Eric D. Thomas

904 citations
23 papers · 459 · h-index 11

Impact in

Papers in

    • Retinal Development and Disorders 5
    • Single-cell and spatial transcriptomics 3
    • CRISPR and Genetic Engineering 3
    • CAR-T cell therapy research 2

Eric D. Thomas

22 papers receiving 456 citations

Peers

Eric D. Thomas
Comparison fields: 5 of 92
  • Sensory Systems 66
  • Internal Medicine 26
  • Reproductive Medicine 37
  • Oncology 87
  • Developmental Neuroscience 13
Replace Hiroaki Yamanaka with:
Hiroaki Yamanaka Japan
Lifeng Tian United States
Kerry K. Brown United States
Richard C. V. Tyser United Kingdom
Miriam Schmidts Germany
Dawid Eckert Germany
Gerard W. Dougherty Germany
Cristina Cebrián United States
Dominique Simon France
Dorota Szumska United Kingdom
Eric D. Thomas relative to Hiroaki Yamanaka Japan Hiroaki Yamanaka's profile →
Citations per field
00.5×8.7×
Hiroaki Yamanaka · 1×
Citations per year

Countries citing papers authored by Eric D. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Eric D. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201484
2 202169
3 202242
4 201639
5 201637
6 201934
7 201431
8 201827
9 201615
10 202215
11 201512
12 20219
13 19968
14 20247
15 20207
16 20136
17 20194
18 20244
19 20163
20 20172

About Eric D. Thomas

Eric D. Thomas is a scholar working on Molecular Biology, Oncology, Reproductive Medicine, Obstetrics and Gynecology and Sensory Systems, having authored 23 papers that have together received 459 indexed citations. Recurring topics across this work include Retinal Development and Disorders (5 papers), Endometrial and Cervical Cancer Treatments (4 papers), Ovarian cancer diagnosis and treatment (4 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers), Single-cell and spatial transcriptomics (3 papers), CRISPR and Genetic Engineering (3 papers), CAR-T cell therapy research (2 papers) and Marine animal studies overview (2 papers). The work is most often cited by research in Sensory Systems (66 citations), Internal Medicine (26 citations), Reproductive Medicine (37 citations), Oncology (87 citations) and Developmental Neuroscience (13 citations). Eric D. Thomas has collaborated with scholars based in United States, Australia and Saudi Arabia. Frequent co-authors include David W. Raible, Dale W. Hailey, Timothy J. Cherry, Kerri S. Bevis, Jiang Qian, Seth Blackshaw, Pin Lyu, Thanh Hoang, Charles A. Leath and Ronald D. Alvarez. Their work appears in journals such as Gynecologic Oncology, Cell Reports, eLife, International Journal of Gynecological Cancer and Journal of Structural Engineering.

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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