Stephan Kowalyk
-
- Pituitary Gland Disorders and Treatments 2
- Diabetes, Cardiovascular Risks, and Lipoproteins 1
-
- Neuropeptides and Animal Physiology 8
-
- Cardiovascular, Neuropeptides, and Oxidative Stress Research 6
-
- Receptor Mechanisms and Signaling 3
- Glycosylation and Glycoproteins Research 1
-
- Peptidase Inhibition and Analysis 2
-
- Diabetes and associated disorders 1
- Co-authors
- Byron J. HoogwerfGerald J. TaborskySteven E. KahnWilliam C. KnowlerMohammed SaadRobert G. NelsonDaniel PorteMichael W. Schwartz
- Cited by
- Endocrinology, Diabetes and MetabolismEndocrine and Autonomic SystemsCellular and Molecular Neuroscience
- Journals
- The Journal of Clinical Endocrinology & Metabolism (1 paper)Diabetes (1 paper)Endocrinology (1 paper)
- Partner nations
- United StatesSweden
In The Last Decade
Stephan Kowalyk
12 papers receiving 444 citations
Peers
Comparison fields: 5 of 53
- Endocrinology, Diabetes and Metabolism 173
- Endocrine and Autonomic Systems 49
- Cellular and Molecular Neuroscience 113
- Neurology 74
- Epidemiology 157
Countries citing papers authored by Stephan Kowalyk
This map shows the geographic impact of Stephan Kowalyk'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 Stephan Kowalyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Kowalyk more than expected).
Fields of papers citing papers by Stephan Kowalyk
This network shows the impact of papers produced by Stephan Kowalyk. 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 Stephan Kowalyk. The network helps show where Stephan Kowalyk may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephan Kowalyk, 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 | 2020 | 4 | |
| 2 | 2002 | 7 | |
| 3 | 1999 | 137 | |
| 4 | 1999 | 17 | |
| 5 | 1997 | 12 | |
| 6 | 1996 | 9 | |
| 7 | 1994 | 4 | |
| 8 | 1994 | 18 | |
| 9 | 1992 | 17 | |
| 10 | 1992 | 21 | |
| 11 | 1990 | 66 | |
| 12 | 1990 | 150 |
About Stephan Kowalyk
Stephan Kowalyk is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Surgery, having authored 12 papers that have together received 462 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (8 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (6 papers), Receptor Mechanisms and Signaling (3 papers), Pituitary Gland Disorders and Treatments (2 papers), Peptidase Inhibition and Analysis (2 papers), Glycosylation and Glycoproteins Research (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (173 citations), Endocrine and Autonomic Systems (49 citations) and Cellular and Molecular Neuroscience (113 citations). Stephan Kowalyk has collaborated with scholars based in United States and Sweden. Frequent co-authors include Byron J. Hoogwerf, Gerald J. Taborsky, Steven E. Kahn, William C. Knowler, Mohammed Saad, Robert G. Nelson, Daniel Porte, Michael W. Schwartz, Peter H. Bennett and David J. Pettitt. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and 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.