Daniel Olive

26.0k total citations · 3 hit papers
441 papers, 19.1k citations indexed

About

Daniel Olive is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Daniel Olive has authored 441 papers receiving a total of 19.1k indexed citations (citations by other indexed papers that have themselves been cited), including 324 papers in Immunology, 146 papers in Oncology and 69 papers in Molecular Biology. Recurrent topics in Daniel Olive's work include Immune Cell Function and Interaction (235 papers), T-cell and B-cell Immunology (174 papers) and Immunotherapy and Immune Responses (121 papers). Daniel Olive is often cited by papers focused on Immune Cell Function and Interaction (235 papers), T-cell and B-cell Immunology (174 papers) and Immunotherapy and Immune Responses (121 papers). Daniel Olive collaborates with scholars based in France, United States and Italy. Daniel Olive's co-authors include Yves Collette, Régis Costello, Jacques A. Nunès, Claude Mawas, Alessandro Moretta, Béatrice Gaugler, Alemseged Truneh, Laurent Gorvel, Danielle Sainty and Sonia Pastor and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Daniel Olive

435 papers receiving 18.8k citations

Hit Papers

Regulatory T Cells Recrui... 2009 2026 2014 2020 2009 2011 2022 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Daniel Olive 13.2k 7.1k 3.6k 1.9k 1.4k 441 19.1k
Crystal L. Mackall 8.5k 0.6× 7.1k 1.0× 3.2k 0.9× 2.3k 1.2× 1.3k 0.9× 168 16.1k
Pamela L. Schwartzberg 11.2k 0.9× 3.7k 0.5× 4.9k 1.4× 1.3k 0.7× 1.2k 0.8× 153 17.7k
Maria Cristina Mingari 17.8k 1.4× 5.7k 0.8× 2.6k 0.7× 2.2k 1.2× 1.4k 1.0× 256 22.1k
Ronald E. Gress 12.5k 0.9× 6.5k 0.9× 3.3k 0.9× 4.5k 2.3× 2.6k 1.8× 259 20.5k
Martin Lipp 20.5k 1.6× 7.6k 1.1× 5.1k 1.4× 842 0.4× 2.2k 1.6× 190 27.2k
Chikao Morimoto 8.4k 0.6× 5.6k 0.8× 5.1k 1.4× 1.1k 0.6× 1.4k 1.0× 339 18.5k
James L. Riley 12.3k 0.9× 9.7k 1.4× 4.1k 1.1× 788 0.4× 1.4k 1.0× 149 18.8k
Jonathan Sprent 24.8k 1.9× 4.8k 0.7× 4.1k 1.1× 2.2k 1.1× 2.4k 1.6× 291 29.9k
Joseph H. Phillips 22.6k 1.7× 4.9k 0.7× 3.0k 0.8× 2.1k 1.1× 2.1k 1.5× 145 26.1k
Edgar G. Engleman 15.5k 1.2× 5.8k 0.8× 6.0k 1.6× 1.3k 0.7× 3.7k 2.6× 277 24.9k

