Douglas C. Palmer

198 total papers · 17.3k total citations
88 papers, 12.0k citations indexed

About

Douglas C. Palmer is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Douglas C. Palmer has authored 88 papers receiving a total of 12.0k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Immunology, 43 papers in Oncology and 9 papers in Molecular Biology. Recurrent topics in Douglas C. Palmer's work include Immune Cell Function and Interaction (39 papers), CAR-T cell therapy research (34 papers) and Immunotherapy and Immune Responses (33 papers). Douglas C. Palmer is often cited by papers focused on Immune Cell Function and Interaction (39 papers), CAR-T cell therapy research (34 papers) and Immunotherapy and Immune Responses (33 papers). Douglas C. Palmer collaborates with scholars based in United States, United Kingdom and Ireland. Douglas C. Palmer's co-authors include Nicholas P. Restifo, Luca Gattinoni, Christopher A. Klebanoff, Steven A. Rosenberg, Zhiya Yu, Paul A. Antony, Pawel Muranski, Steven E. Finkelstein, Claudia Wrzesinski and Christian S. Hinrichs and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Douglas C. Palmer

81 papers receiving 11.8k citations

Hit Papers

Removal of homeostatic cy... 2003 2026 2010 2018 2005 2009 2003 2005 2013 250 500 750
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Removal of homeostatic cytokine sinks by lymphodepletion enhances the efficacy of adoptively transferred tumor-specific CD8 + T cells
    2005 808 citations Luca Gattinoni, Steven E. Finkelstein et al. The Journal of Experimental Medicine profile →
  2. Wnt signaling arrests effector T cell differentiation and generates CD8+ memory stem cells
    2009 757 citations Luca Gattinoni, Xiaosong Zhong et al. Nature Medicine profile →
  3. Tumor Regression and Autoimmunity after Reversal of a Functionally Tolerant State of Self-reactive CD8+ T Cells
    2003 749 citations Willem W. Overwijk, Marc R. Theoret et al. The Journal of Experimental Medicine profile →
  4. Central memory self/tumor-reactive CD8 + T cells confer superior antitumor immunity compared with effector memory T cells
    2005 746 citations Christopher A. Klebanoff, Luca Gattinoni et al. Proceedings of the National Academy of Sciences profile →
  5. Inhibiting glycolytic metabolism enhances CD8+ T cell memory and antitumor function
    2013 714 citations Madhusudhanan Sukumar, Jie Liu et al. Journal of Clinical Investigation profile →
  6. Tumor-specific Th17-polarized cells eradicate large established melanoma
    2008 638 citations Pawel Muranski, Andrea Boni et al. Blood profile →
  7. CD8+ T Cell Immunity Against a Tumor/Self-Antigen Is Augmented by CD4+ T Helper Cells and Hindered by Naturally Occurring T Regulatory Cells
    2005 584 citations Paul A. Antony, Ciriaco A. Piccirillo et al. The Journal of Immunology profile →
  8. Ionic immune suppression within the tumour microenvironment limits T cell effector function
    2016 482 citations Robert Eil, Suman K. Vodnala et al. Nature profile →
  9. T cell stemness and dysfunction in tumors are triggered by a common mechanism
    2019 403 citations Suman K. Vodnala, Robert Eil et al. Science profile →

Author Peers

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

Author Last Decade Papers Cites
Douglas C. Palmer 8.1k 7.4k 3.1k 1.8k 901 88 12.0k
Brad H. Nelson 6.9k 0.9× 6.9k 0.9× 2.8k 0.9× 777 0.4× 262 0.3× 136 11.6k
Scott I. Abrams 4.9k 0.6× 3.7k 0.5× 2.5k 0.8× 605 0.3× 300 0.3× 176 8.2k
David M. Spencer 2.2k 0.3× 3.5k 0.5× 4.6k 1.5× 1.7k 0.9× 904 1.0× 132 8.1k
Yao‐Tseng Chen 8.8k 1.1× 5.0k 0.7× 7.0k 2.3× 893 0.5× 200 0.2× 123 13.8k
Michele De Palma 6.4k 0.8× 4.9k 0.7× 7.2k 2.3× 613 0.3× 1.2k 1.4× 101 14.2k
Gordon Stamp 2.1k 0.3× 5.0k 0.7× 7.2k 2.3× 1.1k 0.6× 354 0.4× 118 12.5k
Roland E. Kontermann 2.5k 0.3× 2.5k 0.3× 5.1k 1.7× 613 0.3× 602 0.7× 182 8.9k
Hilmar Lemke 3.6k 0.4× 3.4k 0.5× 3.4k 1.1× 722 0.4× 137 0.2× 74 12.2k
Klaus Okkenhaug 6.7k 0.8× 3.1k 0.4× 6.9k 2.3× 751 0.4× 233 0.3× 119 14.3k
Judith A. Varner 2.5k 0.3× 2.8k 0.4× 4.7k 1.5× 362 0.2× 609 0.7× 82 9.2k

Countries citing papers authored by Douglas C. Palmer

Since Specialization
Citations

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

Fields of papers citing papers by Douglas C. Palmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Douglas C. Palmer

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

All Works

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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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2026