James D. Watson

6.8k total citations · 1 hit paper
93 papers, 4.4k citations indexed

About

James D. Watson is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, James D. Watson has authored 93 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Immunology, 26 papers in Molecular Biology and 11 papers in Epidemiology. Recurrent topics in James D. Watson's work include Immune Response and Inflammation (18 papers), Immunotherapy and Immune Responses (13 papers) and Immune Cell Function and Interaction (12 papers). James D. Watson is often cited by papers focused on Immune Response and Inflammation (18 papers), Immunotherapy and Immune Responses (13 papers) and Immune Cell Function and Interaction (12 papers). James D. Watson collaborates with scholars based in United States, New Zealand and United Kingdom. James D. Watson's co-authors include Roy Riblet, Diane Y. Mochizuki, Benjamin A. Taylor, Courtney Beers, Minoo Ahdieh, Dirk Anderson, June Eisenman, Victor Fung, M A Schoenborn and Jane S. Richardson and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

James D. Watson

90 papers receiving 4.1k citations

Hit Papers

Cloning of a T Cell Growth Factor that Interacts with the... 1994 2026 2004 2015 1994 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James D. Watson United States 28 2.7k 1.2k 561 514 373 93 4.4k
Hideo Nariuchi Japan 35 2.8k 1.0× 899 0.7× 633 1.1× 384 0.7× 391 1.0× 130 4.3k
D Fradelizi France 39 2.6k 1.0× 1.1k 0.9× 711 1.3× 579 1.1× 304 0.8× 114 4.4k
Nancy C. Fiore United States 17 2.3k 0.9× 1.4k 1.2× 929 1.7× 465 0.9× 288 0.8× 23 4.6k
Mogens H. Claësson Denmark 36 3.1k 1.1× 1.2k 1.0× 951 1.7× 414 0.8× 315 0.8× 212 4.6k
J J Oppenheim United States 34 2.5k 0.9× 1.2k 1.0× 919 1.6× 398 0.8× 495 1.3× 46 4.7k
Gale A. Granger United States 34 3.4k 1.3× 1.5k 1.2× 945 1.7× 479 0.9× 554 1.5× 156 5.4k
Irene S. Figari United States 8 2.6k 0.9× 1.5k 1.3× 1.1k 2.0× 619 1.2× 542 1.5× 11 4.8k
Melanie R. Mark United States 13 2.5k 0.9× 1.2k 1.0× 420 0.7× 478 0.9× 133 0.4× 14 4.0k
James P. Merryweather United States 17 1.4k 0.5× 1.6k 1.4× 313 0.6× 584 1.1× 215 0.6× 22 4.1k
Dwain L. Thiele United States 31 1.5k 0.6× 879 0.7× 545 1.0× 800 1.6× 223 0.6× 89 3.6k

Countries citing papers authored by James D. Watson

Since Specialization
Citations

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

Fields of papers citing papers by James D. Watson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James D. Watson

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

All Works

20 of 20 papers shown
1.
Chandra, Sidhanth, Naveen Kumar Singhal, Elyse Watkins, et al.. (2025). The gut microbiome controls reactive astrocytosis during Aβ amyloidosis via propionate-mediated regulation of IL-17. Journal of Clinical Investigation. 135(13). 2 indexed citations
2.
Bencze, Szilvia, Keith Rivera, James D. Watson, et al.. (2021). Author Correction: Mito-oncology agent: fermented extract suppresses the Warburg effect, restores oxidative mitochondrial activity, and inhibits in vivo tumor growth. Scientific Reports. 11(1). 3036–3036. 1 indexed citations
3.
Froeling, Fieke E. M., Astrid Deschênes, Iok In Christine Chio, et al.. (2019). Bioactivation of Napabucasin Triggers Reactive Oxygen Species–Mediated Cancer Cell Death. Clinical Cancer Research. 25(23). 7162–7174. 58 indexed citations
4.
Sleeman, Matthew A., Megan C. McDonald, Prudence M. Grandison, et al.. (2001). Identification of a new fibroblast growth factor receptor, FGFR5. Gene. 271(2). 171–182. 215 indexed citations
5.
Sleeman, Matthew A., J. Greg Murison, Ross L. Prestidge, et al.. (2000). B cell- and monocyte-activating chemokine (BMAC), a novel non-ELR α-chemokine. International Immunology. 12(5). 677–689. 91 indexed citations
6.
Watson, James D., et al.. (1995). Cytokine mRNA expressed in tuberculin skin test biopsies from BCG‐vaccinated and Mycobacterium bovis inoculated cattle. Immunology and Cell Biology. 73(4). 362–368. 10 indexed citations
7.
Brooks, Jack C., et al.. (1995). Amylase secretion by cultured porcine parotid cells. Archives of Oral Biology. 40(5). 425–432. 4 indexed citations
8.
Alberts, Bruce, Dennis Bray, Julian Lewis, et al.. (1994). MHC Molecules and Antigen Presentation to T Cells. 124. 741–6. 1 indexed citations
9.
Print, Cristin G., et al.. (1994). Cloning of a gene encoding a human leukocyte protein characterised by extensive heptad repeats. Gene. 144(2). 221–228. 13 indexed citations
10.
Doherty, T. Mark, et al.. (1993). Identification of T cell stimulatory epitopes from the 18 kDa protein of Mycobacterium leprae. International Immunology. 5(6). 673–680. 1 indexed citations
11.
Leung, Euphemia, et al.. (1993). The mouse β7 integrin gene promoter: transcriptional regulation of the leukocyte integrins LPAM-1 and M290. International Immunology. 5(5). 551–558. 14 indexed citations
12.
Jenkins, David R., et al.. (1992). The gene organization of the human β7 subunit, the common β subunit of the leukocyte integrins HML-1 and LPAM-1. International Immunology. 4(9). 1031–1040. 12 indexed citations
13.
Krissansen, Geoffrey W., Cristin G. Print, Ross L. Prestidge, et al.. (1992). Immunologic and structural relatedness of the integrin β7complex and the human intraepithelial lymphocyte antigen HML‐1. FEBS Letters. 296(1). 25–28. 13 indexed citations
15.
Watson, James D.. (1986). Cytokines and their receptors. Immunology Today. 7(11). 320–321. 6 indexed citations
16.
Herbert, Alan & James D. Watson. (1986). T-cell ontogeny: the role of a stimulator — suppressor cell. Immunology Today. 7(3). 72–76. 2 indexed citations
17.
Jones, William T., Roger J. Booth, & James D. Watson. (1984). Monoclonal antibodies against band 4 protein of bovine saliva. New Zealand Journal of Agricultural Research. 27(2). 189–194. 1 indexed citations
18.
Watson, James D., Lucien A. Aarden, & Ivan Lefkovits. (1979). The Purification and Quantitation of Helper T Cell-Replacing Factors Secreted by Murine Spleen Cells Activated by Concanavalin A. The Journal of Immunology. 122(1). 209–215. 68 indexed citations
19.
Watson, James D. & Roy Riblet. (1974). GENETIC CONTROL OF RESPONSES TO BACTERIAL LIPOPOLYSACCHARIDES IN MICE. The Journal of Experimental Medicine. 140(5). 1147–1161. 302 indexed citations
20.
Watson, James D.. (1973). The Role of Humoral Factors in the Initiation of in Vitro Primary Immune Responses. The Journal of Immunology. 111(5). 1301–1313. 38 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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