Hélène Kaplon

3.3k total citations · 6 hit papers
21 papers, 2.5k citations indexed

About

Hélène Kaplon is a scholar working on Oncology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hélène Kaplon has authored 21 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 14 papers in Immunology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hélène Kaplon's work include Monoclonal and Polyclonal Antibodies Research (9 papers), Cancer Immunotherapy and Biomarkers (8 papers) and CAR-T cell therapy research (7 papers). Hélène Kaplon is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (9 papers), Cancer Immunotherapy and Biomarkers (8 papers) and CAR-T cell therapy research (7 papers). Hélène Kaplon collaborates with scholars based in France, United States and United Kingdom. Hélène Kaplon's co-authors include Janice M. Reichert, Silvia Crescioli, Alicia M. Chenoweth, Marie‐Caroline Dieu‐Nosjean, Claire Germain, Nicolás A. Giraldo, Catherine Sautès‐Fridman, Wolf H. Fridman, Zita Schneider and Jyothsna Visweswaraiah and has published in prestigious journals such as SHILAP Revista de lepidopterología, Immunological Reviews and Frontiers in Immunology.

In The Last Decade

Hélène Kaplon

19 papers receiving 2.4k citations

Hit Papers

Antibodies to watch in 2019 2018 2026 2020 2023 2018 2019 2022 2021 2022 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
Hélène Kaplon France 13 1.1k 1.1k 1.0k 958 188 21 2.5k
Fubin Li China 19 729 0.6× 743 0.7× 1.4k 1.4× 2.1k 2.2× 124 0.7× 42 3.0k
Randall J. Brezski United States 23 769 0.7× 963 0.9× 551 0.5× 917 1.0× 139 0.7× 32 2.0k
Kyu Hong United States 14 2.5k 2.2× 2.2k 2.0× 724 0.7× 1.2k 1.3× 111 0.6× 33 3.7k
Rishi Surana United States 15 1.3k 1.2× 634 0.6× 1.8k 1.8× 858 0.9× 409 2.2× 24 3.4k
Leopoldo Luistro United States 15 777 0.7× 281 0.3× 1.0k 1.0× 1.1k 1.2× 183 1.0× 28 2.2k
Beloo Mirakhur United States 15 771 0.7× 453 0.4× 848 0.8× 488 0.5× 200 1.1× 50 2.1k
An Song United States 20 1.1k 1.0× 684 0.6× 381 0.4× 610 0.6× 104 0.6× 39 1.8k
Gopi Shankar United States 21 971 0.9× 1.3k 1.2× 446 0.4× 1.7k 1.8× 127 0.7× 38 2.6k
Yvonne M. Saenger United States 26 500 0.4× 289 0.3× 1.3k 1.3× 921 1.0× 273 1.5× 82 2.2k
Silvia Crescioli United Kingdom 17 625 0.6× 625 0.6× 464 0.5× 450 0.5× 75 0.4× 33 1.3k

Countries citing papers authored by Hélène Kaplon

Since Specialization
Citations

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

Fields of papers citing papers by Hélène Kaplon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hélène Kaplon

