Shen Qu
Impact in
-
- Thyroid Cancer Diagnosis and Treatment
- Diet, Metabolism, and Disease
- Biological Psychiatry top 1%
Papers in
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- Metabolism, Diabetes, and Cancer 28
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- Thyroid Cancer Diagnosis and Treatment 23
- Co-authors
- Nadia Sahir (1 shared paper)Bernhard Lüscher (1 shared paper)Aaron M. Gusdon (10 shared papers)H. Henry Dong (14 shared papers)Chunjun Sheng (31 shared papers)Xingchun Wang (37 shared papers)Germán Perdomo (7 shared papers)Hang Sun (15 shared papers)
- Journals
- Obesity Surgery (16 papers)Lipids in Health and Disease (15 papers)Frontiers in Endocrinology (13 papers)Diabetes (5 papers)Journal of Diabetes (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Shen Qu
294 papers receiving 7.0k citations
Shen Qu's Hit Papers
Peers
Comparison fields: 5 of 173
- Endocrinology, Diabetes and Metabolism 2.0k
- Biological Psychiatry 279
- Behavioral Neuroscience 184
- Physiology 1.3k
- Nephrology 347
Countries citing papers authored by Shen Qu
This map shows the geographic impact of Shen Qu'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 Shen Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shen Qu more than expected).
Fields of papers citing papers by Shen Qu
This network shows the impact of papers produced by Shen Qu. 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 Shen Qu. The network helps show where Shen Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shen Qu, 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 312 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The GABAergic deficit hypothesis of major depressive disorder Hit paper breakdown → | 2010 | 659 |
| 2 | 2014 | 239 | |
| 3 | 2008 | 222 | |
| 4 | 2010 | 174 | |
| 5 | 2017 | 167 | |
| 6 | 2014 | 156 | |
| 7 | 2009 | 153 | |
| 8 | 2014 | 138 | |
| 9 | 2006 | 136 | |
| 10 | 2015 | 108 | |
| 11 | 2015 | 108 | |
| 12 | 2011 | 107 | |
| 13 | 2016 | 107 | |
| 14 | 2006 | 102 | |
| 15 | 2022 | 95 | |
| 16 | 2017 | 95 | |
| 17 | 2006 | 94 | |
| 18 | 2017 | 88 | |
| 19 | 2013 | 80 | |
| 20 | 2021 | 78 |
About Shen Qu
Shen Qu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology and Physiology, having authored 312 papers that have together received 7.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (34 papers), Metabolism, Diabetes, and Cancer (28 papers), Bariatric Surgery and Outcomes (28 papers), Thyroid Cancer Diagnosis and Treatment (23 papers), Gout, Hyperuricemia, Uric Acid (22 papers), Pancreatic function and diabetes (19 papers), Diet and metabolism studies (17 papers) and Adipokines, Inflammation, and Metabolic Diseases (16 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.0k citations), Biological Psychiatry (279 citations), Behavioral Neuroscience (184 citations), Physiology (1.3k citations) and Nephrology (347 citations). Shen Qu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Nadia Sahir, Bernhard Lüscher, Aaron M. Gusdon, H. Henry Dong, Chunjun Sheng, Xingchun Wang, Germán Perdomo, Hang Sun, Dongming Su and Le Bu. Their work appears in journals such as Obesity Surgery, Lipids in Health and Disease, Frontiers in Endocrinology, Diabetes and Journal of Diabetes.
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.