R. Bergoc
Impact in
- Immunology top 5%
- Mast cells and histamine
- Molecular Biology top 10%
- Polyamine Metabolism and Applications
- Receptor Mechanisms and Signaling
Papers in
-
- Polyamine Metabolism and Applications 24
- Receptor Mechanisms and Signaling 12
- Metabolism, Diabetes, and Cancer 8
- Immunology 33
- Mast cells and histamine 31
- Co-authors
- G. Cricco (47 shared papers)Elena Rivera (42 shared papers)G. Martín (38 shared papers)Vanina A. Medina (27 shared papers)Carlos Davio (18 shared papers)Máximo Croci (26 shared papers)Claudia Cocca (14 shared papers)Carlos P. Fitzsimons (11 shared papers)
In The Last Decade
R. Bergoc
74 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 112
- Immunology 665
- Molecular Biology 918
- Cancer Research 170
- Toxicology 37
- Biochemistry 66
Countries citing papers authored by R. Bergoc
This map shows the geographic impact of R. Bergoc'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 R. Bergoc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Bergoc more than expected).
Fields of papers citing papers by R. Bergoc
This network shows the impact of papers produced by R. Bergoc. 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 R. Bergoc. The network helps show where R. Bergoc may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Bergoc, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 127 | |
| 2 | 2008 | 86 | |
| 3 | 1995 | 80 | |
| 4 | 2001 | 80 | |
| 5 | 2000 | 72 | |
| 6 | 2006 | 66 | |
| 7 | 1994 | 57 | |
| 8 | 2013 | 56 | |
| 9 | 2009 | 48 | |
| 10 | 1994 | 46 | |
| 11 | 2008 | 41 | |
| 12 | 2013 | 40 | |
| 13 | 2001 | 38 | |
| 14 | 2005 | 38 | |
| 15 | 2002 | 37 | |
| 16 | 2013 | 35 | |
| 17 | 2012 | 33 | |
| 18 | 1995 | 33 | |
| 19 | 2013 | 32 | |
| 20 | 2010 | 30 |
About R. Bergoc
R. Bergoc is a scholar working on Molecular Biology, Immunology, Genetics, Oncology and Endocrinology, Diabetes and Metabolism, having authored 74 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mast cells and histamine (31 papers), Polyamine Metabolism and Applications (24 papers), Estrogen and related hormone effects (14 papers), Receptor Mechanisms and Signaling (12 papers), Metabolism, Diabetes, and Cancer (8 papers), Growth Hormone and Insulin-like Growth Factors (8 papers), Cancer, Stress, Anesthesia, and Immune Response (6 papers) and Amino Acid Enzymes and Metabolism (6 papers). The work is most often cited by research in Immunology (665 citations), Molecular Biology (918 citations), Cancer Research (170 citations), Toxicology (37 citations) and Biochemistry (66 citations). R. Bergoc has collaborated with scholars based in Argentina, Hungary and Spain. Frequent co-authors include G. Cricco, Elena Rivera, G. Martín, Vanina A. Medina, Carlos Davio, Máximo Croci, Claudia Cocca, Carlos P. Fitzsimons, Nora A. Mohamad and Mariel Núñez. Their work appears in journals such as Inflammation Research, Cancer Letters, International Journal of Radiation Biology, Cancer Biology & Therapy and Journal of Radiation Research.
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.