This figure shows the co-authorship network connecting the top 25 collaborators of Hélène Kaplon. A scholar is included among the top collaborators of Hélène Kaplon 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 Hélène Kaplon. Hélène Kaplon 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.
Crescioli, Silvia, et al.. (2026). Antibodies to watch in 2026. mAbs. 18(1). 2614669–2614669.
2.
Varthaman, Aditi, Trine Lindsted, Franziska Uhlenbrock, et al.. (2025). Abstract B029: Forging strong bidirectional preclinical and translational research for optimized drug development of Sym023 (S095018), a novel anti-TIM3 antibody. Cancer Immunology Research. 13(2_Supplement). B029–B029.
3.
Devi-Marulkar, Priyanka, Hélène Kaplon, Marie‐Caroline Dieu‐Nosjean, & Myriam Lawand. (2024). Method Development for Sorting Immune Cell Populations Within Tertiary Lymphoid Structures. Methods in molecular biology. 2864. 247–262. 1 indexed citations
4.
Crescioli, Silvia, et al.. (2024). Antibodies to watch in 2024. mAbs. 16(1). 2297450–2297450. 100 indexed citations breakdown →
5.
Crescioli, Silvia, et al.. (2024). Antibodies to watch in 2025. mAbs. 17(1). 2443538–2443538. 40 indexed citations
6.
Devi-Marulkar, Priyanka, Solène Fastenackels, Jérémy Goc, et al.. (2022). Regulatory T cells infiltrate the tumor-induced tertiary lymphoïd structures and are associated with poor clinical outcome in NSCLC. Communications Biology. 5(1). 1416–1416. 52 indexed citations
7.
Kaplon, Hélène, Alicia M. Chenoweth, Silvia Crescioli, & Janice M. Reichert. (2022). Antibodies to watch in 2022. mAbs. 14(1). 2014296–2014296. 258 indexed citations breakdown →
8.
Kaplon, Hélène, Silvia Crescioli, Alicia M. Chenoweth, Jyothsna Visweswaraiah, & Janice M. Reichert. (2022). Antibodies to watch in 2023. mAbs. 15(1). 2153410–2153410. 193 indexed citations breakdown →
10.
Kaplon, Hélène, et al.. (2021). Applications of transcriptomics in support of drug development for osteoarthritis. SHILAP Revista de lepidopterología. 3(4). 100221–100221. 1 indexed citations
11.
Germain, Claire, Priyanka Devi-Marulkar, Samantha Knockaert, et al.. (2021). Tertiary Lymphoid Structure-B Cells Narrow Regulatory T Cells Impact in Lung Cancer Patients. Frontiers in Immunology. 12. 626776–626776. 58 indexed citations
12.
Kaplon, Hélène & Janice M. Reichert. (2021). Antibodies to watch in 2021. mAbs. 13(1). 1860476–1860476. 225 indexed citations breakdown →
13.
Tan, Tze Heng, Andreas Spitzmüller, Tobias Wiestler, et al.. (2019). Automated image analysis of NSCLC biopsies to predict response to anti-PD-L1 therapy. Journal for ImmunoTherapy of Cancer. 7(1). 121–121. 77 indexed citations
14.
Kaplon, Hélène, et al.. (2019). Antibodies to watch in 2020. mAbs. 12(1). 1703531–1703531. 347 indexed citations breakdown →
15.
Couillault, Coline, Claire Germain, Bertrand Dubois, & Hélène Kaplon. (2018). Identification of Tertiary Lymphoid Structure-Associated Follicular Helper T Cells in Human Tumors and Tissues. Methods in molecular biology. 1845. 205–222. 10 indexed citations
16.
Devi-Marulkar, Priyanka, Hélène Kaplon, Marie‐Caroline Dieu‐Nosjean, & Myriam Lawand. (2018). Designed Methods for the Sorting of Tertiary Lymphoid Structure-Immune Cell Populations. Methods in molecular biology. 1845. 189–204. 2 indexed citations
17.
Kaplon, Hélène & Marie‐Caroline Dieu‐Nosjean. (2018). Quel avenir pour les lymphocytes B infiltrant les tumeurs solides. médecine/sciences. 34(1). 72–78. 2 indexed citations
18.
Kaplon, Hélène & Janice M. Reichert. (2018). Antibodies to watch in 2019. mAbs. 11(2). 219–238. 357 indexed citations breakdown →
19.
Kaplon, Hélène & Janice M. Reichert. (2018). Antibodies to watch in 2018. mAbs. 10(2). 183–203. 206 indexed citations
20.
Sautès‐Fridman, Catherine, Myriam Lawand, Nicolás A. Giraldo, et al.. (2016). Tertiary Lymphoid Structures in Cancers: Prognostic Value, Regulation, and Manipulation for Therapeutic Intervention. Frontiers in Immunology. 7. 407–407. 278 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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