Ed Palmer

9.0k total citations
112 papers, 7.4k citations indexed

About

Ed Palmer is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ed Palmer has authored 112 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Immunology, 21 papers in Oncology and 21 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ed Palmer's work include T-cell and B-cell Immunology (90 papers), Immune Cell Function and Interaction (74 papers) and Immunotherapy and Immune Responses (38 papers). Ed Palmer is often cited by papers focused on T-cell and B-cell Immunology (90 papers), Immune Cell Function and Interaction (74 papers) and Immunotherapy and Immune Responses (38 papers). Ed Palmer collaborates with scholars based in United States, Switzerland and Spain. Ed Palmer's co-authors include Guy Werlen, Barbara Hausmann, J Bill, Dieter Naeher, David L. Woodland, Brian L. Kotzin, Mary Pat Happ, Mark A. Daniëls, Nicholas R. J. Gascoigne and Laurence A. Turka and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ed Palmer

112 papers receiving 7.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ed Palmer United States 47 6.0k 1.4k 1.3k 808 683 112 7.4k
Vipin Kumar United States 43 4.5k 0.8× 767 0.6× 782 0.6× 414 0.5× 576 0.8× 112 5.8k
Kong‐Peng Lam Singapore 44 4.8k 0.8× 941 0.7× 2.2k 1.6× 567 0.7× 432 0.6× 152 7.4k
Sarah M. Russell Australia 39 5.0k 0.8× 2.4k 1.8× 2.2k 1.7× 348 0.4× 597 0.9× 123 8.5k
Robert C. Rees United Kingdom 39 2.2k 0.4× 1.9k 1.4× 2.2k 1.6× 391 0.5× 419 0.6× 222 5.7k
Rajan P. Nair United States 39 4.1k 0.7× 1.1k 0.8× 2.9k 2.2× 599 0.7× 554 0.8× 77 7.0k
Oreste Acuto France 60 7.4k 1.2× 2.5k 1.8× 3.7k 2.8× 2.3k 2.8× 619 0.9× 156 11.3k
Carla De Giovanni Italy 39 2.0k 0.3× 1.8k 1.3× 2.1k 1.6× 677 0.8× 734 1.1× 149 4.7k
José Van der Heyden Belgium 32 2.1k 0.3× 872 0.6× 1.3k 0.9× 559 0.7× 246 0.4× 61 4.0k
Dennis M. Zaller United States 32 2.6k 0.4× 449 0.3× 1.4k 1.0× 885 1.1× 383 0.6× 55 4.1k
Ellen A. Robey United States 49 5.0k 0.8× 1.2k 0.8× 2.6k 2.0× 270 0.3× 388 0.6× 122 8.2k

Countries citing papers authored by Ed Palmer

Since Specialization
Citations

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

Fields of papers citing papers by Ed Palmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ed Palmer

