Gabriel Pons
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
- Biochemistry top 2%
- Biochemical Acid Research Studies
Papers in
-
- Cell death mechanisms and regulation 10
- PI3K/AKT/mTOR signaling in cancer 5
- Ubiquitin and proteasome pathways 4
- RNA Research and Splicing 4
- Genetics 13
- Chronic Lymphocytic Leukemia Research 13
- Co-authors
- Joan Gil (32 shared papers)Beatríz Bellosillo (6 shared papers)Montserrat Barragán (8 shared papers)Dolors Colomer (5 shared papers)Daniel Iglesias‐Serret (25 shared papers)Mulchand S. Patel (4 shared papers)Maria Piqué (6 shared papers)Ana M. Cosialls (24 shared papers)
- Journals
- Blood (6 papers)Biochemical and Biophysical Research Communications (4 papers)Archives of Biochemistry and Biophysics (3 papers)APOPTOSIS (3 papers)FEBS Letters (3 papers)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Gabriel Pons
60 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 101
- Genetics 388
- Biochemistry 248
- Clinical Biochemistry 145
- Molecular Biology 1.2k
- Cancer Research 228
Countries citing papers authored by Gabriel Pons
This map shows the geographic impact of Gabriel Pons'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 Gabriel Pons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Pons more than expected).
Fields of papers citing papers by Gabriel Pons
This network shows the impact of papers produced by Gabriel Pons. 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 Gabriel Pons. The network helps show where Gabriel Pons may publish in the future.
Co-authors
The 25 scholars most cited alongside Gabriel Pons, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 180 | |
| 2 | 1998 | 169 | |
| 3 | 1999 | 151 | |
| 4 | 1989 | 131 | |
| 5 | 2002 | 122 | |
| 6 | 2000 | 113 | |
| 7 | 1999 | 91 | |
| 8 | 2010 | 89 | |
| 9 | 1988 | 79 | |
| 10 | 1998 | 77 | |
| 11 | 2006 | 66 | |
| 12 | 2003 | 60 | |
| 13 | 2017 | 54 | |
| 14 | 1992 | 51 | |
| 15 | 2006 | 45 | |
| 16 | 1981 | 38 | |
| 17 | 2014 | 36 | |
| 18 | 2008 | 34 | |
| 19 | 2009 | 30 | |
| 20 | 2015 | 29 |
About Gabriel Pons
Gabriel Pons is a scholar working on Molecular Biology, Genetics, Cell Biology, Immunology and Oncology, having authored 60 papers that have together received 2.1k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (13 papers), Cell death mechanisms and regulation (10 papers), Muscle metabolism and nutrition (5 papers), interferon and immune responses (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Metabolism and Genetic Disorders (5 papers), Ubiquitin and proteasome pathways (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Genetics (388 citations), Biochemistry (248 citations), Clinical Biochemistry (145 citations), Molecular Biology (1.2k citations) and Cancer Research (228 citations). Gabriel Pons has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Joan Gil, Beatríz Bellosillo, Montserrat Barragán, Dolors Colomer, Daniel Iglesias‐Serret, Mulchand S. Patel, Maria Piqué, Ana M. Cosialls, Clara Campàs and Josep Carreras. Their work appears in journals such as Blood, Biochemical and Biophysical Research Communications, Archives of Biochemistry and Biophysics, APOPTOSIS and FEBS Letters.
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.