Joseph Espinal
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
-
- Diet, Metabolism, and Disease
Papers in
-
- Diabetes Management and Research 2
- Diet, Metabolism, and Disease 2
- Co-authors
- Philip J. Randle (4 shared papers)A L Kerbey (1 shared paper)Patricio Silva (1 shared paper)Brian D. Ross (1 shared paper)R. A. John Challiss (1 shared paper)Eric A. Newsholme (1 shared paper)Peter Hammonds (3 shared papers)Jennifer N. Clarke (2 shared papers)
- Journals
- FEBS Letters (4 papers)Methods in enzymology on CD-ROM/Methods in enzymology (2 papers)Trends in Biochemical Sciences (1 paper)Life Sciences (1 paper)Kidney International (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Joseph Espinal
12 papers receiving 478 citations
Peers
Comparison fields: 5 of 63
- Physiology 213
- Endocrinology, Diabetes and Metabolism 121
- Clinical Biochemistry 48
- Biochemistry 53
- Physiology 28
Countries citing papers authored by Joseph Espinal
This map shows the geographic impact of Joseph Espinal'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 Joseph Espinal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Espinal more than expected).
Fields of papers citing papers by Joseph Espinal
This network shows the impact of papers produced by Joseph Espinal. 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 Joseph Espinal. The network helps show where Joseph Espinal may publish in the future.
Co-authors
The 13 scholars most cited alongside Joseph Espinal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 207 | |
| 2 | 1986 | 78 | |
| 3 | 1983 | 72 | |
| 4 | 1990 | 57 | |
| 5 | 1995 | 19 | |
| 6 | 1990 | 14 | |
| 7 | 1988 | 13 | |
| 8 | 1987 | 13 | |
| 9 | 1988 | 12 | |
| 10 | 1993 | 10 | |
| 11 | 1990 | 6 | |
| 12 | 1988 | 3 |
About Joseph Espinal
Joseph Espinal is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Surgery and Genetics, having authored 12 papers that have together received 504 indexed citations. Recurring topics across this work include Diabetes and associated disorders (3 papers), Biochemical Acid Research Studies (3 papers), Pancreatic function and diabetes (3 papers), Diet and metabolism studies (3 papers), Diabetes Management and Research (2 papers), Muscle metabolism and nutrition (2 papers), Diet, Metabolism, and Disease (2 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Physiology (213 citations), Endocrinology, Diabetes and Metabolism (121 citations), Clinical Biochemistry (48 citations), Biochemistry (53 citations) and Physiology (28 citations). Joseph Espinal has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Philip J. Randle, A L Kerbey, Patricio Silva, Brian D. Ross, R. A. John Challiss, Eric A. Newsholme, Peter Hammonds, Jennifer N. Clarke, Guy Beresford and Robert J. Mertz. Their work appears in journals such as FEBS Letters, Methods in enzymology on CD-ROM/Methods in enzymology, Trends in Biochemical Sciences, Life Sciences and Kidney International.
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.