Marcia Belvin

12.7k citations
74 papers · 6.9k indexed · 5 hit papers · h-index 37
Topics
PI3K/AKT/mTOR signaling in cancer (21 papers)Melanoma and MAPK Pathways (19 papers)Monoclonal and Polyclonal Antibodies Research (8 papers)

In The Last Decade

Marcia Belvin

74 papers receiving 6.7k citations

Hit Papers

A CONSERVED SIGNALING PATHWAY: The Drosophila Toll-Dorsal...199620262006201619962002201620062001200400600

Peers

Marcia Belvin
Comparison fields: 5 of 118
  • Molecular Biology 3.3k
  • Immunology 2.8k
  • Oncology 2.0k
  • Insect Science 1.3k
  • Cellular and Molecular Neuroscience 724
Replace Y. Tony Ip with:
Y. Tony Ip United States
Pascal Meier United Kingdom
Nicholas F. Totty United Kingdom
Michael Gilman United States
Jacques Camonis France
Mark Hochstrasser United States
Andreas Bergmann United States
Vineeta Agarwala United States
Matthias Gstaiger Switzerland
Erika A Bach United States
Marcia Belvin relative to Y. Tony Ip United States Y. Tony Ip's profile →
Citations per field
00.5×2.7×
Y. Tony Ip · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 35
2 19
3
MAP Kinase Inhibition Promotes T Cell and Anti-tumor Activity in Combination with PD-L1 Checkpoint Blockadebreakdown →
527
4 73
5 150
6 65
7 155
8 6
9 26
10 200
11 94
12 17
13 385
14 144
15 104
16
Dual Detection of Fungal Infections in Drosophila via Recognition of Glucans and Sensing of Virulence Factorsbreakdown →
357
17 126
18 16
19 336
20 20

About Marcia Belvin

Marcia Belvin is a scholar working on Oncology, Molecular Biology and Immunology, having authored 74 papers that have together received 6.9k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (21 papers), Melanoma and MAPK Pathways (19 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). The work is most often cited by research in Immunology (2.8k citations), Insect Science (1.3k citations) and Oncology (2.0k citations). Marcia Belvin has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Kathryn V. Anderson, Lori S. Friedman, Dominique Ferrandon, Vanessa Gobert, Marie Gottar, Jules A. Hoffmann, Julien Royet, Klaus P. Hoeflich, Geoffrey M. Duyk and Jean‐Marc Reichhart. Their work appears in journals such as Nature, Science and Cell.

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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