Jonathan Derman

903 total citations · 1 hit paper
8 papers, 482 citations indexed

About

Jonathan Derman is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Jonathan Derman has authored 8 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Jonathan Derman's work include Cancer Genomics and Diagnostics (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Cancer therapeutics and mechanisms (1 paper). Jonathan Derman is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Cancer therapeutics and mechanisms (1 paper). Jonathan Derman collaborates with scholars based in France, Italy and United States. Jonathan Derman's co-authors include Cécile Charpy, Julien Caldéraro, Florent Petitprez, Giuliana Amaddeo, Wolf H. Fridman, Catherine Sautès‐Fridman, Alexis Laurent, Théo Z. Hirsch, Étienne Becht and Alain Luciani and has published in prestigious journals such as Clinical Cancer Research, Journal of Hepatology and Journal of Clinical Pathology.

In The Last Decade

Jonathan Derman

6 papers receiving 479 citations

Hit Papers

Intra-tumoral tertiary lymphoid structures are associated... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Derman France 6 300 206 128 82 69 8 482
Gerry Gin Wai Kwok China 7 343 1.1× 131 0.6× 109 0.9× 51 0.6× 60 0.9× 10 518
Audrey Hennequin France 11 410 1.4× 195 0.9× 154 1.2× 81 1.0× 102 1.5× 34 561
Jeffrey M. Lemons United States 5 408 1.4× 157 0.8× 211 1.6× 45 0.5× 79 1.1× 8 523
Qiyun Ou China 8 366 1.2× 137 0.7× 284 2.2× 150 1.8× 65 0.9× 24 544
Takashi Ichimura Japan 12 361 1.2× 76 0.4× 274 2.1× 108 1.3× 143 2.1× 52 579
Holly Kemberling United States 7 471 1.6× 99 0.5× 154 1.2× 118 1.4× 125 1.8× 9 567
Robert Orlowski United States 11 399 1.3× 108 0.5× 94 0.7× 75 0.9× 59 0.9× 35 673
Virginia Palomar Coloma France 4 421 1.4× 118 0.6× 190 1.5× 48 0.6× 65 0.9× 5 481
T. Macarulla Mercadé Spain 12 296 1.0× 57 0.3× 128 1.0× 68 0.8× 148 2.1× 60 459
Sho Tachino Japan 5 258 0.9× 112 0.5× 104 0.8× 49 0.6× 52 0.8× 6 410

Countries citing papers authored by Jonathan Derman

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Derman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Derman

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

All Works

8 of 8 papers shown
2.
Dadone‐Montaudié, Bérengère, Mathilde Sibony, Damien Ambrosetti, et al.. (2021). RBM10‐TFE3 fusions: A FISH‐concealed anomaly in adult renal cell carcinomas displaying a variety of morphological and genomic features: Comprehensive study of six novel cases. Genes Chromosomes and Cancer. 60(11). 772–784. 7 indexed citations
3.
Derman, Jonathan, et al.. (2021). Recul à 10 ans des patients opérés pour un cancer de prostate Gleason 6 (ISUP1). Progrès en Urologie. 32(2). 108–114.
4.
Meylan, Maxime, Florent Petitprez, Laetitia Lacroix, et al.. (2020). Early Hepatic Lesions Display Immature Tertiary Lymphoid Structures and Show Elevated Expression of Immune Inhibitory and Immunosuppressive Molecules. Clinical Cancer Research. 26(16). 4381–4389. 76 indexed citations
5.
Caldéraro, Julien, et al.. (2020). Detection of microsatellite instability in a panel of solid tumours with the Idylla MSI Test using extracted DNA. Journal of Clinical Pathology. 74(1). 36–42. 27 indexed citations
6.
Cohen, Justine V., Romain Pelletier, Jeanne Tran Van Nhieu, et al.. (2019). Evaluation of the Idylla system to detect the EGFR mutation using extracted DNA. Pathology - Research and Practice. 216(1). 152773–152773. 18 indexed citations
7.
Caldéraro, Julien, Florent Petitprez, Étienne Becht, et al.. (2018). Intra-tumoral tertiary lymphoid structures are associated with a low risk of early recurrence of hepatocellular carcinoma. Journal of Hepatology. 70(1). 58–65. 315 indexed citations breakdown →
8.
Emiliani, Esteban, Michele Talso, Jonathan Derman, et al.. (2018). The True Ablation Effect of Holmium YAG Laser on Soft Tissue. Journal of Endourology. 32(3). 230–235. 39 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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