Run Yu
Impact in
-
- Pituitary Gland Disorders and Treatments
- Neurology top 2%
- Neuroblastoma Research and Treatments
Papers in
-
- Pituitary Gland Disorders and Treatments 28
- Growth Hormone and Insulin-like Growth Factors 10
- Surgery 50
- Adrenal and Paraganglionic Tumors 27
- Pancreatic function and diabetes 16
- Co-authors
- Шломо Мелмед (20 shared papers)PingSun Leung (20 shared papers)Patricia M. Hinkle (8 shared papers)Nicholas N. Nissen (15 shared papers)Deepti Dhall (13 shared papers)Junning Cai (3 shared papers)Anthony P. Heaney (3 shared papers)Zhiyong Wang (1 shared paper)
- Journals
- Endocrine Practice (19 papers)Pancreas (9 papers)The Journal of Clinical Endocrinology & Metabolism (7 papers)Molecular Endocrinology (5 papers)Journal of Biological Chemistry (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Run Yu
153 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 162
- Endocrinology, Diabetes and Metabolism 1.1k
- Neurology 423
- Epidemiology 790
- Cancer Research 332
- Oncology 567
Countries citing papers authored by Run Yu
This map shows the geographic impact of Run Yu'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 Run Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Run Yu more than expected).
Fields of papers citing papers by Run Yu
This network shows the impact of papers produced by Run Yu. 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 Run Yu. The network helps show where Run Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Run Yu, 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 167 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 204 | |
| 2 | 2001 | 169 | |
| 3 | 2012 | 132 | |
| 4 | 2009 | 121 | |
| 5 | 2001 | 120 | |
| 6 | 2003 | 111 | |
| 7 | 2000 | 103 | |
| 8 | 1995 | 100 | |
| 9 | 2007 | 91 | |
| 10 | 2000 | 87 | |
| 11 | 2003 | 87 | |
| 12 | 2000 | 81 | |
| 13 | 2003 | 75 | |
| 14 | 2001 | 70 | |
| 15 | 2011 | 68 | |
| 16 | 2011 | 61 | |
| 17 | 2008 | 57 | |
| 18 | 2009 | 55 | |
| 19 | 2005 | 55 | |
| 20 | 2006 | 54 |
About Run Yu
Run Yu is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Oncology and Molecular Biology, having authored 167 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (36 papers), Pituitary Gland Disorders and Treatments (28 papers), Adrenal and Paraganglionic Tumors (27 papers), Neuroblastoma Research and Treatments (17 papers), Pancreatic function and diabetes (16 papers), Cancer, Hypoxia, and Metabolism (13 papers), Lung Cancer Research Studies (11 papers) and Growth Hormone and Insulin-like Growth Factors (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Neurology (423 citations), Epidemiology (790 citations), Cancer Research (332 citations) and Oncology (567 citations). Run Yu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Шломо Мелмед, PingSun Leung, Patricia M. Hinkle, Nicholas N. Nissen, Deepti Dhall, Junning Cai, Anthony P. Heaney, Zhiyong Wang, Song-Guang Ren and Cuiqi Zhou. Their work appears in journals such as Endocrine Practice, Pancreas, The Journal of Clinical Endocrinology & Metabolism, Molecular Endocrinology and Journal of Biological Chemistry.
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.