Run Yu
Impact in
-
- Pituitary Gland Disorders and Treatments
- Thyroid Cancer Diagnosis and Treatment
- Epidemiology top 5%
- Neuroendocrine Tumor Research Advances
Papers in
-
- Pituitary Gland Disorders and Treatments 17
- Thyroid Disorders and Treatments 8
- Thyroid Cancer Diagnosis and Treatment 7
- Epidemiology 42
- Neuroendocrine Tumor Research Advances 41
- Co-authors
- Shlomo K. Melmed (22 shared papers)Patricia M. Hinkle (8 shared papers)Nicholas N. Nissen (18 shared papers)Deepti Dhall (14 shared papers)Anthony P. Heaney (3 shared papers)Zhiyong Wang (1 shared paper)Song-Guang Ren (5 shared papers)Cuiqi Zhou (3 shared papers)
- Journals
- Endocrine Practice (21 papers)Pancreas (15 papers)The Journal of Clinical Endocrinology & Metabolism (6 papers)Endocrinology (4 papers)Journal of Biological Chemistry (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Run Yu
141 papers receiving 3k citations
Peers
Comparison fields: 5 of 91
- Endocrinology, Diabetes and Metabolism 782
- Epidemiology 713
- Cell Biology 209
- Surgery 584
- Sensory Systems 60
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 154 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 170 | |
| 2 | 2012 | 136 | |
| 3 | 2009 | 128 | |
| 4 | 2001 | 121 | |
| 5 | 2003 | 112 | |
| 6 | 2000 | 100 | |
| 7 | 1995 | 98 | |
| 8 | 2000 | 93 | |
| 9 | 2007 | 91 | |
| 10 | 2003 | 84 | |
| 11 | 2000 | 81 | |
| 12 | 2003 | 75 | |
| 13 | 2011 | 71 | |
| 14 | 2001 | 70 | |
| 15 | 2011 | 67 | |
| 16 | 2008 | 58 | |
| 17 | 2009 | 57 | |
| 18 | 2006 | 53 | |
| 19 | 2016 | 52 | |
| 20 | 2008 | 49 |
About Run Yu
Run Yu is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Surgery, Cell Biology and Oncology, having authored 154 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (41 papers), Adrenal and Paraganglionic Tumors (30 papers), Pancreatic function and diabetes (19 papers), Pituitary Gland Disorders and Treatments (17 papers), Receptor Mechanisms and Signaling (8 papers), Thyroid Disorders and Treatments (8 papers), Thyroid Cancer Diagnosis and Treatment (7 papers) and Parathyroid Disorders and Treatments (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (782 citations), Epidemiology (713 citations), Cell Biology (209 citations), Surgery (584 citations) and Sensory Systems (60 citations). Run Yu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Shlomo K. Melmed, Patricia M. Hinkle, Nicholas N. Nissen, Deepti Dhall, Anthony P. Heaney, Zhiyong Wang, Song-Guang Ren, Cuiqi Zhou, Gregory A. Horwitz and Wenge Lu. Their work appears in journals such as Endocrine Practice, Pancreas, The Journal of Clinical Endocrinology & Metabolism, 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.