Mario Chamorro

1.9k citations
13 papers · 1.6k indexed · h-index 12
    • Wnt/β-catenin signaling in development and cancer 6
    • RNA and protein synthesis mechanisms 5
    • RNA Research and Splicing 4
    • RNA modifications and cancer 3
    • Fibroblast Growth Factor Research 2
    • Cancer-related gene regulation 2
  • Oncology top 10%
  • Virology top 10%
    • Galectins and Cancer Biology 3
    • Chronic Lymphocytic Leukemia Research 2

Mario Chamorro

13 papers receiving 1.5k citations

Peers

Mario Chamorro
Comparison fields: 5 of 92
  • Molecular Biology 1.2k
  • Oncology 411
  • Virology 61
  • Cancer Research 131
  • Immunology 161
Replace Philippe Jeanteur with:
Philippe Jeanteur France
T S Papas United States
Chun Jeih Ryu South Korea
Sabine Schirm United States
Robert F. Harvey United Kingdom
Mitsuru Okuwaki Japan
G H Enders United States
Sandra A. Jablonski United States
M. Salditt-Georgieff United States
Elisa Santolini Italy
Mario Chamorro relative to Philippe Jeanteur France Philippe Jeanteur's profile →
Citations per field
00.5×3.2×
Philippe Jeanteur · 1×
Citations per year

Countries citing papers authored by Mario Chamorro

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Mario Chamorro Line = papers co-authored together Mario Chamorro links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 200537
2 2004247
3 200363
4 2003428
5 2001155
6 200137
7 200110
8 199961
9 199971
10 199684
11 199594
12 1992146
13 1992119

About Mario Chamorro

Mario Chamorro is a scholar working on Virology, Immunology, Genetics, Molecular Biology and Immunology and Allergy, having authored 13 papers that have together received 1.6k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (6 papers), RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers), Galectins and Cancer Biology (3 papers), Fibroblast Growth Factor Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Oncology (411 citations), Virology (61 citations), Cancer Research (131 citations) and Immunology (161 citations). Mario Chamorro has collaborated with scholars based in United States, Malaysia and South Korea. Frequent co-authors include Harold Varmus, Neil Parkin, Donald R. Schwartz, Kathleen R. Cho, Ali H. Brivanlou, Alin Vonica, Yi Li, Katrina Podsypanina, Shixia Huang and Maripat Corr. Their work appears in journals such as The EMBO Journal, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Journal of Molecular Biology and Genome biology.

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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