Tom Cox

3.3k total citations · 1 hit paper
7 papers, 2.5k citations indexed

About

Tom Cox is a scholar working on Immunology, Cancer Research and Surgery. According to data from OpenAlex, Tom Cox has authored 7 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Immunology, 2 papers in Cancer Research and 1 paper in Surgery. Recurrent topics in Tom Cox's work include T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and NF-κB Signaling Pathways (2 papers). Tom Cox is often cited by papers focused on T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and NF-κB Signaling Pathways (2 papers). Tom Cox collaborates with scholars based in United States, Australia and Netherlands. Tom Cox's co-authors include Roli Khattri, Fred Ramsdell, Mark W. Appleby, R. N. Peterson, Mary E. Brunkow, Steven F. Ziegler, Marty Mortrud, Deborah J. Kasprowicz, Matthew W. Kemp and Alan H. Jobe and has published in prestigious journals such as Nature Immunology, The Journal of Immunology and PLoS ONE.

In The Last Decade

Tom Cox

7 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An essential role for Scurfin in CD4+CD25+ T regulatory cells

2003 2.3k citations Roli Khattri, Tom Cox et al. Nature Immunology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tom Cox United States	6	2.3k	349	262	184	128	7	2.5k
Misako Itoh Japan	8	2.6k 1.1×	407 1.2×	258 1.0×	182 1.0×	129 1.0×	9	2.9k
David M. Soper United States	6	2.2k 1.0×	418 1.2×	202 0.8×	137 0.7×	179 1.4×	8	2.5k
Nancy Craighead United States	16	1.4k 0.6×	549 1.6×	205 0.8×	283 1.5×	162 1.3×	22	1.9k
Nikole Perdue United States	14	1.6k 0.7×	279 0.8×	181 0.7×	218 1.2×	117 0.9×	22	2.0k
Jennifer Freyer Germany	5	2.0k 0.9×	360 1.0×	191 0.7×	435 2.4×	131 1.0×	7	2.4k
Christiane Siewert Germany	9	1.9k 0.8×	327 0.9×	142 0.5×	299 1.6×	84 0.7×	14	2.2k
Yuhshi Kuniyasu Japan	7	3.4k 1.5×	570 1.6×	322 1.2×	219 1.2×	150 1.2×	8	3.8k
Yonglian Sun United States	27	1.5k 0.7×	516 1.5×	280 1.1×	346 1.9×	201 1.6×	39	2.1k
Guillaume Darrasse-Jèze France	15	2.2k 1.0×	404 1.2×	127 0.5×	326 1.8×	130 1.0×	24	2.5k
Monika Srivastava Australia	7	2.4k 1.0×	354 1.0×	154 0.6×	362 2.0×	138 1.1×	9	2.8k

Countries citing papers authored by Tom Cox

Since Specialization

Citations

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

Fields of papers citing papers by Tom Cox

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Cox. 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 Tom Cox. The network helps show where Tom Cox may publish in the future.

Co-authorship network of co-authors of Tom Cox

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Cox. A scholar is included among the top collaborators of Tom Cox based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tom Cox. Tom Cox is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Khattri, Roli, et al.. (2017). Pillars Article: An Essential Role for Scurfin in CD4+CD25+ T Regulatory Cells. Nat. Immunol. 2003. 4: 337–342. The Journal of Immunology. 198(3). 993–998. 3 indexed citations

2.

Khattri, Roli, et al.. (2017). Pillars Article: An Essential Role for Scurfin in CD4+CD25+ T Regulatory Cells. Nat. Immunol. 2003. 4: 337-342.. PubMed. 198(3). 993–998. 26 indexed citations

3.

Kemp, Matthew W., Paranthaman S. Kannan, Masatoshi Saito, et al.. (2013). Selective Exposure of the Fetal Lung and Skin/Amnion (but Not Gastro-Intestinal Tract) to LPS Elicits Acute Systemic Inflammation in Fetal Sheep. PLoS ONE. 8(5). e63355–e63355. 33 indexed citations

4.

Khattri, Roli, et al.. (2003). An essential role for Scurfin in CD4+CD25+ T regulatory cells. Nature Immunology. 4(4). 337–342. 2310 indexed citations breakdown →

5.

Khattri, Roli, Deborah J. Kasprowicz, Tom Cox, et al.. (2001). The Amount of Scurfin Protein Determines Peripheral T Cell Number and Responsiveness. The Journal of Immunology. 167(11). 6312–6320. 127 indexed citations

6.

Levi, S, C T Dollery, S. R. Bloom, et al.. (1989). Campylobacter pylori, duodenal ulcer disease, and gastrin.. BMJ. 299(6707). 1093–1094. 7 indexed citations

7.

Cox, Tom & R. N. Peterson. (1989). Identification of calcium conducting channels in isolated boar sperm plasma membranes. Biochemical and Biophysical Research Communications. 161(1). 162–168. 31 indexed citations

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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