Peter A. Cohen

6.6k total citations · 1 hit paper
85 papers, 5.0k citations indexed

About

Peter A. Cohen is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Peter A. Cohen has authored 85 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Immunology, 39 papers in Oncology and 20 papers in Molecular Biology. Recurrent topics in Peter A. Cohen's work include Immunotherapy and Immune Responses (56 papers), CAR-T cell therapy research (23 papers) and Immune Cell Function and Interaction (21 papers). Peter A. Cohen is often cited by papers focused on Immunotherapy and Immune Responses (56 papers), CAR-T cell therapy research (23 papers) and Immune Cell Function and Interaction (21 papers). Peter A. Cohen collaborates with scholars based in United States, Canada and Malaysia. Peter A. Cohen's co-authors include James H. Finke, Jennifer S. Ko, Gary K. Koski, Brian I. Rini, Suyu Shu, Joanna Ireland, Patricia Rayman, Brian J. Czerniecki, Shuwen Xu and Sandra Gendler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Peter A. Cohen

83 papers receiving 4.9k 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.

Sunitinib Mediates Reversal of Myeloid-Derived Suppressor Cell Accumulation in Renal Cell Carcinoma Patients

2009 690 citations Jennifer S. Ko, Arnold H. Zea et al. Clinical Cancer Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter A. Cohen United States	39	3.5k	2.0k	1.6k	368	321	85	5.0k
Shinsuke Iida Japan	46	2.7k 0.8×	2.7k 1.3×	3.0k 1.9×	278 0.8×	490 1.5×	331	7.8k
Heinz Läubli Switzerland	38	2.1k 0.6×	1.8k 0.9×	2.6k 1.6×	479 1.3×	442 1.4×	95	4.9k
Lindy G. Durrant United Kingdom	40	2.7k 0.8×	2.0k 1.0×	1.9k 1.2×	260 0.7×	338 1.1×	157	4.7k
Shiro Akinaga Japan	43	1.7k 0.5×	1.8k 0.9×	3.7k 2.3×	408 1.1×	381 1.2×	122	6.6k
Marco Donia Denmark	45	3.8k 1.1×	4.3k 2.1×	2.0k 1.2×	520 1.4×	490 1.5×	195	6.7k
Mamoru Harada Japan	37	2.0k 0.6×	1.4k 0.7×	1.2k 0.8×	290 0.8×	235 0.7×	165	3.6k
Amy J. Johnson United States	49	2.6k 0.7×	2.2k 1.1×	3.6k 2.2×	888 2.4×	346 1.1×	191	9.3k
Robert A. Kirken United States	37	1.8k 0.5×	2.2k 1.1×	1.6k 1.0×	167 0.5×	566 1.8×	111	4.5k
Kerri Mowen United States	25	2.4k 0.7×	864 0.4×	2.5k 1.6×	252 0.7×	351 1.1×	33	5.3k
Lyudmila G. Burdelya United States	22	1.3k 0.4×	1.3k 0.6×	1.2k 0.7×	334 0.9×	475 1.5×	35	3.1k

Countries citing papers authored by Peter A. Cohen

Since Specialization

Citations

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

Fields of papers citing papers by Peter A. Cohen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter A. Cohen. 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 Peter A. Cohen. The network helps show where Peter A. Cohen may publish in the future.

Co-authorship network of co-authors of Peter A. Cohen

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

All Works

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20 of 20 papers shown

Supekar, Nitin T., Vani Lakshminarayanan, Chantelle J. Capicciotti, et al.. (2017). Synthesis and Immunological Evaluation of a Multicomponent Cancer Vaccine Candidate Containing a Long MUC1 Glycopeptide. ChemBioChem. 19(2). 121–125. 15 indexed citations

Pathangey, Latha, Dustin McCurry, Sandra Gendler, et al.. (2016). Surrogatein vitroactivation of innate immunity synergizes with interleukin-7 to unleash rapid antigen-driven outgrowth of CD4+ and CD8+ human peripheral blood T-cells naturally recognizing MUC1, HER2/neu and other tumor-associated antigens. Oncotarget. 8(7). 10785–10808. 15 indexed citations

Hoelzinger, Dominique B., Ana Lucía Dominguez, Peter A. Cohen, & Sandra Gendler. (2014). Inhibition of Adaptive Immunity by IL9 Can Be Disrupted to Achieve Rapid T-cell Sensitization and Rejection of Progressive Tumor Challenges. Cancer Research. 74(23). 6845–6855. 42 indexed citations

Madsen, Cathy S., et al.. (2013). Downregulation of Hematopoietic MUC1 during Experimental Colitis Increases Tumor-Promoting Myeloid-Derived Suppressor Cells. Clinical Cancer Research. 19(18). 5039–5052. 17 indexed citations