Countries citing papers authored by Daniel Olive

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Olive

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Olive

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Olive. A scholar is included among the top collaborators of Daniel Olive 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 Daniel Olive. Daniel Olive 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.
Orlanducci, Florence, Amira Ben Amara, Laurent Gorvel, et al.. (2025). CD56neg CD16+ cells represent a distinct mature NK cell subset with altered phenotype and are associated with adverse clinical outcome upon expansion in AML. Frontiers in Immunology. 15. 1487792–1487792. 2 indexed citations
2.
Лалетин, В. М., P Bernard, Camille Montersino, et al.. (2024). DOK1 and DOK2 regulate CD8 T cell signaling and memory formation without affecting tumor cell killing. Scientific Reports. 14(1). 15053–15053. 1 indexed citations
3.
Gay, Laëtitia, Asma Boumaza, Aïssatou Bailo Diallo, et al.. (2024). Protective role of macrophages from maternal–fetal interface in unvaccinated coronavirus disease 2019 pregnant women. Journal of Medical Virology. 96(7). e29819–e29819. 1 indexed citations
4.
Imbert, Caroline, Nicolas Boucherit, Laurent Gorvel, et al.. (2024). Targeting BTN2A1 Enhances Vγ9Vδ2 T-Cell Effector Functions and Triggers Tumor Cell Pyroptosis. Cancer Immunology Research. 12(12). 1677–1690. 3 indexed citations
5.
Amodru, Vincent, Jean‐Marie Boher, Christophe Zemmour, et al.. (2023). Dysthyroidism during immune checkpoint inhibitors is associated with improved overall survival in adult cancers: data mining of 1385 electronic patient records. Journal for ImmunoTherapy of Cancer. 11(8). e006786–e006786. 4 indexed citations
6.
Amara, Amira Ben, Florence Orlanducci, Norbert Vey, et al.. (2023). Prognostic Immune Effector Signature in Adult Acute Lymphoblastic Leukemia Patients Is Dominated by γδ T Cells. Cells. 12(13). 1693–1693. 3 indexed citations
7.
Bernard, P, Rebecca B. Delconte, Sonia Pastor, et al.. (2022). Targeting CISH enhances natural cytotoxicity receptor signaling and reduces NK cell exhaustion to improve solid tumor immunity. Journal for ImmunoTherapy of Cancer. 10(5). e004244–e004244. 48 indexed citations
8.
Rochigneux, Philippe, Aaron Lisberg, Alejandro J. Garcia, et al.. (2022). Mass Cytometry Reveals Classical Monocytes, NK Cells, and ICOS+ CD4+ T Cells Associated with Pembrolizumab Efficacy in Patients with Lung Cancer. Clinical Cancer Research. 28(23). 5136–5148. 20 indexed citations
9.
Boumaza, Asma, Laëtitia Gay, Soraya Mezouar, et al.. (2021). Monocytes and Macrophages, Targets of Severe Acute Respiratory Syndrome Coronavirus 2: The Clue for Coronavirus Disease 2019 Immunoparalysis. The Journal of Infectious Diseases. 224(3). 395–406. 117 indexed citations
10.
Incorvaia, Lorena, Daniele Fanale, Giuseppe Badalamenti, et al.. (2020). Baseline plasma levels of soluble PD-1, PD-L1, and BTN3A1 predict response to nivolumab treatment in patients with metastatic renal cell carcinoma: a step toward a biomarker for therapeutic decisions. OncoImmunology. 9(1). 1832348–1832348. 55 indexed citations
11.
Heskamp, Sandra, Janneke D.M. Molkenboer‐Kuenen, Soley Thordardottir, et al.. (2018). PD-L1 microSPECT/CT Imaging for Longitudinal Monitoring of PD-L1 Expression in Syngeneic and Humanized Mouse Models for Cancer. Cancer Immunology Research. 7(1). 150–161. 30 indexed citations
12.
Spodzieja, Marta, Sławomir Lach, Justyna Iwaszkiewicz, et al.. (2017). Design of short peptides to block BTLA/HVEM interactions for promoting anticancer T-cell responses. PLoS ONE. 12(6). e0179201–e0179201. 27 indexed citations
13.
Pasero, Christine L., Gwénaëlle Gravis, Mathilde Guérin, et al.. (2016). Inherent and Tumor-Driven Immune Tolerance in the Prostate Microenvironment Impairs Natural Killer Cell Antitumor Activity. Cancer Research. 76(8). 2153–2165. 156 indexed citations
14.
Thibult, Marie‐Laure, Sonia Pastor, Françoise Gondois‐Rey, et al.. (2016). Follicular B Lymphomas Generate Regulatory T Cells via the ICOS/ICOSL Pathway and Are Susceptible to Treatment by Anti-ICOS/ICOSL Therapy. Cancer Research. 76(16). 4648–4660. 58 indexed citations
15.
Cantoni, Claudia, Leticía Huergo-Zapico, Monica Parodi, et al.. (2016). NK Cells, Tumor Cell Transition, and Tumor Progression in Solid Malignancies: New Hints for NK-Based Immunotherapy?. Journal of Immunology Research. 2016. 1–13. 70 indexed citations
16.
Harly, Christelle, Yves Claude Guillaume, Steven Nédellec, et al.. (2012). Key implication of CD277/butyrophilin-3 (BTN3A) in cellular stress sensing by a major human γδ T-cell subset. Blood. 120(11). 2269–2279. 417 indexed citations
17.
Faget, Julien, Nathalie Bendriss‐Vermare, Michael Gobert, et al.. (2012). ICOS-Ligand Expression on Plasmacytoid Dendritic Cells Supports Breast Cancer Progression by Promoting the Accumulation of Immunosuppressive CD4+ T Cells. Cancer Research. 72(23). 6130–6141. 159 indexed citations
18.
Fourcade, Julien, Zhaojun Sun, Ornella Pagliano, et al.. (2011). CD8+ T Cells Specific for Tumor Antigens Can Be Rendered Dysfunctional by the Tumor Microenvironment through Upregulation of the Inhibitory Receptors BTLA and PD-1. Cancer Research. 72(4). 887–896. 291 indexed citations
19.
Gobert, Michael, Isabelle Treilleux, Nathalie Bendriss‐Vermare, et al.. (2009). Regulatory T Cells Recruited through CCL22/CCR4 Are Selectively Activated in Lymphoid Infiltrates Surrounding Primary Breast Tumors and Lead to an Adverse Clinical Outcome. Cancer Research. 69(5). 2000–2009. 562 indexed citations breakdown →
20.
Cerdan, Chantal, Diane Razanajaona, Yvette N. Martin, et al.. (1992). Contributions of the CD2 and CD28 T lymphocyte activation pathways to the regulation of the expression of the colony-stimulating factor (CSF-1) gene. The Journal of Immunology. 149(2). 373–379. 15 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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