ecology and Behavior Studies 1

David Soergel

7 papers receiving 596 citations

Peers

David Soergel
Comparison fields: 5 of 112
  • Molecular Biology 433
  • Ecology 113
  • Food Science 72
  • Gastroenterology 16
  • Periodontics 13
Replace Piotr Gawron with:
Piotr Gawron Luxembourg
Matej Lexa Czechia
Tae-Hyuk Ahn United States
Min Soo Kim United States
Ryan H. Hsu United States
Mo Han China
Upasana Mangrolia India
Christopher A. Skilbeck United Kingdom
Charles C. Koumpouras United States
Brett Bowman United States
David Soergel relative to Piotr Gawron Luxembourg Piotr Gawron's profile →
Citations per field
00.5×
Piotr Gawron · 1×
Citations per year

Countries citing papers authored by David Soergel

Since Specialization
Citations

This map shows the geographic impact of David Soergel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Soergel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Soergel more than expected).

Fields of papers citing papers by David Soergel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Soergel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Soergel. The network helps show where David Soergel may publish in the future.

Co-authors

The 25 scholars most cited alongside David Soergel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Soergel Line = papers co-authored together David Soergel links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2012290
2 2007193
3 201397
4
Open Scholarship and Peer Review: a Time for Experimentation
201314
5 20177
6
TensorFlow.js: Machine Learning for the Web and Beyond
20195
7 20251

About David Soergel

David Soergel is a scholar working on Molecular Biology, Ecology, Artificial Intelligence, Social Psychology and Ecology, Evolution, Behavior and Systematics, having authored 7 papers that have together received 607 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (2 papers), Inflammatory Bowel Disease (1 paper), Academic Publishing and Open Access (1 paper), Computational Physics and Python Applications (1 paper), Animal Ecology and Behavior Studies (1 paper), RNA and protein synthesis mechanisms (1 paper), Genomics and Phylogenetic Studies (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Molecular Biology (433 citations), Ecology (113 citations), Food Science (72 citations), Gastroenterology (16 citations) and Periodontics (13 citations). David Soergel has collaborated with scholars based in United States. Frequent co-authors include Steven E. Brenner, Neelendu Dey, Rob Knight, Liana F. Lareau, Qi Meng, Angela N. Brooks, Susanna Repo, Andrew McCallum, Adam M. Saunders and D. Sculley. Their work appears in journals such as Advances in experimental medicine and biology, Animal Behaviour, The ISME Journal, BMC Gastroenterology and ScholarWorks@UMassAmherst (University of Massachusetts Amherst).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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