Cole T. Thomson

468 total citations
9 papers, 435 citations indexed

About

Cole T. Thomson is a scholar working on Immunology, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Cole T. Thomson has authored 9 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Molecular Biology and 1 paper in Organic Chemistry. Recurrent topics in Cole T. Thomson's work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (3 papers). Cole T. Thomson is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (3 papers). Cole T. Thomson collaborates with scholars based in United States, France and Canada. Cole T. Thomson's co-authors include James C. Sacchettini, Thomas M. Kündig, Pamela S. Ohashi, Kagari Aoki, John P. Mayer, Eric Sebzda, S.G. Nathenson, Rui Sun, Ronald A. DePinho and Ken Chen and has published in prestigious journals such as Nature Genetics, The Journal of Experimental Medicine and Immunity.

In The Last Decade

Cole T. Thomson

9 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cole T. Thomson United States 8 275 178 75 47 29 9 435
Michelle L. VanLith United States 6 218 0.8× 251 1.4× 87 1.2× 107 2.3× 29 1.0× 6 360
Ran Salomon Israel 7 222 0.8× 135 0.8× 145 1.9× 36 0.8× 14 0.5× 9 397
A Weiss United States 5 284 1.0× 214 1.2× 65 0.9× 52 1.1× 8 0.3× 6 404
Laura Hutchins United States 9 175 0.6× 209 1.2× 131 1.7× 87 1.9× 14 0.5× 16 353
Karen E. Chaffin United States 6 306 1.1× 218 1.2× 120 1.6× 27 0.6× 71 2.4× 8 481
Sophia D. Sarafova United States 9 413 1.5× 96 0.5× 123 1.6× 18 0.4× 17 0.6× 12 485
Sarah Jarmin United Kingdom 7 303 1.1× 140 0.8× 165 2.2× 10 0.2× 22 0.8× 10 454
Joost C. van der Horst Netherlands 10 265 1.0× 317 1.8× 85 1.1× 37 0.8× 11 0.4× 10 429
L A Conroy United Kingdom 5 395 1.4× 234 1.3× 75 1.0× 8 0.2× 15 0.5× 7 480
Andrea Ho United States 5 90 0.3× 249 1.4× 86 1.1× 25 0.5× 124 4.3× 8 385

Countries citing papers authored by Cole T. Thomson

Since Specialization
Citations

This map shows the geographic impact of Cole T. Thomson'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 Cole T. Thomson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cole T. Thomson more than expected).

Fields of papers citing papers by Cole T. Thomson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cole T. Thomson. 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 Cole T. Thomson. The network helps show where Cole T. Thomson may publish in the future.

Co-authorship network of co-authors of Cole T. Thomson

This figure shows the co-authorship network connecting the top 25 collaborators of Cole T. Thomson. A scholar is included among the top collaborators of Cole T. Thomson 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 Cole T. Thomson. Cole T. Thomson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Christie, John M., Michael R. Jones, Stuart Sullivan, & Cole T. Thomson. (2007). Structure-function analysis of phototropin blue-light receptors. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 146(4). S227–S227. 1 indexed citations
2.
Thomson, Cole T., Alexis M. Kalergis, James C. Sacchettini, & Stanley G. Nathenson. (2001). A Structural Difference Limited to One Residue of the Antigenic Peptide Can Profoundly Alter the Biological Outcome of the TCR-Peptide/MHC Class I Interaction. The Journal of Immunology. 166(6). 3994–3997. 18 indexed citations
3.
O’Hagan, Rónán C., Nicole Schreiber‐Agus, Ken Chen, et al.. (2000). Gene-target recognition among members of the Myc superfamily and implications for oncogenesis. Nature Genetics. 24(2). 113–119. 120 indexed citations
4.
Franco, Alessandra, Takashi Yokoyama, Dung T. Huynh, et al.. (1999). Fine Specificity and MHC Restriction of Trinitrophenyl- Specific CTL. The Journal of Immunology. 162(6). 3388–3394. 22 indexed citations
5.
Goyarts, Earl, Alexis M. Kalergis, Heidi Hörig, et al.. (1998). Point mutations in the β chain CDR3 can alter the T cell receptor recognition pattern on an MHC class I\peptide complex over a broad interface area. Molecular Immunology. 35(10). 593–607. 21 indexed citations
6.
Sebzda, Eric, Thomas M. Kündig, Cole T. Thomson, et al.. (1996). Mature T cell reactivity altered by peptide agonist that induces positive selection.. The Journal of Experimental Medicine. 183(3). 1093–1104. 135 indexed citations
8.
Ishikawa, Sho, Czeslawa Kowal, B C Cole, Cole T. Thomson, & Beverly Diamond. (1995). Replacement of N -glycosylation sites on the MHC class II E alpha chain. Effect on thymic selection and peripheral T cell activation.. The Journal of Immunology. 154(10). 5023–5029. 9 indexed citations
9.
Schreiber‐Agus, Nicole, Lynda Chin, Ken Chen, et al.. (1994). Evolutionary relationships and functional conservation among vertebrate Max-associated proteins: the zebra fish homolog of Mxi1.. PubMed. 9(11). 3167–77. 25 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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