Mark Sklar
Impact in
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- Growth Hormone and Insulin-like Growth Factors
- Physiology top 10%
- Diet and metabolism studies
- Lysosomal Storage Disorders Research
Papers in
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- Growth Hormone and Insulin-like Growth Factors 9
- Diabetes Management and Research 1
- Surgery 4
- Pancreatic function and diabetes 4
- Co-authors
- S. Peter Nissley (7 shared papers)Cheryl L. Thomas (5 shared papers)Wieland Kieß (2 shared papers)Neal D. Barnard (2 shared papers)A Nicholson (1 shared paper)Peter Nissley (2 shared papers)G G Sahagian (2 shared papers)Matthew M. Rechler (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Biochemical and Biophysical Research Communications (1 paper)Pediatric Research (1 paper)Endocrinology (1 paper)European Journal of Endocrinology (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Mark Sklar
12 papers receiving 595 citations
Peers
Comparison fields: 5 of 68
- Endocrinology, Diabetes and Metabolism 322
- Physiology 165
- Cell Biology 95
- Physiology 20
- Cancer Research 49
Countries citing papers authored by Mark Sklar
This map shows the geographic impact of Mark Sklar'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 Mark Sklar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Sklar more than expected).
Fields of papers citing papers by Mark Sklar
This network shows the impact of papers produced by Mark Sklar. 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 Mark Sklar. The network helps show where Mark Sklar may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Sklar, 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 | 151 | |
| 2 | 1999 | 140 | |
| 3 | 1989 | 83 | |
| 4 | 1989 | 82 | |
| 5 | 1993 | 48 | |
| 6 | 1990 | 44 | |
| 7 | 1990 | 28 | |
| 8 | 1992 | 21 | |
| 9 | 2024 | 10 | |
| 10 | 1993 | 8 | |
| 11 | 2011 | 2 | |
| 12 | 1989 | 2 |
About Mark Sklar
Mark Sklar is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Physiology and Cell Biology, having authored 12 papers that have together received 619 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (9 papers), Pancreatic function and diabetes (4 papers), Lysosomal Storage Disorders Research (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Diabetes Management and Research (1 paper), Muscle metabolism and nutrition (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (322 citations), Physiology (165 citations), Cell Biology (95 citations), Physiology (20 citations) and Cancer Research (49 citations). Mark Sklar has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include S. Peter Nissley, Cheryl L. Thomas, Wieland Kieß, Neal D. Barnard, A Nicholson, Peter Nissley, G G Sahagian, Matthew M. Rechler, Lawrence A. Greenstein and Charles T. Roberts. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Pediatric Research, Endocrinology and European 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.