Joan Gil
Impact in
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
- Physiology top 1%
Papers in
-
- Cell death mechanisms and regulation 23
- PI3K/AKT/mTOR signaling in cancer 10
- Metabolism, Diabetes, and Cancer 9
- Genetics 28
- Chronic Lymphocytic Leukemia Research 27
- Co-authors
- Beatríz Bellosillo (14 shared papers)Dolors Colomer (14 shared papers)Gabriel Pons (32 shared papers)Montserrat Barragán (13 shared papers)Antonio F. Santidrián (16 shared papers)José L. Garcı́a-Martı́nez (3 shared papers)Daniel Iglesias‐Serret (31 shared papers)Clara Campàs (10 shared papers)
- Journals
- Blood (9 papers)Leukemia (4 papers)Journal of Biological Chemistry (4 papers)APOPTOSIS (4 papers)Biochemical Journal (4 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Joan Gil
108 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 132
- Genetics 679
- Physiology 233
- Molecular Biology 2.9k
- Biotechnology 307
- Cancer Research 509
Countries citing papers authored by Joan Gil
This map shows the geographic impact of Joan Gil'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 Joan Gil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Gil more than expected).
Fields of papers citing papers by Joan Gil
This network shows the impact of papers produced by Joan Gil. 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 Joan Gil. The network helps show where Joan Gil may publish in the future.
Co-authors
The 25 scholars most cited alongside Joan Gil, 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 204 | |
| 2 | 1994 | 181 | |
| 3 | 2006 | 181 | |
| 4 | 2000 | 170 | |
| 5 | 1998 | 169 | |
| 6 | 2003 | 165 | |
| 7 | 2001 | 164 | |
| 8 | 1999 | 151 | |
| 9 | 1991 | 139 | |
| 10 | 1988 | 135 | |
| 11 | 2002 | 122 | |
| 12 | 2003 | 121 | |
| 13 | 2000 | 113 | |
| 14 | 2011 | 109 | |
| 15 | 2001 | 106 | |
| 16 | 2001 | 101 | |
| 17 | 2009 | 99 | |
| 18 | 2010 | 90 | |
| 19 | 2003 | 89 | |
| 20 | 2003 | 88 |
About Joan Gil
Joan Gil is a scholar working on Molecular Biology, Genetics, Oncology, Epidemiology and Immunology, having authored 110 papers that have together received 4.9k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (27 papers), Cell death mechanisms and regulation (23 papers), Cancer-related Molecular Pathways (14 papers), PI3K/AKT/mTOR signaling in cancer (10 papers), Autophagy in Disease and Therapy (10 papers), Metabolism, Diabetes, and Cancer (9 papers), Endoplasmic Reticulum Stress and Disease (6 papers) and Cancer, Hypoxia, and Metabolism (6 papers). The work is most often cited by research in Genetics (679 citations), Physiology (233 citations), Molecular Biology (2.9k citations), Biotechnology (307 citations) and Cancer Research (509 citations). Joan Gil has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Beatríz Bellosillo, Dolors Colomer, Gabriel Pons, Montserrat Barragán, Antonio F. Santidrián, José L. Garcı́a-Martı́nez, Daniel Iglesias‐Serret, Clara Campàs, Maria Piqué and Ramón Bartrons. Their work appears in journals such as Blood, Leukemia, Journal of Biological Chemistry, APOPTOSIS and Biochemical Journal.
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.