Shumin Yang

3.8k citations
119 papers · 2.8k · 1 hit paper · h-index 31

Impact in

Papers in

Shumin Yang

112 papers receiving 2.8k citations

Shumin Yang's Hit Papers

Outcomes after medical treatment for primary aldosteronism: an international consensus and analysis of treatment response in an international cohort 2025 · 36 citations
360Years since publication102030

Peers

Shumin Yang
Comparison fields: 5 of 142
  • Endocrinology, Diabetes and Metabolism 926
  • Nephrology 163
  • Health, Toxicology and Mutagenesis 202
  • Infectious Diseases 258
  • Surgery 521
Replace Ying Gao with:
Ying Gao China
Guang Wang China
Sihe Wang United States
Shuangyuan Wang China
Eman Ali Toraih Egypt
Kazuko Nakagawa Japan
J S Woodhead United Kingdom
Shiro Jimi Japan
Weiwei Zhu China
Qiu Zhang China
Shumin Yang relative to Ying Gao China Ying Gao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Shumin Yang

Since Specialization
Citations

This map shows the geographic impact of Shumin 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 Shumin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shumin Yang more than expected).

Fields of papers citing papers by Shumin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shumin 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 Shumin Yang. The network helps show where Shumin Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Shumin Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shumin Yang Line = papers co-authored together Shumin Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015182
2 2020171
3 2017109
4 2017107
5 202289
6 202381
7 201779
8 202277
9 202375
10 202166
11 201461
12 202354
13 201950
14 201346
15 201645
16 201844
17 201344
18 201143
19 201741
20 201740

About Shumin Yang

Shumin Yang is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Health, Toxicology and Mutagenesis, Cardiology and Cardiovascular Medicine and Surgery, having authored 119 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (44 papers), Adrenal and Paraganglionic Tumors (7 papers), Chronic Kidney Disease and Diabetes (6 papers), Effects and risks of endocrine disrupting chemicals (6 papers), Tuberculosis Research and Epidemiology (5 papers), Adrenal Hormones and Disorders (5 papers), Gut microbiota and health (4 papers) and Inflammatory Biomarkers in Disease Prognosis (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (926 citations), Nephrology (163 citations), Health, Toxicology and Mutagenesis (202 citations), Infectious Diseases (258 citations) and Surgery (521 citations). Shumin Yang has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Qifu Li, Jinbo Hu, Ting Luo, Ying Song, Qingfeng Cheng, Zhihong Wang, Mei Mei, Qianna Zhen, Lulu Liu and Linqiang Ma. Their work appears in journals such as Frontiers in Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Hypertension, Journal of Hypertension 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.

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