Marcia Belvin

266 total papers · 12.6k total citations
74 papers, 6.8k citations indexed

About

Marcia Belvin is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Marcia Belvin has authored 74 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 27 papers in Oncology and 15 papers in Immunology. Recurrent topics in Marcia Belvin's work include PI3K/AKT/mTOR signaling in cancer (21 papers), Melanoma and MAPK Pathways (19 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Marcia Belvin is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (21 papers), Melanoma and MAPK Pathways (19 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Marcia Belvin collaborates with scholars based in United States, France and United Kingdom. Marcia Belvin's co-authors include Kathryn V. Anderson, Lori S. Friedman, Marie Gottar, Vanessa Gobert, Dominique Ferrandon, Jules A. Hoffmann, Julien Royet, Klaus P. Hoeflich, Geoffrey M. Duyk and Jean‐Marc Reichhart and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Marcia Belvin

74 papers receiving 6.6k citations

Hit Papers

A CONSERVED SIGNALING PAT... 1996 2026 2006 2016 1996 2002 2016 2006 2001 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Marcia Belvin 3.3k 2.8k 2.0k 1.3k 721 74 6.8k
Pascal Meier 5.7k 1.7× 2.6k 0.9× 1.1k 0.6× 504 0.4× 438 0.6× 80 7.9k
Bernard Mathey-Prévôt 2.2k 0.7× 1.7k 0.6× 752 0.4× 735 0.6× 571 0.8× 65 4.2k
Y. Tony Ip 4.9k 1.5× 3.0k 1.1× 731 0.4× 1.4k 1.1× 1.6k 2.2× 81 8.3k
John Abrams 5.5k 1.7× 1.7k 0.6× 970 0.5× 427 0.3× 1.1k 1.5× 79 7.4k
Douglas A. Harrison 3.1k 0.9× 1.3k 0.5× 1.0k 0.5× 465 0.4× 545 0.8× 55 5.2k
Ruth H. Palmer 3.1k 0.9× 707 0.3× 1.3k 0.7× 203 0.2× 622 0.9× 120 5.3k
Cornelis P. Tensen 1.8k 0.6× 2.5k 0.9× 1.6k 0.8× 164 0.1× 1.1k 1.5× 130 6.9k
Nicholas F. Totty 7.9k 2.4× 1.8k 0.6× 2.0k 1.0× 197 0.2× 803 1.1× 66 11.3k
Richard Breathnach 9.2k 2.8× 2.4k 0.8× 2.5k 1.3× 130 0.1× 574 0.8× 81 14.2k
Michael Gilman 6.6k 2.0× 1.6k 0.6× 2.0k 1.0× 170 0.1× 681 0.9× 68 9.1k

Countries citing papers authored by Marcia Belvin

Since Specialization
Citations

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

Fields of papers citing papers by Marcia Belvin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcia Belvin

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

All Works

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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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