Fernando Escrivá
Impact in
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- Diet, Metabolism, and Disease
- Growth Hormone and Insulin-like Growth Factors
- Physiology top 5%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
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- Growth Hormone and Insulin-like Growth Factors 11
- Diet, Metabolism, and Disease 10
- Physiology 21
- Diet and metabolism studies 16
- Adipose Tissue and Metabolism 11
- Co-authors
- Carmen Álvarez (37 shared papers)María Ángeles Martín (20 shared papers)Elisa Fernández‐Millán (21 shared papers)Sonia Ramos (12 shared papers)Luis Goya (13 shared papers)A. M. Pascual-Leone (12 shared papers)Bernard Portha (6 shared papers)M. Lucía Gavete (4 shared papers)
In The Last Decade
Fernando Escrivá
48 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 85
- Endocrinology, Diabetes and Metabolism 283
- Physiology 369
- Clinical Biochemistry 96
- Endocrine and Autonomic Systems 78
- Aging 21
Countries citing papers authored by Fernando Escrivá
This map shows the geographic impact of Fernando Escrivá'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 Fernando Escrivá with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Escrivá more than expected).
Fields of papers citing papers by Fernando Escrivá
This network shows the impact of papers produced by Fernando Escrivá. 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 Fernando Escrivá. The network helps show where Fernando Escrivá may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Escrivá, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 113 | |
| 2 | 1997 | 63 | |
| 3 | 2015 | 60 | |
| 4 | 1992 | 56 | |
| 5 | 2015 | 50 | |
| 6 | 2016 | 50 | |
| 7 | 2020 | 49 | |
| 8 | 1983 | 47 | |
| 9 | 1991 | 44 | |
| 10 | 2007 | 40 | |
| 11 | 1985 | 40 | |
| 12 | 1986 | 30 | |
| 13 | 2001 | 27 | |
| 14 | 1999 | 27 | |
| 15 | 2005 | 26 | |
| 16 | 2001 | 23 | |
| 17 | 2004 | 21 | |
| 18 | 1997 | 21 | |
| 19 | 2020 | 20 | |
| 20 | 2020 | 20 |
About Fernando Escrivá
Fernando Escrivá is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology, Pediatrics, Perinatology and Child Health and Surgery, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Birth, Development, and Health (18 papers), Diet and metabolism studies (16 papers), Pancreatic function and diabetes (14 papers), Adipose Tissue and Metabolism (11 papers), Growth Hormone and Insulin-like Growth Factors (11 papers), Metabolism, Diabetes, and Cancer (10 papers), Diet, Metabolism, and Disease (10 papers) and Metabolism and Genetic Disorders (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (283 citations), Physiology (369 citations), Clinical Biochemistry (96 citations), Endocrine and Autonomic Systems (78 citations) and Aging (21 citations). Fernando Escrivá has collaborated with scholars based in Spain, France and Canada. Frequent co-authors include Carmen Álvarez, María Ángeles Martín, Elisa Fernández‐Millán, Sonia Ramos, Luis Goya, A. M. Pascual-Leone, Bernard Portha, M. Lucía Gavete, Pascal Ferré and Jean‐François Decaux. Their work appears in journals such as Endocrinology, American Journal of Physiology-Endocrinology and Metabolism, Diabetologia, Journal of Neurochemistry and Journal of 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.