Vera Schultz
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Adenosine and Purinergic Signaling
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- Diet, Metabolism, and Disease
Papers in ⓘ
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- Adipose Tissue and Metabolism 4
- Adenosine and Purinergic Signaling 3
- Biochemical effects in animals 2
- Co-authors
- Keith Tornheim (16 shared papers)John M. Lowenstein (2 shared papers)Barbara E. Corkey (8 shared papers)Per‐Olof Berggren (5 shared papers)Luigino Nascimben (1 shared paper)Beverly H. Lorell (1 shared paper)Joanne S. Ingwall (1 shared paper)Ilka Pinz (1 shared paper)
- Journals
- Journal of Biological Chemistry (7 papers)Biochemical Journal (3 papers)American Journal of Physiology-Endocrinology and Metabolism (2 papers)Diabetes (2 papers)Analytical Biochemistry (2 papers)
- Partner nations
- United StatesSwedenAustralia
In The Last Decade
Vera Schultz
22 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 88
- Physiology 104
- Endocrinology, Diabetes and Metabolism 232
- Clinical Biochemistry 75
- Physiology 250
- Surgery 423
Countries citing papers authored by Vera Schultz
This map shows the geographic impact of Vera Schultz'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 Vera Schultz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vera Schultz more than expected).
Fields of papers citing papers by Vera Schultz
This network shows the impact of papers produced by Vera Schultz. 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 Vera Schultz. The network helps show where Vera Schultz may publish in the future.
Co-authors
The 25 scholars most cited alongside Vera Schultz, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 182 | |
| 2 | 1978 | 105 | |
| 3 | 1996 | 100 | |
| 4 | 1976 | 99 | |
| 5 | 2009 | 69 | |
| 6 | 1995 | 67 | |
| 7 | 1996 | 53 | |
| 8 | 1993 | 50 | |
| 9 | 2000 | 47 | |
| 10 | 2007 | 38 | |
| 11 | 1988 | 29 | |
| 12 | 1991 | 29 | |
| 13 | 2001 | 27 | |
| 14 | 1990 | 25 | |
| 15 | 2015 | 24 | |
| 16 | 1994 | 24 | |
| 17 | 1988 | 22 | |
| 18 | 2003 | 19 | |
| 19 | 2007 | 17 | |
| 20 | 1990 | 16 |
About Vera Schultz
Vera Schultz is a scholar working on Physiology, Clinical Biochemistry, Physiology, Geriatrics and Gerontology and Surgery, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (11 papers), Metabolism, Diabetes, and Cancer (6 papers), Diet, Metabolism, and Disease (4 papers), Adipose Tissue and Metabolism (4 papers), Adenosine and Purinergic Signaling (3 papers), Biochemical and Molecular Research (3 papers), Diabetes and associated disorders (2 papers) and Biochemical effects in animals (2 papers). The work is most often cited by research in Physiology (104 citations), Endocrinology, Diabetes and Metabolism (232 citations), Clinical Biochemistry (75 citations), Physiology (250 citations) and Surgery (423 citations). Vera Schultz has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Keith Tornheim, John M. Lowenstein, Barbara E. Corkey, Per‐Olof Berggren, Luigino Nascimben, Beverly H. Lorell, Joanne S. Ingwall, Ilka Pinz, Rong Tian and Jude T. Deeney. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, American Journal of Physiology-Endocrinology and Metabolism, Diabetes and Analytical Biochemistry.
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.