David Pejoski

515 total citations
11 papers, 231 citations indexed

About

David Pejoski is a scholar working on Immunology, Molecular Biology and Biophysics. According to data from OpenAlex, David Pejoski has authored 11 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Molecular Biology and 2 papers in Biophysics. Recurrent topics in David Pejoski's work include Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). David Pejoski is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). David Pejoski collaborates with scholars based in France, Australia and Switzerland. David Pejoski's co-authors include David C. Jackson, Weiguang Zeng, Anne‐Sophie Beignon, Roger Le Grand, Nicolas Tchitchek, Antonio Cosma, Brendon Y. Chua, Stephen T. Turner, Guillaume Gautreau and Steven Rockman and has published in prestigious journals such as Bioinformatics, The Journal of Immunology and Journal of Medicinal Chemistry.

In The Last Decade

David Pejoski

11 papers receiving 228 citations

Peers

David Pejoski

IMMUN

EPIDE

ONCOL

Rachel A. Botting Australia

Adriana Tomić United Kingdom

Mary Giffear United States

Regina Hoo Singapore

Jennifer S. Spence United States

D M Howell United States

Babacar Mbengué Senegal

Elizabeth M. Parzych United States

Alejandro Marín-Menéndez United Kingdom

Rachel M. Rudlaff United States

Rachel A. Botting Australia

David Pejoski

263 ×1.8

IMMUN

101 ×1.5

42 ×0.6

EPIDE

47 ×1.2

23 ×1.1

ONCOL

Citations per year, relative to David Pejoski David Pejoski (= 1×) peers Rachel A. Botting

Countries citing papers authored by David Pejoski

Since Specialization

Citations

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

Fields of papers citing papers by David Pejoski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Pejoski

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

All Works

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11 of 11 papers shown

Smedt, Thibaut De, et al.. (2025). Discovery of the First Efficacious Adenosine 2A Receptor Negative Allosteric Modulators for High Adenosine Cancer Immunotherapies. Journal of Medicinal Chemistry. 68(4). 4059–4078. 3 indexed citations

Vono, Maria, Béatris Mastelic-Gavillet, Elodie Mohr, et al.. (2023). C-type lectin receptor agonists elicit functional IL21-expressing Tfh cells and induce primary B cell responses in neonates. Frontiers in Immunology. 14. 1155200–1155200. 4 indexed citations

Rosenbaum, Pierre, Nicolas Tchitchek, Candie Joly, et al.. (2021). Vaccine Inoculation Route Modulates Early Immunity and Consequently Antigen-Specific Immune Response. Frontiers in Immunology. 12. 645210–645210. 51 indexed citations

Rosenbaum, Pierre, Nicolas Tchitchek, Candie Joly, et al.. (2020). Vaccine Inoculation Route Modulates Early Immunity and Consequently Antigen-Specific Immune Response. SSRN Electronic Journal. 1 indexed citations

Pejoski, David, Marie Ballester, Floriane Auderset, et al.. (2019). Site-Specific DC Surface Signatures Influence CD4+ T Cell Co-stimulation and Lung-Homing. Frontiers in Immunology. 10. 1650–1650. 16 indexed citations

Pejoski, David, Guillaume Gautreau, Brice Targat, et al.. (2017). A computational approach for phenotypic comparisons of cell populations in high-dimensional cytometry data. Methods. 132. 66–75. 14 indexed citations

Pejoski, David, Nicolas Tchitchek, Jamila Elhmouzi‐Younes, et al.. (2016). Identification of Vaccine-Altered Circulating B Cell Phenotypes Using Mass Cytometry and a Two-Step Clustering Analysis. The Journal of Immunology. 196(11). 4814–4831. 18 indexed citations

Gautreau, Guillaume, David Pejoski, Roger Le Grand, et al.. (2016). SPADEVizR: an R package for visualization, analysis and integration of SPADE results. Bioinformatics. 33(5). 779–781. 30 indexed citations

Silva, Anabel, Adele M. Mount, David Pejoski, et al.. (2015). The Combination of ISCOMATRIX Adjuvant and TLR Agonists Induces Regression of Established Solid Tumors In Vivo. The Journal of Immunology. 194(5). 2199–2207. 26 indexed citations

10.

Chua, Brendon Y., David Pejoski, Stephen T. Turner, Weiguang Zeng, & David C. Jackson. (2011). Soluble Proteins Induce Strong CD8+ T Cell and Antibody Responses through Electrostatic Association with Simple Cationic or Anionic Lipopeptides That Target TLR2. The Journal of Immunology. 187(4). 1692–1701. 36 indexed citations

11.

Pejoski, David, Weiguang Zeng, Steven Rockman, Lorena E. Brown, & David C. Jackson. (2010). A lipopeptide based on the M2 and HA proteins of influenza A viruses induces protective antibody. Immunology and Cell Biology. 88(5). 605–611. 32 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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