F de Pablo
Impact in
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- Growth Hormone and Insulin-like Growth Factors
Papers in
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- Metabolism, Diabetes, and Cancer 5
- Connexins and lens biology 3
- Congenital heart defects research 3
- Surgery 10
- Pancreatic function and diabetes 10
- Co-authors
- Catalina Hernández‐Sánchez (5 shared papers)Jorge Alemany (6 shared papers)Enrique J. de la Rosa (5 shared papers)Alicia Mansilla (2 shared papers)Jesse Roth (5 shared papers)Alan R. Shuldiner (3 shared papers)José Serrano (2 shared papers)Carlos A. Rodríguez-Alarcón (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Diabetes (2 papers)Journal of Biological Chemistry (2 papers)Diabetologia (2 papers)Endocrinology (1 paper)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
F de Pablo
23 papers receiving 751 citations
Peers
Comparison fields: 5 of 79
- Endocrinology, Diabetes and Metabolism 247
- Developmental Neuroscience 29
- Molecular Biology 474
- Sensory Systems 32
- Aging 10
Countries citing papers authored by F de Pablo
This map shows the geographic impact of F de Pablo'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 F de Pablo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F de Pablo more than expected).
Fields of papers citing papers by F de Pablo
This network shows the impact of papers produced by F de Pablo. 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 F de Pablo. The network helps show where F de Pablo may publish in the future.
Co-authors
The 25 scholars most cited alongside F de Pablo, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 93 | |
| 2 | 2008 | 74 | |
| 3 | 1991 | 67 | |
| 4 | 2003 | 55 | |
| 5 | 2006 | 49 | |
| 6 | 1989 | 48 | |
| 7 | 1989 | 47 | |
| 8 | 1991 | 47 | |
| 9 | 1990 | 43 | |
| 10 | 1994 | 40 | |
| 11 | 1986 | 36 | |
| 12 | 1991 | 28 | |
| 13 | 1985 | 27 | |
| 14 | 1985 | 26 | |
| 15 | 2005 | 23 | |
| 16 | 1998 | 18 | |
| 17 | 1992 | 15 | |
| 18 | 1988 | 14 | |
| 19 | 2020 | 8 | |
| 20 | 1994 | 6 |
About F de Pablo
F de Pablo is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Cell Biology and Genetics, having authored 24 papers that have together received 769 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Growth Hormone and Insulin-like Growth Factors (10 papers), Metabolism, Diabetes, and Cancer (5 papers), Connexins and lens biology (3 papers), Congenital heart defects research (3 papers), Animal Genetics and Reproduction (3 papers), Advanced Glycation End Products research (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (247 citations), Developmental Neuroscience (29 citations), Molecular Biology (474 citations), Sensory Systems (32 citations) and Aging (10 citations). F de Pablo has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Catalina Hernández‐Sánchez, Jorge Alemany, Enrique J. de la Rosa, Alicia Mansilla, Jesse Roth, Alan R. Shuldiner, José Serrano, Carlos A. Rodríguez-Alarcón, M. Marqués Girbau and Rafael Zardoya. Their work appears in journals such as Proceedings of the National Academy of Sciences, Diabetes, Journal of Biological Chemistry, Diabetologia and Endocrinology.
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.