Jonathan M. Pitt

9.7k total citations · 4 hit papers
24 papers, 4.1k citations indexed

About

Jonathan M. Pitt is a scholar working on Oncology, Immunology and Infectious Diseases. According to data from OpenAlex, Jonathan M. Pitt has authored 24 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 14 papers in Immunology and 6 papers in Infectious Diseases. Recurrent topics in Jonathan M. Pitt's work include Cancer Immunotherapy and Biomarkers (9 papers), Immunotherapy and Immune Responses (8 papers) and Extracellular vesicles in disease (3 papers). Jonathan M. Pitt is often cited by papers focused on Cancer Immunotherapy and Biomarkers (9 papers), Immunotherapy and Immune Responses (8 papers) and Extracellular vesicles in disease (3 papers). Jonathan M. Pitt collaborates with scholars based in France, Sweden and United States. Jonathan M. Pitt's co-authors include Laurence Zitvogel, Guido Kroemer, Alexander Eggermont, Aurélien Marabelle, J.C. Soria, Romain Daillère, Fabrice André, Marie Vétizou, Ivo G. Boneca and Mathias Chamaillard and has published in prestigious journals such as Journal of Clinical Investigation, Nature reviews. Cancer and Immunity.

In The Last Decade

Jonathan M. Pitt

23 papers receiving 4.0k citations

Hit Papers

Targeting the tumor microenvironment: removing obstructio... 2016 2026 2019 2022 2016 2016 2016 2016 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 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.

  1. Targeting the tumor microenvironment: removing obstruction to anticancer immune responses and immunotherapy
    2016 976 citations Jonathan M. Pitt, Aurélien Marabelle et al. Annals of Oncology profile →
  2. Resistance Mechanisms to Immune-Checkpoint Blockade in Cancer: Tumor-Intrinsic and -Extrinsic Factors
    2016 790 citations Jonathan M. Pitt, Marie Vétizou et al. Immunity profile →
  3. Dendritic cell–derived exosomes for cancer therapy
    2016 507 citations Jonathan M. Pitt, Fabrice André et al. Journal of Clinical Investigation profile →
  4. Extracellular vesicles: masters of intercellular communication and potential clinical interventions
    2016 402 citations Jonathan M. Pitt, Guido Kroemer et al. Journal of Clinical Investigation profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan M. Pitt France 18 2.0k 1.8k 1.6k 971 514 24 4.1k
Nisha Nagarsheth United States 12 2.3k 1.1× 1.8k 1.0× 2.4k 1.5× 644 0.7× 594 1.2× 16 4.8k
Takuya Osada United States 42 2.7k 1.4× 2.1k 1.2× 2.0k 1.3× 1.1k 1.1× 417 0.8× 117 5.5k
Andrea Facciabene United States 25 1.4k 0.7× 2.0k 1.2× 2.0k 1.2× 562 0.6× 351 0.7× 57 3.8k
Bo Huang China 27 2.3k 1.1× 2.1k 1.2× 964 0.6× 1.5k 1.5× 284 0.6× 55 4.5k
Matteo Bellone Italy 36 1.8k 0.9× 2.6k 1.5× 1.6k 1.0× 604 0.6× 266 0.5× 110 4.6k
Mikael C. I. Karlsson Sweden 39 1.9k 1.0× 3.4k 1.9× 1.1k 0.7× 593 0.6× 276 0.5× 104 5.4k
Leticia Corrales United States 22 1.9k 1.0× 4.4k 2.5× 2.0k 1.2× 451 0.5× 414 0.8× 29 5.5k
William Damsky United States 32 1.9k 0.9× 1.4k 0.8× 1.6k 1.0× 335 0.3× 451 0.9× 122 4.7k
Benjamin G. Vincent United States 34 1.7k 0.8× 3.0k 1.7× 2.6k 1.6× 649 0.7× 748 1.5× 104 5.3k
Mary M. Tomayko United States 21 1.2k 0.6× 1.8k 1.0× 1.0k 0.7× 389 0.4× 282 0.5× 41 4.0k

Countries citing papers authored by Jonathan M. Pitt

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. Pitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan M. Pitt. 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 Jonathan M. Pitt. The network helps show where Jonathan M. Pitt may publish in the future.

