M. Shefi
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diet, Metabolism, and Disease
- Physiology top 5%
- Diet and metabolism studies
- Adipose Tissue and Metabolism
Papers in
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- Birth, Development, and Health 3
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- Diet and metabolism studies 2
- Co-authors
- Shlomo Almog (6 shared papers)Hillel Halkin (4 shared papers)Michaela Modan (3 shared papers)Ayala Lusky (3 shared papers)Aliza Eshkol (2 shared papers)Z Fuchs (2 shared papers)Alina Shitrit (1 shared paper)David Ezra (1 shared paper)
In The Last Decade
M. Shefi
9 papers receiving 1.5k citations
M. Shefi's Hit Papers
Peers
Comparison fields: 5 of 90
- Endocrinology, Diabetes and Metabolism 636
- Physiology 507
- Cardiology and Cardiovascular Medicine 359
- Endocrine and Autonomic Systems 93
- Nephrology 63
Countries citing papers authored by M. Shefi
This map shows the geographic impact of M. Shefi'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 M. Shefi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Shefi more than expected).
Fields of papers citing papers by M. Shefi
This network shows the impact of papers produced by M. Shefi. 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 M. Shefi. The network helps show where M. Shefi may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Shefi, 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 | Hyperinsulinemia. A link between hypertension obesity and glucose intolerance. Hit paper breakdown → | 1985 | 1242 |
| 2 | 1995 | 145 | |
| 3 | 2000 | 42 | |
| 4 | 1995 | 39 | |
| 5 | 1988 | 31 | |
| 6 | Hyperinsulinemia--a link between glucose intolerance, obesity, hypertension, dyslipoproteinemia, elevated serum uric acid and internal cation imbalance. | 1987 | 28 |
| 7 | 1988 | 9 | |
| 8 | 2010 | 5 | |
| 9 | Serum theophylline concentrations are not affected by coadministration of doxycycline. | 1986 | 2 |
About M. Shefi
M. Shefi is a scholar working on Pediatrics, Perinatology and Child Health, Physiology, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics, having authored 9 papers that have together received 1.5k indexed citations. Recurring topics across this work include Birth, Development, and Health (3 papers), Diet, Metabolism, and Disease (2 papers), Diet and metabolism studies (2 papers), Vitamin K Research Studies (1 paper), Magnesium in Health and Disease (1 paper), Protein Interaction Studies and Fluorescence Analysis (1 paper), Cassava research and cyanide (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (636 citations), Physiology (507 citations), Cardiology and Cardiovascular Medicine (359 citations), Endocrine and Autonomic Systems (93 citations) and Nephrology (63 citations). M. Shefi has collaborated with scholars based in Israel and Czechia. Frequent co-authors include Shlomo Almog, Hillel Halkin, Michaela Modan, Ayala Lusky, Aliza Eshkol, Z Fuchs, Alina Shitrit, David Ezra, Zvi Vered and T. Rosenthal. Their work appears in journals such as Metabolism, Hypertension, Chemistry and Physics of Lipids, Gynecologic and Obstetric Investigation and Journal of Clinical Investigation.
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.