Shengli Yan

1.7k citations
36 papers · 1.4k indexed · h-index 18

Impact in

  • Nephrology top 2%
    • Gout, Hyperuricemia, Uric Acid
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

Shengli Yan

35 papers receiving 1.3k citations

Peers

Shengli Yan
Comparison fields: 5 of 91
  • Nephrology 299
  • Genetics 258
  • Endocrinology, Diabetes and Metabolism 367
  • Health, Toxicology and Mutagenesis 158
  • Surgery 400
Replace Yi-An Ko with:
Yi-An Ko United States
Seong Hee Ahn South Korea
Tzu‐Hsien Tsai Taiwan
René van Oerle Netherlands
Seong Yeon Kim South Korea
G. Weryha France
Xiangyang Zhu United States
Fabio Sangalli Italy
Moo Il Kang South Korea
Shengli Yan relative to Yi-An Ko United States Yi-An Ko's profile →
Citations per field
00.5×4.0×
Yi-An Ko · 1×
Citations per year

Countries citing papers authored by Shengli Yan

Since Specialization
Citations

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

Fields of papers citing papers by Shengli Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shengli Yan, 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 Shengli Yan Line = papers co-authored together Shengli Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20188
2 20181
3 201720
4 201674
5 201593
6 201587
7 20155
8 201520
9 201516
10 201554
11 20140
12 201433
13 20143
14 2014138
15 201330
16 201211
17 20091
18
Dietary and lifestyle changes associated with high prevalence of hyperuricemia and gout in the Shandong coastal cities of Eastern China.
2008208
19
Coexistence of Aldose Reductase Gene and Endothelial Nitric Oxide Synthase Polymorphisms Associates with Diabetic Nephropathy
20075
20
Epidemic Characteristics of Gout and Primary Hyperuricemia in Shandong Coastal Area: A Randomized Stratified Cluster Sampling Survey
20071

About Shengli Yan

Shengli Yan is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Genetics, Molecular Biology and Sensory Systems, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (10 papers), Metabolism, Diabetes, and Cancer (8 papers), Pancreatic function and diabetes (7 papers), Gout, Hyperuricemia, Uric Acid (6 papers), Congenital heart defects research (5 papers), Diabetes Management and Research (5 papers), Mesenchymal stem cell research (4 papers) and Diabetes Treatment and Management (4 papers). The work is most often cited by research in Nephrology (299 citations), Genetics (258 citations), Endocrinology, Diabetes and Metabolism (367 citations), Health, Toxicology and Mutagenesis (158 citations) and Surgery (400 citations). Shengli Yan has collaborated with scholars based in China, Germany and Philippines. Frequent co-authors include Yangang Wang, Jianxia Hu, Wenjuan Zhao, Shihua Zhao, Donghua Xu, Changgui Li, Fang Wang, Zhongchao Wang, Bin Wang and Ruixia Sun. Their work appears in journals such as Molecular Neurobiology, European Journal of Endocrinology, Oncotarget, Clinica Chimica Acta and Journal of Cellular Biochemistry.

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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