Co-authorship network of co-authors of Jonathan M. Pitt

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan M. Pitt. A scholar is included among the top collaborators of Jonathan M. Pitt 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 Jonathan M. Pitt. Jonathan M. Pitt 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.
Pitt, Jonathan M., et al.. (2024). Measuring the communicative constitution of organization as network formation. PLoS ONE. 19(4). e0300399–e0300399.
2.
Pitt, Jonathan M., et al.. (2023). Measuring the competitive communicative constitution of insurgencies and their opponents. Dynamics of Asymmetric Conflict. 16(2). 71–96. 1 indexed citations
3.
Caldera, Freddy, et al.. (2021). Influenza vaccination in immunocompromised populations: Strategies to improve immunogenicity. Vaccine. 39. A15–A23. 20 indexed citations
4.
Fend, Laetitia, Takahiro Yamazaki, Murielle Gantzer, et al.. (2017). Immune Checkpoint Blockade, Immunogenic Chemotherapy or IFN-α Blockade Boost the Local and Abscopal Effects of Oncolytic Virotherapy. Cancer Research. 77(15). 4146–4157. 108 indexed citations
5.
Pitt, Jonathan M., Guido Kroemer, & Laurence Zitvogel. (2017). Immunogenic and Non-immunogenic Cell Death in the Tumor Microenvironment. Advances in experimental medicine and biology. 1036. 65–79. 72 indexed citations
6.
Pitt, Jonathan M., et al.. (2017). Efficacy and Tolerability of IncobotulinumtoxinA for Treating Glabellar Frown Lines in Korean Adults: A Postmarketing Observational Study. Dermatologic Surgery. 43(3). S304–S311. 4 indexed citations
7.
Jacquelot, Nicolas, Jonathan M. Pitt, David Enot, et al.. (2017). Immune biomarkers for prognosis and prediction of responses to immune checkpoint blockade in cutaneous melanoma. OncoImmunology. 6(8). e1299303–e1299303. 18 indexed citations
8.
Pitt, Jonathan M., Fabrice André, Sebastián Amigorena, et al.. (2016). Dendritic cell–derived exosomes for cancer therapy. Journal of Clinical Investigation. 126(4). 1224–1232. 507 indexed citations breakdown →
9.
Pitt, Jonathan M., Marie Vétizou, Romain Daillère, et al.. (2016). Resistance Mechanisms to Immune-Checkpoint Blockade in Cancer: Tumor-Intrinsic and -Extrinsic Factors. Immunity. 44(6). 1255–1269. 790 indexed citations breakdown →
10.
Pitt, Jonathan M., Simon Blankley, Krzysztof Potempa, et al.. (2016). Analysis of Transcriptional Signatures in Response to Listeria monocytogenes Infection Reveals Temporal Changes That Result from Type I Interferon Signaling. PLoS ONE. 11(2). e0150251–e0150251. 4 indexed citations
11.
Zitvogel, Laurence, Jonathan M. Pitt, Romain Daillère, Mark J. Smyth, & Guido Kroemer. (2016). Mouse models in oncoimmunology. Nature reviews. Cancer. 16(12). 759–773. 251 indexed citations
12.
Pitt, Jonathan M., Aurélien Marabelle, Alexander Eggermont, et al.. (2016). Targeting the tumor microenvironment: removing obstruction to anticancer immune responses and immunotherapy. Annals of Oncology. 27(8). 1482–1492. 976 indexed citations breakdown →
13.
Yamazaki, Takahiro, Jonathan M. Pitt, Marie Vétizou, et al.. (2016). The oncolytic peptide LTX-315 overcomes resistance of cancers to immunotherapy with CTLA4 checkpoint blockade. Cell Death and Differentiation. 23(6). 1004–1015. 66 indexed citations
14.
Pitt, Jonathan M., Guido Kroemer, & Laurence Zitvogel. (2016). Extracellular vesicles: masters of intercellular communication and potential clinical interventions. Journal of Clinical Investigation. 126(4). 1139–1143. 402 indexed citations breakdown →
15.
Pitt, Jonathan M., Marie Vétizou, Ivo G. Boneca, et al.. (2016). Enhancing the clinical coverage and anticancer efficacy of immune checkpoint blockade through manipulation of the gut microbiota. OncoImmunology. 6(1). e1132137–e1132137. 55 indexed citations
16.
Ma, Yuting, Heng Yang, Jonathan M. Pitt, Guido Kroemer, & Laurence Zitvogel. (2016). Therapy-induced microenvironmental changes in cancer. Journal of Molecular Medicine. 94(5). 497–508. 22 indexed citations
17.
Pitt, Jonathan M., Marie Vétizou, Nadine Waldschmitt, et al.. (2016). Fine-Tuning Cancer Immunotherapy: Optimizing the Gut Microbiome. Cancer Research. 76(16). 4602–4607. 87 indexed citations
18.
Pitt, Jonathan M., Mélinda Charrier, Sophie Viaud, et al.. (2014). Dendritic Cell–Derived Exosomes as Immunotherapies in the Fight against Cancer. The Journal of Immunology. 193(3). 1006–1011. 242 indexed citations
19.
Pitt, Jonathan M., Simon Blankley, Helen McShane, & Anne O’Garra. (2012). Vaccination against tuberculosis: How can we better BCG?. Microbial Pathogenesis. 58. 2–16. 57 indexed citations
20.
Redford, Paul S., André Boonstra, Simon Read, et al.. (2010). Enhanced protection to Mycobacterium tuberculosis infection in IL‐10‐deficient mice is accompanied by early and enhanced Th1 responses in the lung. European Journal of Immunology. 40(8). 2200–2210. 194 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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