Mario Chamorro
Impact in
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Wnt/β-catenin signaling in development and cancer
- Developmental Biology and Gene Regulation
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
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- RNA and protein synthesis mechanisms 4
- Wnt/β-catenin signaling in development and cancer 4
- Protein Kinase Regulation and GTPase Signaling 2
- Gene expression and cancer classification 1
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- Breast Cancer Treatment Studies 1
- Co-authors
- HAROLD E. VARMUS (9 shared papers)Neil T. Parkin (2 shared papers)Kathleen R. Cho (1 shared paper)Donald R. Schwartz (1 shared paper)Ali H. Brivanlou (1 shared paper)Alin Vonica (1 shared paper)Shixia Huang (2 shared papers)Katrina Podsypanina (2 shared papers)
- Journals
- Molecular and Cellular Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)The EMBO Journal (2 papers)Genome biology (1 paper)BMC Immunology (1 paper)
- Partner nations
- United StatesMalaysiaSouth Korea
In The Last Decade
Mario Chamorro
11 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 927
- Oncology 304
- Virology 38
- Cancer Research 92
- Immunology 113
Countries citing papers authored by Mario Chamorro
This map shows the geographic impact of Mario Chamorro'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 Mario Chamorro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Chamorro more than expected).
Fields of papers citing papers by Mario Chamorro
This network shows the impact of papers produced by Mario Chamorro. 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 Mario Chamorro. The network helps show where Mario Chamorro may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Chamorro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 444 | |
| 2 | 2004 | 255 | |
| 3 | 2001 | 165 | |
| 4 | 1992 | 154 | |
| 5 | 1992 | 126 | |
| 6 | 1995 | 98 | |
| 7 | 1999 | 70 | |
| 8 | 1999 | 65 | |
| 9 | 2003 | 65 | |
| 10 | 2005 | 41 | |
| 11 | 2001 | 35 |
About Mario Chamorro
Mario Chamorro is a scholar working on Molecular Biology, Cancer Research, Rheumatology, Immunology and Oncology, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Gene expression and cancer classification (1 paper), Cancer Cells and Metastasis (1 paper), Rheumatoid Arthritis Research and Therapies (1 paper), T-cell and B-cell Immunology (1 paper) and Breast Cancer Treatment Studies (1 paper). The work is most often cited by research in Molecular Biology (927 citations), Oncology (304 citations), Virology (38 citations), Cancer Research (92 citations) and Immunology (113 citations). Mario Chamorro has collaborated with scholars based in United States, Malaysia and South Korea. Frequent co-authors include HAROLD E. VARMUS, Neil T. Parkin, Kathleen R. Cho, Donald R. Schwartz, Ali H. Brivanlou, Alin Vonica, Shixia Huang, Katrina Podsypanina, Yi Li and Jeffrey M. Rosen. Their work appears in journals such as Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, The EMBO Journal, Genome biology and BMC Immunology.
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.