James P. Allison

119.4k total citations · 67 hit papers
487 papers, 72.3k citations indexed

About

James P. Allison is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, James P. Allison has authored 487 papers receiving a total of 72.3k indexed citations (citations by other indexed papers that have themselves been cited), including 327 papers in Immunology, 242 papers in Oncology and 49 papers in Molecular Biology. Recurrent topics in James P. Allison's work include Immunotherapy and Immune Responses (195 papers), Cancer Immunotherapy and Biomarkers (188 papers) and Immune Cell Function and Interaction (171 papers). James P. Allison is often cited by papers focused on Immunotherapy and Immune Responses (195 papers), Cancer Immunotherapy and Biomarkers (188 papers) and Immune Cell Function and Interaction (171 papers). James P. Allison collaborates with scholars based in United States, Australia and United Kingdom. James P. Allison's co-authors include Padmanee Sharma, Matthew F. Krummel, Dana R. Leach, Cynthia A. Chambers, Jedd D. Wolchok, Spencer C. Wei, Karl S. Peggs, Jackson G. Egen, Colm R. Duffy and Wendy L. Havran and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

James P. Allison

476 papers receiving 70.8k citations

Hit Papers

The future of immune chec... 1974 2026 1991 2008 2015 2005 1996 2018 1995 1000 2.0k 3.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
James P. Allison 50.0k 39.1k 13.1k 5.9k 5.1k 487 72.3k
Gordon J. Freeman 54.1k 1.1× 38.6k 1.0× 14.7k 1.1× 8.3k 1.4× 4.1k 0.8× 419 82.7k
Mark J. Smyth 52.9k 1.1× 37.6k 1.0× 20.2k 1.5× 5.1k 0.9× 3.7k 0.7× 595 81.6k
Suzanne L. Topalian 27.0k 0.5× 32.6k 0.8× 12.4k 0.9× 7.7k 1.3× 4.4k 0.9× 215 49.2k
Arlene H. Sharpe 47.7k 1.0× 28.8k 0.7× 16.3k 1.2× 4.6k 0.8× 5.8k 1.1× 408 75.8k
Lieping Chen 36.0k 0.7× 34.3k 0.9× 9.2k 0.7× 6.6k 1.1× 2.4k 0.5× 368 55.6k
Drew M. Pardoll 46.7k 0.9× 45.0k 1.2× 23.5k 1.8× 8.8k 1.5× 6.0k 1.2× 403 83.2k
Robert D. Schreiber 48.3k 1.0× 33.6k 0.9× 20.7k 1.6× 4.4k 0.8× 4.6k 0.9× 385 79.6k
Jedd D. Wolchok 29.7k 0.6× 45.3k 1.2× 16.2k 1.2× 11.0k 1.9× 2.8k 0.6× 568 65.0k
Lloyd J. Old 47.4k 0.9× 33.7k 0.9× 33.2k 2.5× 5.8k 1.0× 7.5k 1.5× 722 85.7k
Nicholas P. Restifo 45.9k 0.9× 39.1k 1.0× 17.7k 1.4× 1.9k 0.3× 9.7k 1.9× 347 65.0k

Countries citing papers authored by James P. Allison

Since Specialization
Citations

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

Fields of papers citing papers by James P. Allison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James P. Allison