Lakshminarayanan, Vani, Pamela Thompson, Margreet A. Wolfert, et al.. (2011). Tri-component MUC1 glycopeptide vaccine induced both humoral and cellular immune responses in MUC1.Tg mice with MMT tumor. (48.20). The Journal of Immunology. 186(1_Supplement). 48.20–48.20. 1 indexed citations

Ko, Jennifer S., Patricia Rayman, Joanna Ireland, et al.. (2010). Direct and Differential Suppression of Myeloid-Derived Suppressor Cell Subsets by Sunitinib Is Compartmentally Constrained. Cancer Research. 70(9). 3526–3536. 223 indexed citations

Paustian, Christopher, Peter A. Cohen, Suyu Shu, et al.. (2010). Effect of multiple activation stimuli on the generation of Th1-polarizing dendritic cells. Human Immunology. 72(1). 24–31. 18 indexed citations

Ko, Jennifer S., Arnold H. Zea, Brian I. Rini, et al.. (2009). Sunitinib Mediates Reversal of Myeloid-Derived Suppressor Cell Accumulation in Renal Cell Carcinoma Patients. Clinical Cancer Research. 15(6). 2148–2157. 690 indexed citations breakdown →

Koski, Gary K., et al.. (2009). Toll‐like receptor agonists as third signals for dendritic cell–tumor fusion vaccines. Head & Neck. 32(6). 700–707. 12 indexed citations

10.

Watanabe, Satoshi, et al.. (2008). Tumor-Induced CD11b+Gr-1+ Myeloid Cells Suppress T Cell Sensitization in Tumor-Draining Lymph Nodes. The Journal of Immunology. 181(5). 3291–3300. 111 indexed citations

11.

Lee, Walter T., et al.. (2008). Immunotherapy of Established Murine Squamous Cell Carcinoma Using Fused Dendritic-Tumor Cell Hybrids. Archives of Otolaryngology - Head and Neck Surgery. 134(6). 608–608. 4 indexed citations

12.

Koski, Gary K., Peter A. Cohen, Robert E. Roses, Shuwen Xu, & Brian J. Czerniecki. (2008). Reengineering dendritic cell‐based anti‐cancer vaccines. Immunological Reviews. 222(1). 256–276. 48 indexed citations

13.

Koski, Gary K., Katalin Karikó, Shuwen Xu, et al.. (2004). Cutting Edge: Innate Immune System Discriminates between RNA Containing Bacterial versus Eukaryotic Structural Features That Prime for High-Level IL-12 Secretion by Dendritic Cells. The Journal of Immunology. 172(7). 3989–3993. 101 indexed citations

14.

Kjaergäard, Jørgen, et al.. (2004). Memory T Cells Originate from Adoptively Transferred Effectors and Reconstituting Host Cells after Sequential Lymphodepletion and Adoptive Immunotherapy. The Journal of Immunology. 172(6). 3462–3468. 24 indexed citations

15.

Xu, Shuwen, Gary K. Koski, Mark B. Faries, et al.. (2003). Rapid High Efficiency Sensitization of CD8+ T Cells to Tumor Antigens by Dendritic Cells Leads to Enhanced Functional Avidity and Direct Tumor Recognition Through an IL-12-Dependent Mechanism. The Journal of Immunology. 171(5). 2251–2261. 116 indexed citations

16.

Kjaergäard, Jørgen, Liaomin Peng, Peter A. Cohen, et al.. (2001). Augmentation Versus Inhibition: Effects of Conjunctional OX-40 Receptor Monoclonal Antibody and IL-2 Treatment on Adoptive Immunotherapy of Advanced Tumor. The Journal of Immunology. 167(11). 6669–6677. 61 indexed citations

17.

Podrez, Eugene A., Maria Febbraio, Nader Sheibani, et al.. (2000). Macrophage scavenger receptor CD36 is the major receptor for LDL modified by monocyte-generated reactive nitrogen species. Journal of Clinical Investigation. 105(8). 1095–1108. 354 indexed citations

18.

Peng, Liaomin, Jørgen Kjaergäard, Gregory E. Plautz, et al.. (2000). Helper-Independent, L-Selectinlow CD8+ T Cells with Broad Anti-Tumor Efficacy Are Naturally Sensitized During Tumor Progression. The Journal of Immunology. 165(10). 5738–5749. 27 indexed citations

19.

Peng, Liaomin, John C. Krauss, Gregory E. Plautz, et al.. (2000). T Cell-Mediated Tumor Rejection Displays Diverse Dependence Upon Perforin and IFN-γ Mechanisms That Cannot Be Predicted From In Vitro T Cell Characteristics. The Journal of Immunology. 165(12). 7116–7124. 39 indexed citations

20.

Cohen, Peter A. & G.H.N. Towers. (1996). Biosynthetic studies on chlorinated anthraquinones in the lichen Nephroma laevigatum. Phytochemistry. 42(5). 1325–1329. 22 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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