Marcia Belvin
- Molecular Biology top 2%
- Immunology top 0.5%
- Oncology top 1%
- Insect Science top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Kathryn V. AndersonLori S. FriedmanDominique FerrandonVanessa GobertMarie GottarJules A. HoffmannJulien RoyetKlaus P. Hoeflich
- Topics
- PI3K/AKT/mTOR signaling in cancer (21 papers)Melanoma and MAPK Pathways (19 papers)Monoclonal and Polyclonal Antibodies Research (8 papers)
- Cited by
- ImmunologyInsect ScienceOncology
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Marcia Belvin
74 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 3.3k
- Immunology 2.8k
- Oncology 2.0k
- Insect Science 1.3k
- Cellular and Molecular Neuroscience 724
Countries citing papers authored by Marcia Belvin
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
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
| # | Work | Indexed 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.