Gabrìel Padrón
Impact in
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Microbiology top 5%
Papers in
-
- RNA and protein synthesis mechanisms 6
- vaccines and immunoinformatics approaches 6
- Glycosylation and Glycoproteins Research 5
- Metabolomics and Mass Spectrometry Studies 5
- Spectroscopy 22
- Advanced Proteomics Techniques and Applications 21
- Mass Spectrometry Techniques and Applications 19
- Co-authors
- Vladimir Besada (33 shared papers)Luis Javier González (30 shared papers)Toshifumi Takao (13 shared papers)Lázaro Betancourt (21 shared papers)Glay Chinea (3 shared papers)Yasutsugu Shimonishi (9 shared papers)Jorge Fernández-de-Cossío (12 shared papers)Vivian Morera (10 shared papers)
In The Last Decade
Gabrìel Padrón
76 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 108
- Spectroscopy 379
- Microbiology 106
- Paleontology 129
- Biotechnology 119
- Molecular Biology 832
Countries citing papers authored by Gabrìel Padrón
This map shows the geographic impact of Gabrìel Padrón'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 Gabrìel Padrón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabrìel Padrón more than expected).
Fields of papers citing papers by Gabrìel Padrón
This network shows the impact of papers produced by Gabrìel Padrón. 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 Gabrìel Padrón. The network helps show where Gabrìel Padrón may publish in the future.
Co-authors
The 25 scholars most cited alongside Gabrìel Padrón, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 110 | |
| 2 | 1995 | 108 | |
| 3 | 1992 | 84 | |
| 4 | 1996 | 74 | |
| 5 | 1996 | 58 | |
| 6 | 2000 | 55 | |
| 7 | 1992 | 51 | |
| 8 | 1997 | 49 | |
| 9 | 2011 | 43 | |
| 10 | 1994 | 39 | |
| 11 | 2008 | 39 | |
| 12 | 1998 | 36 | |
| 13 | 2012 | 34 | |
| 14 | 2011 | 30 | |
| 15 | 2008 | 30 | |
| 16 | 2004 | 27 | |
| 17 | 1998 | 26 | |
| 18 | 2004 | 25 | |
| 19 | 2012 | 25 | |
| 20 | 2003 | 24 |
About Gabrìel Padrón
Gabrìel Padrón is a scholar working on Molecular Biology, Spectroscopy, Epidemiology, Immunology and Oncology, having authored 76 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (21 papers), Mass Spectrometry Techniques and Applications (19 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Research on Leishmaniasis Studies (6 papers), RNA and protein synthesis mechanisms (6 papers), vaccines and immunoinformatics approaches (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). The work is most often cited by research in Spectroscopy (379 citations), Microbiology (106 citations), Paleontology (129 citations), Biotechnology (119 citations) and Molecular Biology (832 citations). Gabrìel Padrón has collaborated with scholars based in Cuba, Brazil and Japan. Frequent co-authors include Vladimir Besada, Luis Javier González, Toshifumi Takao, Lázaro Betancourt, Glay Chinea, Yasutsugu Shimonishi, Jorge Fernández-de-Cossío, Vivian Morera, Gert Vriend and Chris Sander. Their work appears in journals such as Journal of Proteomics, Toxicon, Journal of Proteome Research, Rapid Communications in Mass Spectrometry and Electrophoresis.
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.