Sílvia Coma
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Cell Adhesion Molecules Research 4
- Oncology 8
- Co-authors
- Michael Klagsbrun (6 shared papers)Akio Shimizu (3 shared papers)Carlos J. Ciudad (5 shared papers)Verónique Noé (5 shared papers)Hironao Nakayama (2 shared papers)Jonathan A. Pachter (9 shared papers)Tomoshige Akino (2 shared papers)Akiko Mammoto (2 shared papers)
- Journals
- Angiogenesis (2 papers)Cell Reports Medicine (2 papers)Molecular Cancer Therapeutics (2 papers)Blood (2 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesSpainItaly
In The Last Decade
Sílvia Coma
32 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 84
- Biological Psychiatry 98
- Oncology 366
- Immunology 267
- Cancer Research 142
- Molecular Biology 650
Countries citing papers authored by Sílvia Coma
This map shows the geographic impact of Sílvia Coma'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 Sílvia Coma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sílvia Coma more than expected).
Fields of papers citing papers by Sílvia Coma
This network shows the impact of papers produced by Sílvia Coma. 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 Sílvia Coma. The network helps show where Sílvia Coma may publish in the future.
Co-authors
The 25 scholars most cited alongside Sílvia Coma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 279 | |
| 2 | 2022 | 108 | |
| 3 | 2014 | 101 | |
| 4 | 2013 | 91 | |
| 5 | 2012 | 88 | |
| 6 | 2010 | 71 | |
| 7 | 2021 | 63 | |
| 8 | 2004 | 59 | |
| 9 | 2016 | 56 | |
| 10 | 2011 | 51 | |
| 11 | 2015 | 48 | |
| 12 | 2013 | 44 | |
| 13 | 2009 | 35 | |
| 14 | 2022 | 33 | |
| 15 | 2021 | 31 | |
| 16 | 2005 | 26 | |
| 17 | 2025 | 23 | |
| 18 | 2024 | 21 | |
| 19 | 2024 | 21 | |
| 20 | 2024 | 20 |
About Sílvia Coma
Sílvia Coma is a scholar working on Immunology and Allergy, Oncology, Molecular Biology, Cell Biology and Cancer Research, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (4 papers), Cell Adhesion Molecules Research (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Immune cells in cancer (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Immune Cell Function and Interaction (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Biological Psychiatry (98 citations), Oncology (366 citations), Immunology (267 citations), Cancer Research (142 citations) and Molecular Biology (650 citations). Sílvia Coma has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Michael Klagsbrun, Akio Shimizu, Carlos J. Ciudad, Verónique Noé, Hironao Nakayama, Jonathan A. Pachter, Tomoshige Akino, Akiko Mammoto, Arin K. Greene and Elisa Boscolo. Their work appears in journals such as Angiogenesis, Cell Reports Medicine, Molecular Cancer Therapeutics, Blood and Scientific Reports.
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.