This figure shows the co-authorship network connecting the top 25 collaborators of Ed Palmer. A scholar is included among the top collaborators of Ed Palmer 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 Ed Palmer. Ed Palmer 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.
Klose, Christoph S. N., Pedro P. Hernández, Karolina Ebert, et al.. (2014). The Transcription Factor T-bet Is Induced by IL-15 and Thymic Agonist Selection and Controls CD8αα+ Intraepithelial Lymphocyte Development. Immunity. 41(2). 230–243. 96 indexed citations
2.
Gascoigne, Nicholas R. J. & Ed Palmer. (2011). Signaling in thymic selection. Current Opinion in Immunology. 23(2). 207–212. 76 indexed citations
3.
Zenke, Gerhard, et al.. (2010). A discrete affinity-driven elevation of ZAP-70 kinase activity initiates negative selection. Journal of Receptors and Signal Transduction. 30(6). 430–443. 5 indexed citations
4.
Gil, Diana, Adam G. Schrum, Mark A. Daniëls, & Ed Palmer. (2008). A Role for CD8 in the Developmental Tuning of Antigen Recognition and CD3 Conformational Change. The Journal of Immunology. 180(6). 3900–3909. 22 indexed citations
5.
Szymczak, Andrea L, Creg J. Workman, Diana Gil, et al.. (2005). The CD3ε Proline-Rich Sequence, and Its Interaction with Nck, Is Not Required for T Cell Development and Function. The Journal of Immunology. 175(1). 270–275. 60 indexed citations
6.
Sandner, Sigrid, Alan D. Salama, Stuart L. Houser, et al.. (2003). New TCR Transgenic Model for Tracking Allospecific CD4 T-Cell Activation and Tolerance in Vivo. American Journal of Transplantation. 3(10). 1242–1250. 30 indexed citations
7.
Naeher, Dieter, Immanuel F. Luescher, & Ed Palmer. (2002). A Role for the α-Chain Connecting Peptide Motif in Mediating TCR-CD8 Cooperation. The Journal of Immunology. 169(6). 2964–2970. 29 indexed citations
8.
Langmuir, Peter, et al.. (2001). Quantifying the Frequency of Alloreactive T Cells In Vivo: New Answers to an Old Question. The Journal of Immunology. 166(2). 973–981. 422 indexed citations
9.
Rosette, Caridad, Guy Werlen, Mark A. Daniëls, et al.. (2001). The Impact of Duration versus Extent of TCR Occupancy on T Cell Activation. Immunity. 15(1). 59–70. 202 indexed citations
10.
Arcaro, Alexandre, Claude Grégoire, Nicole Boucheron, et al.. (2000). Essential Role of CD8 Palmitoylation in CD8 Coreceptor Function. The Journal of Immunology. 165(4). 2068–2076. 156 indexed citations
11.
12.
Bäckström, B. Thomas, Barbara Hausmann, & Ed Palmer. (1997). Signaling Efficiency of the T Cell Receptor Controlled by a Single Amino Acid in the β Chain Constant Region. The Journal of Experimental Medicine. 186(11). 1933–1938. 24 indexed citations
13.
Rozzo, Stephen J., et al.. (1995). Analysis of the New Zealand Black contribution to lupus-like renal disease. The Journal of Immunology. 154(5). 21 indexed citations
14.
Campbell, Kerry S., B. Thomas Bäckström, Georg Tiefenthaler, & Ed Palmer. (1994). CART: a conserved antigen receptor transmembrane motif. Seminars in Immunology. 6(6). 393–410. 83 indexed citations
15.
Rudy, Christine K., Eliyahu Kraus, Ed Palmer, & Brigitte T. Huber. (1992). Mls-1-like superantigen in the MA/MyJ mouse is encoded by a new mammary tumor provirus that is distinct from Mtv-7.. The Journal of Experimental Medicine. 175(6). 1613–1621. 32 indexed citations
16.
Woodland, David L., Frances E. Lund, Mary Pat Happ, et al.. (1991). Endogenous superantigen expression is controlled by mouse mammary tumor proviral loci.. The Journal of Experimental Medicine. 174(5). 1255–1258. 74 indexed citations
17.
Palmer, Ed, et al.. (1989). A Third Set of Genes Regulates Thymic Selection. Cold Spring Harbor Symposia on Quantitative Biology. 54(0). 135–145. 7 indexed citations
18.
Kotzin, Brian L. & Ed Palmer. (1988). Genetic contributions to lupus-like disease in NZB/NZW mice. The American Journal of Medicine. 85(6). 29–31. 6 indexed citations
19.
Kotzin, Brian L. & Ed Palmer. (1987). The contribution of NZW genes to lupus-like disease in (NZB x NZW)F1 mice.. The Journal of Experimental Medicine. 165(5). 1237–1251. 124 indexed citations
20.
Harary, Frank & Ed Palmer. (1966). Enumeration of mixed graphs. Proceedings of the American Mathematical Society. 17(3). 682–687. 12 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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