Shao-Nian Yang
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep
Papers in
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- Receptor Mechanisms and Signaling 8
- Ion channel regulation and function 4
- Metabolism, Diabetes, and Cancer 2
- Surgery 12
- Pancreatic function and diabetes 11
- Co-authors
- Robert S. Zucker (1 shared paper)Kjell Fuxé (10 shared papers)Per‐Olof Berggren (11 shared papers)Luigi F. Agnati (6 shared papers)José Ángel Narváez (4 shared papers)Peter B. Hedlund (4 shared papers)Detlev Ganten (3 shared papers)Börje Bjelke (2 shared papers)
In The Last Decade
Shao-Nian Yang
29 papers receiving 816 citations
Peers
Comparison fields: 5 of 72
- Cellular and Molecular Neuroscience 519
- Endocrine and Autonomic Systems 105
- Cognitive Neuroscience 217
- Neurology 70
- Molecular Biology 372
Countries citing papers authored by Shao-Nian Yang
This map shows the geographic impact of Shao-Nian Yang'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 Shao-Nian Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shao-Nian Yang more than expected).
Fields of papers citing papers by Shao-Nian Yang
This network shows the impact of papers produced by Shao-Nian Yang. 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 Shao-Nian Yang. The network helps show where Shao-Nian Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shao-Nian Yang, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 407 | |
| 2 | 1997 | 39 | |
| 3 | 1993 | 35 | |
| 4 | 2019 | 31 | |
| 5 | 1994 | 27 | |
| 6 | 2005 | 27 | |
| 7 | 2015 | 27 | |
| 8 | 1994 | 25 | |
| 9 | 1996 | 22 | |
| 10 | 2018 | 20 | |
| 11 | 1994 | 17 | |
| 12 | 2016 | 15 | |
| 13 | 1995 | 15 | |
| 14 | 1995 | 14 | |
| 15 | 2019 | 13 | |
| 16 | 1997 | 12 | |
| 17 | 2019 | 12 | |
| 18 | 2019 | 11 | |
| 19 | 2011 | 11 | |
| 20 | 2023 | 9 |
About Shao-Nian Yang
Shao-Nian Yang is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 29 papers that have together received 830 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (11 papers), Neuropeptides and Animal Physiology (10 papers), Receptor Mechanisms and Signaling (8 papers), Neuroscience of respiration and sleep (8 papers), Ion channel regulation and function (4 papers), Diabetes Management and Research (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (519 citations), Endocrine and Autonomic Systems (105 citations), Cognitive Neuroscience (217 citations), Neurology (70 citations) and Molecular Biology (372 citations). Shao-Nian Yang has collaborated with scholars based in Sweden, China and Italy. Frequent co-authors include Robert S. Zucker, Kjell Fuxé, Per‐Olof Berggren, Luigi F. Agnati, José Ángel Narváez, Peter B. Hedlund, Detlev Ganten, Börje Bjelke, A. Cintra and Anna Jansson. Their work appears in journals such as Neuroscience, Brain Research, International Journal of Biological Sciences, European Journal of Pharmacology and Proceedings of the National Academy of Sciences.
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.