This figure shows the co-authorship network connecting the top 25 collaborators of James P. Allison. A scholar is included among the top collaborators of James P. Allison 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 P. Allison. James P. Allison 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.
Shi, Lewis Z., Sangeeta Goswami, Tihui Fu, et al.. (2019). Blockade of CTLA-4 and PD-1 Enhances Adoptive T-cell Therapy Efficacy in an ICOS-Mediated Manner. Cancer Immunology Research. 7(11). 1803–1812. 35 indexed citations
2.
Vence, Luis M., Samantha Bucktrout, Irina Fernandez Curbelo, et al.. (2019). Characterization and Comparison of GITR Expression in Solid Tumors. Clinical Cancer Research. 25(21). 6501–6510. 38 indexed citations
3.
Kreymborg, Katharina, Stefan Haak, Rajmohan Murali, et al.. (2015). Ablation of B7-H3 but Not B7-H4 Results in Highly Increased Tumor Burden in a Murine Model of Spontaneous Prostate Cancer. Cancer Immunology Research. 3(8). 849–854. 30 indexed citations
4.
Pentcheva‐Hoang, Tsvetelina, Tyler R. Simpson, Welby Montalvo-Ortiz, & James P. Allison. (2014). Cytotoxic T Lymphocyte Antigen-4 Blockade Enhances Antitumor Immunity by Stimulating Melanoma-Specific T-cell Motility. Cancer Immunology Research. 2(10). 970–980. 63 indexed citations
5.
Curran, Michael A., Theresa L. Geiger, Myoungjoo Kim, et al.. (2013). Systemic 4-1BB activation induces a novel T cell phenotype driven by high expression of Eomesodermin. The Journal of Experimental Medicine. 210(4). 743–755. 134 indexed citations
6.
Malchow, Sven, Daniel S. Leventhal, Saki Nishi, et al.. (2013). Aire-Dependent Thymic Development of Tumor-Associated Regulatory T Cells. Science. 339(6124). 1219–1224. 251 indexed citations breakdown →
7.
Kitano, Shigehisa, Takemasa Tsuji, Daniel Hirschhorn-Cymerman, et al.. (2013). Enhancement of Tumor-Reactive Cytotoxic CD4+ T-cell Responses after Ipilimumab Treatment in Four Advanced Melanoma Patients. Cancer Immunology Research. 1(4). 235–244. 96 indexed citations
8.
Simpson, Tyler R., Fubin Li, Welby Montalvo-Ortiz, et al.. (2013). Fc-dependent depletion of tumor-infiltrating regulatory T cells co-defines the efficacy of anti–CTLA-4 therapy against melanoma. The Journal of Experimental Medicine. 210(9). 1695–1710. 1093 indexed citations breakdown →
9.
Tang, Derek Ng, Yu Shen, Jingjing Sun, et al.. (2013). Increased Frequency of ICOS+ CD4 T Cells as a Pharmacodynamic Biomarker for Anti-CTLA-4 Therapy. Cancer Immunology Research. 1(4). 229–234. 146 indexed citations
10.
Waitz, Rebecca, Stephen B. Solomon, Elena N. Petre, et al.. (2011). Potent Induction of Tumor Immunity by Combining Tumor Cryoablation with Anti–CTLA-4 Therapy. Cancer Research. 72(2). 430–439. 210 indexed citations
11.
Nishikawa, Hiroyoshi, Daisuke Muraoka, Linan Wang, et al.. (2010). Two Distinct Mechanisms of Augmented Antitumor Activity by Modulation of Immunostimulatory/Inhibitory Signals. Clinical Cancer Research. 16(10). 2781–2791. 106 indexed citations
12.
Quezada, Sergio A., Tyler R. Simpson, Karl S. Peggs, et al.. (2010). Tumor-reactive CD4+ T cells develop cytotoxic activity and eradicate large established melanoma after transfer into lymphopenic hosts. The Journal of Experimental Medicine. 207(3). 637–650. 635 indexed citations breakdown →
13.
Carthon, Bradley Curtis, Jedd D. Wolchok, Jianda Yuan, et al.. (2010). Preoperative CTLA-4 Blockade: Tolerability and Immune Monitoring in the Setting of a Presurgical Clinical Trial. Clinical Cancer Research. 16(10). 2861–2871. 358 indexed citations breakdown →
14.
Gottschalk, Rachel A., Emily Corse, & James P. Allison. (2010). TCR ligand density and affinity determine peripheral induction of Foxp3 in vivo. The Journal of Experimental Medicine. 207(8). 1701–1711. 212 indexed citations
15.
Peggs, Karl S., Sergio A. Quezada, Cynthia A. Chambers, Alan J. Korman, & James P. Allison. (2009). Blockade of CTLA-4 on both effector and regulatory T cell compartments contributes to the antitumor activity of anti–CTLA-4 antibodies. The Journal of Experimental Medicine. 206(8). 1717–1725. 726 indexed citations breakdown →
16.
Curran, Michael A. & James P. Allison. (2009). Tumor Vaccines Expressing Flt3 Ligand Synergize with CTLA-4 Blockade to Reject Preimplanted Tumors. Cancer Research. 69(19). 7747–7755. 110 indexed citations
17.
Savage, Peter A., Keith Vosseller, Chulho Kang, et al.. (2008). Recognition of a Ubiquitous Self Antigen by Prostate Cancer-Infiltrating CD8 + T Lymphocytes. Science. 319(5860). 215–220. 71 indexed citations
18.
Kavanagh, Brian D., Shaun O’Brien, David Lee, et al.. (2008). CTLA4 blockade expands FoxP3+ regulatory and activated effector CD4+ T cells in a dose-dependent fashion. Blood. 112(4). 1175–1183. 201 indexed citations
19.
Fecci, Peter E., Hidenobu Ochiai, Duane A. Mitchell, et al.. (2007). Systemic CTLA-4 Blockade Ameliorates Glioma-Induced Changes to the CD4+ T Cell Compartment without Affecting Regulatory T-Cell Function. Clinical Cancer Research. 13(7). 2158–2167. 265 indexed citations
20.
Phan, Giao Q., James Chih‐Hsin Yang, Richard M. Sherry, et al.. (2003). Cancer regression and autoimmunity induced by cytotoxic T lymphocyte-associated antigen 4 blockade in patients with metastatic melanoma. Proceedings of the National Academy of Sciences. 100(14). 8372–8377. 1234 indexed citations breakdown →

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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