Jacqueline Marvel

8.3k total citations · 2 hit papers
118 papers, 5.9k citations indexed

About

Jacqueline Marvel is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Jacqueline Marvel has authored 118 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Immunology, 43 papers in Molecular Biology and 14 papers in Oncology. Recurrent topics in Jacqueline Marvel's work include T-cell and B-cell Immunology (56 papers), Immune Cell Function and Interaction (54 papers) and Immunotherapy and Immune Responses (40 papers). Jacqueline Marvel is often cited by papers focused on T-cell and B-cell Immunology (56 papers), Immune Cell Function and Interaction (54 papers) and Immunotherapy and Immune Responses (40 papers). Jacqueline Marvel collaborates with scholars based in France, United Kingdom and United States. Jacqueline Marvel's co-authors include Thierry Walzer, Christophe Arpin, Yann Leverrier, Martine Tomkowiak, Antoine Marçais, Mary Collins, Olivier Gandrillon, Fabien Crauste, Maria Pihlgren and Sébastien Viel and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Jacqueline Marvel

117 papers receiving 5.9k citations

Hit Papers

TGF-β inhibits the activation and functions of NK cells b... 2016 2026 2019 2022 2016 2019 100 200 300 400

Peers

Jacqueline Marvel
Comparison fields: 5 of 144
  • Immunology 3.6k
  • Molecular Biology 1.8k
  • Oncology 1.1k
  • Epidemiology 439
  • Surgery 386
Replace Atsushi Muraguchi with:
Atsushi Muraguchi Japan
Ryo Abe Japan
Geert Raes Belgium
Jean‐Luc Teillaud France
Boquan Jin China
Sebastian Joyce United States
J. Dietl Germany
Drake LaFace United States
Bei Liu China
Gunnar Houen Denmark
Atsushi Muraguchi Japan View profile →
Citations per field, relative to Jacqueline Marvel
Jacqueline Marvel · 1×
Citations per year, relative to Jacqueline Marvel
Jacqueline Marvel · 1×

Countries citing papers authored by Jacqueline Marvel

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Marvel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Marvel

This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline Marvel. A scholar is included among the top collaborators of Jacqueline Marvel 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 Jacqueline Marvel. Jacqueline Marvel 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
# Work Indexed citations
1 2
2 1
3 2
4 131
5 11
6 1
7 30
8 13
9 17
10 58
11 22
12 13
13 439
14 156
15 19
16 29
17 48
18 24
19 35
20 39

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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