Thomas D. Gilmore

15.3k citations
157 papers · 12.4k indexed · 3 hit papers · h-index 53

Impact in

    • NF-κB Signaling Pathways
  • Immunology top 0.5%
    • Immune Response and Inflammation
    • interferon and immune responses

Papers in

Thomas D. Gilmore

156 papers receiving 12.0k citations

Hit Papers

Introduction to NF-κB: players, pathways, perspectives 2006 · 1.8k citations
1.8k199920262008201750010001.5k

Peers

Thomas D. Gilmore
Comparison fields: 5 of 153
  • Cancer Research 4.5k
  • Immunology 3.9k
  • Molecular Biology 6.7k
  • Oncology 2.2k
  • Toxicology 234
Replace Michael O. Hengartner with:
Michael O. Hengartner Switzerland
A Currie United Kingdom
Jacques Piette Belgium
Bing Su United States
Andrei V. Gudkov United States
Vassilis G. Gorgoulis Greece
Thomas G. Cotter Ireland
Srinivasa M. Srinivasula United States
Yuri Lazebnik United States
Sharad Kumar Australia
Thomas D. Gilmore relative to Michael O. Hengartner Switzerland Michael O. Hengartner's profile →
Citations per field
00.5×2.8×
Michael O. Hengartner · 1×
Citations per year

Countries citing papers authored by Thomas D. Gilmore

Since Specialization
Citations

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

Fields of papers citing papers by Thomas D. Gilmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20244
4 20233
5 20223
6 202131
7 20199
8 201351
9 201227
10 200924
11 200920
12 2006417
13 2005314
14 20049
15 2003128
16 200340
17 200289
18 200119
19 20011
20 198132

About Thomas D. Gilmore

Thomas D. Gilmore is a scholar working on Cancer Research, Paleontology, Biotechnology, Immunology and Molecular Biology, having authored 157 papers that have together received 12.4k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (65 papers), Marine Invertebrate Physiology and Ecology (17 papers), Marine Sponges and Natural Products (17 papers), Cytokine Signaling Pathways and Interactions (16 papers), Natural product bioactivities and synthesis (15 papers), Immune Response and Inflammation (15 papers), interferon and immune responses (14 papers) and Virus-based gene therapy research (12 papers). The work is most often cited by research in Cancer Research (4.5k citations), Immunology (3.9k citations), Molecular Biology (6.7k citations), Oncology (2.2k citations) and Toxicology (234 citations). Thomas D. Gilmore has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Demetrios Kalaitzidis, Neil D. Perkins, Gilles Courtois, Greg S. Martin, Francis S. Wolenski, Yuan Wang, Howard M. Temin, Patrice J. Morin, John R. Regan and Pier F. Cirillo. Their work appears in journals such as Oncogene, Molecular and Cellular Biology, Journal of Virology, Cancer Letters and Cell.

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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