Ross S. Thomas

1.2k citations
14 papers · 915 · h-index 13

Impact in

    • NF-κB Signaling Pathways
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Genomics and Chromatin Dynamics 3
    • RNA modifications and cancer 3
    • Ubiquitin and proteasome pathways 2
    • DNA Repair Mechanisms 1
    • 14-3-3 protein interactions 1
    • Estrogen and related hormone effects 5
    • Animal Genetics and Reproduction 1

Ross S. Thomas

13 papers receiving 902 citations

Peers

Ross S. Thomas
Comparison fields: 5 of 78
  • Cancer Research 184
  • Oncology 285
  • Genetics 228
  • Molecular Biology 549
  • Immunology 151
Replace Shiming Jiang with:
Shiming Jiang United States
Elizabeth A. Saria United States
Naoko Ohtani‐Fujita Japan
Cristina Valacca Italy
Renaud Grépin France
Mikko Turunen Finland
M. J. Birrer United States
Julie L.C. Kan United States
Albrecht Meichle Germany
Frédéric Pendino France
Ross S. Thomas relative to Shiming Jiang United States Shiming Jiang's profile →
Citations per field
00.5×1.6×
Shiming Jiang · 1×
Citations per year

Countries citing papers authored by Ross S. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Ross S. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1997133
2 1997128
3 2005124
4 2008102
5 201587
6 199874
7 200670
8 201061
9 201336
10
ETS1 transactivates the human GM-CSF promoter in Jurkat T cells stimulated with PMA and ionomycin.
199533
11 200229
12 201021
13 199817
14 20250

About Ross S. Thomas

Ross S. Thomas is a scholar working on Molecular Biology, Genetics, Physiology, Immunology and Cancer Research, having authored 14 papers that have together received 915 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Genomics and Chromatin Dynamics (3 papers), RNA modifications and cancer (3 papers), Ubiquitin and proteasome pathways (2 papers), DNA Repair Mechanisms (1 paper), Animal Genetics and Reproduction (1 paper), 14-3-3 protein interactions (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Cancer Research (184 citations), Oncology (285 citations), Genetics (228 citations), Molecular Biology (549 citations) and Immunology (151 citations). Ross S. Thomas has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Martin J. Tymms, Arun Seth, Simak Ali, Ismail Kola, Jiong Zhou, R. Charles Coombes, I. Kola, M Shannon, Annie Ng and Fladia Phoenix. Their work appears in journals such as Oncogene, Breast Cancer Research and Treatment, Nucleic Acids Research, Biogerontology and Cell Reports.

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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