Run Yu

4.5k total citations
153 papers, 3.4k citations indexed

About

Run Yu is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology. According to data from OpenAlex, Run Yu has authored 153 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Endocrinology, Diabetes and Metabolism, 56 papers in Surgery and 39 papers in Epidemiology. Recurrent topics in Run Yu's work include Pituitary Gland Disorders and Treatments (42 papers), Neuroendocrine Tumor Research Advances (36 papers) and Adrenal and Paraganglionic Tumors (28 papers). Run Yu is often cited by papers focused on Pituitary Gland Disorders and Treatments (42 papers), Neuroendocrine Tumor Research Advances (36 papers) and Adrenal and Paraganglionic Tumors (28 papers). Run Yu collaborates with scholars based in United States, China and United Kingdom. Run Yu's 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 Jiandong Chen and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Run Yu

145 papers receiving 3.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Run Yu United States	33	1.2k	1.0k	814	685	658	153	3.4k
Anthony N. Hollenberg United States	50	2.5k 2.1×	2.9k 2.8×	834 1.0×	485 0.7×	362 0.6×	115	6.9k
Marc Abramowicz Belgium	37	767 0.7×	2.2k 2.1×	219 0.3×	528 0.8×	188 0.3×	174	4.5k
Raymond S. Yeung United States	45	85 0.1×	3.2k 3.1×	432 0.5×	727 1.1×	1.7k 2.6×	131	6.6k
Biplab Dasgupta United States	31	163 0.1×	1.9k 1.8×	998 1.2×	328 0.5×	479 0.7×	72	4.4k
Michael J. O’Hare United Kingdom	42	421 0.4×	3.4k 3.3×	180 0.2×	418 0.6×	1.8k 2.7×	102	6.2k
Fiona Murray United States	31	208 0.2×	1.8k 1.8×	145 0.2×	305 0.4×	302 0.5×	97	3.7k
Richard F. Lamb United Kingdom	22	93 0.1×	2.4k 2.4×	357 0.4×	315 0.5×	493 0.7×	38	3.6k
Hans Jansen Netherlands	42	2.4k 2.1×	1.7k 1.7×	727 0.9×	2.2k 3.3×	149 0.2×	197	7.0k
Guoliang Jiang China	30	96 0.1×	715 0.7×	352 0.4×	716 1.0×	810 1.2×	171	3.5k

Countries citing papers authored by Run Yu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Run Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Run Yu. A scholar is included among the top collaborators of Run Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Run Yu. Run Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ruhle, Brian, Na Eun Kim, Dipti P. Sajed, et al.. (2025). Genetic Testing Referral Rates for Pheochromocytoma and Paraganglioma in an Academic Tertiary Centre. Clinical Endocrinology. 103(2). 147–156.

Li, Ziwei, Run Yu, Qinwen Wang, et al.. (2023). The role of the gut-liver axis in modulating non-alcoholic fatty liver disease through dietary patterns and microecological agents. Food Bioscience. 56. 103335–103335. 5 indexed citations

Yu, Run, et al.. (2023). Artri King-induced Hypothalamic-pituitary-adrenal Axis Disruption: A Report of 3 Cases. JCEM Case Reports. 2(1). luad154–luad154. 3 indexed citations

Yu, Run. (2023). Sellar Mass in 2 Patients With Acute-Onset Headache and Visual Symptoms: Not Your Usual Pituitary Adenoma. AACE Clinical Case Reports. 9(6). 197–200. 1 indexed citations

Kim, Sarah, et al.. (2023). Abstract #1394296: The First Reported Case of Lorlatinib-Associated Diabetic Ketoacidosis. Endocrine Practice. 29(5). S4–S4. 1 indexed citations

Yu, Run. (2018). Falsely Elevated Levels of Pancreastatin, a Neuroendocrine Tumor Marker. 1(2). 1–2. 1 indexed citations

Zhu, Li, Laura H. Tang, Xinwei Qiao, et al.. (2016). Differences and Similarities in the Clinicopathological Features of Pancreatic Neuroendocrine Tumors in China and the United States. Medicine. 95(7). e2836–e2836. 49 indexed citations

Ghazi, Ali A., Ali Tabibi, Farzaneh Sarvghadi, et al.. (2014). Multiple endocrine neoplasia type 2A in an Iranian family: clinical and genetic studies.. PubMed. 17(5). 378–82. 12 indexed citations

Liu, Bei, Laura H. Tang, Zhaojun Liu, et al.. (2014). α-Internexin: A Novel Biomarker for Pancreatic Neuroendocrine Tumor Aggressiveness. The Journal of Clinical Endocrinology & Metabolism. 99(5). E786–E795. 26 indexed citations

10.

Wei, Meng, et al.. (2014). Insignificant Medium-Term Vitamin D Status Change after 25-Hydroxyvitamin D Testing in a Large Managed Care Population. PLoS ONE. 9(8). e105571–e105571. 7 indexed citations

11.

Yu, Run, PingSun Leung, Minling Pan, & Steven F. Railsback. (2012). Introduction of the agent based fishery management model of Hawaii's longline fisheries. Winter Simulation Conference. 369. 1 indexed citations

12.

Yu, Run, et al.. (2012). Small Pheochromocytomas: Significance, Diagnosis, and Outcome. Journal of Clinical Hypertension. 14(5). 307–315. 11 indexed citations

13.

Siegel, Robert J., Edward M. Wolin, Run Yu, et al.. (2010). Morphologic Features of Carcinoid Heart Disease as Assessed by Three‐Dimensional Transesophageal Echocardiography. Echocardiography. 27(9). 1098–1105. 4 indexed citations

14.

Yu, Run, et al.. (2009). Preoperative Preparation for Pheochromocytoma Resection: Physician Survey and Clinical Practice. Experimental and Clinical Endocrinology & Diabetes. 118(7). 400–404. 6 indexed citations

15.

Yu, Run, Junning Cai, & PingSun Leung. (2008). AN EXPLORATORY PERFORMANCE ASSESSMENT OF SHRIMP EXPORTERS FOR THE U.S. MARKET. Aquaculture Economics & Management. 12(4). 225–251. 2 indexed citations

16.

Chesnokova, Vera, Svetlana Zonis, Tamar Rubinek, et al.. (2007). Senescence Mediates Pituitary Hypoplasia and Restrains Pituitary Tumor Growth. Cancer Research. 67(21). 10564–10572. 81 indexed citations

17.

Li, Yong & Run Yu. (2006). A Numerical Study of Summer Precipitation in the Changjiang River and the Huaihe River Valleys Within Coming Half Century. Chinese Journal of Atmospheric Sciences. 1 indexed citations

18.

Stoika, Rostyslav, Run Yu, & Шломо Мелмед. (2002). Expression and function of pituitary tumour transforming gene for T‐lymphocyte activation. British Journal of Haematology. 119(4). 1070–1074. 12 indexed citations

19.

Yu, Run. (2000). Pituitary Tumor Transforming Gene (PTTG) Regulates Placental JEG-3 Cell Division and Survival: Evidence from Live Cell Imaging. Molecular Endocrinology. 14(8). 1137–1146. 27 indexed citations

20.

Yu, Run, Song-Guang Ren, Gregory A. Horwitz, Zhiyong Wang, & Шломо Мелмед. (2000). Pituitary Tumor Transforming Gene (PTTG) Regulates Placental JEG-3 Cell Division and Survival: Evidence from Live Cell Imaging. Molecular Endocrinology. 14(8). 1137–1146. 86 indexed citations

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.

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