Eric S. Davis

1.8k citations
26 papers · 905 · 1 hit paper · h-index 13

Impact in

Papers in

    • Genomics and Chromatin Dynamics 11
    • RNA Research and Splicing 4
    • Epigenetics and DNA Methylation 3
    • Gene expression and cancer classification 3
    • Genetic Mapping and Diversity in Plants and Animals 3

Eric S. Davis

25 papers receiving 895 citations

Eric S. Davis's Hit Papers

Phase separation drives aberrant chromatin looping and cancer development 2021 · 294 citations
2940+1+3Years since publication50100150200250

Peers

Eric S. Davis
Comparison fields: 5 of 101
  • Physiology 251
  • Health, Toxicology and Mutagenesis 105
  • Molecular Biology 501
  • Cancer Research 82
  • Sensory Systems 22
Replace Samuel Chung with:
Samuel Chung United States
Claire Mackowiak France
Toru Nyunoya United States
Puneeta Nath United Kingdom
Jane M. DeVasure United States
Birgit Jung Germany
Wenying Lu Australia
Nurcan Aras Ateş Türkiye
Sujata Basu Canada
Kielan Darcy McAlinden Australia
Eric S. Davis relative to Samuel Chung United States Samuel Chung's profile →
Citations per field
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Samuel Chung · 1×
Citations per year

Countries citing papers authored by Eric S. Davis

Since Specialization
Citations

This map shows the geographic impact of Eric S. Davis'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 Eric S. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric S. Davis more than expected).

Fields of papers citing papers by Eric S. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric S. Davis. 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 Eric S. Davis. The network helps show where Eric S. Davis may publish in the future.

Co-authors

The 25 scholars most cited alongside Eric S. Davis, 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 Eric S. Davis Line = papers co-authored together Eric S. Davis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Phase separation drives aberrant chromatin looping and cancer development
Hit paper breakdown →
2021294
2 2018152
3 2018126
4 202049
5 202245
6 201726
7 201925
8 202224
9 202024
10 202221
11 201719
12 202119
13 202113
14 202310
15 20239
16 20229
17 20239
18 20228
19 20246
20 20236

About Eric S. Davis

Eric S. Davis is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Oncology and Artificial Intelligence, having authored 26 papers that have together received 905 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (11 papers), RNA Research and Splicing (4 papers), Epigenetics and DNA Methylation (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Gene expression and cancer classification (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), Cancer-related molecular mechanisms research (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Physiology (251 citations), Health, Toxicology and Mutagenesis (105 citations), Molecular Biology (501 citations), Cancer Research (82 citations) and Sensory Systems (22 citations). Eric S. Davis has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Robert Tarran, Douglas H. Phanstiel, Maria F. Sassano, Ivana Yoseli Quiroga, Bryan Zorn, James E. Keating, Gary L. Glish, Matthew C. Wolfgang, Gang Greg Wang and Samuel G. Mackintosh. Their work appears in journals such as Bioinformatics, Cell Reports, Scientific Reports, American Journal of Physiology-Lung Cellular and Molecular Physiology and Nature Communications.

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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