Xiaoping Shen

981 citations
22 papers · 845 · h-index 12

Impact in

Papers in

Xiaoping Shen

20 papers receiving 837 citations

Peers

Xiaoping Shen
Comparison fields: 5 of 85
  • Clinical Biochemistry 370
  • Endocrinology, Diabetes and Metabolism 137
  • Immunology 119
  • Nephrology 37
  • Neurology 36
Replace Hong Du with:
Hong Du China
Sammy W.M. Shiu Hong Kong
Michiyo Kaneko United States
Seok Man Son South Korea
Hu Xu China
Elyse Di Marco Australia
Felicia Y. T. Yap Australia
Kazuo Fujisawa Japan
Masashi Mukohda Japan
J Makowski United States
Xiaoping Shen relative to Hong Du China Hong Du's profile →
Citations per field
00.5×2.8×
Hong Du · 1×
Citations per year

Countries citing papers authored by Xiaoping Shen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008318
2 2010104
3 201077
4 201558
5 201357
6 201151
7 201839
8 201734
9 201230
10 202015
11 201812
12 199411
13 201310
14 201810
15 20119
16 20203
17 20203
18 20211
19
Testosterone and estradiol serum levels in acne.
19891
20 20111

About Xiaoping Shen

Xiaoping Shen is a scholar working on Clinical Biochemistry, Surgery, Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 845 indexed citations. Recurring topics across this work include Advanced Glycation End Products research (7 papers), Cholesterol and Lipid Metabolism (2 papers), Alcohol Consumption and Health Effects (2 papers), Acupuncture Treatment Research Studies (1 paper), S100 Proteins and Annexins (1 paper), Hepatitis B Virus Studies (1 paper), Obstructive Sleep Apnea Research (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). The work is most often cited by research in Clinical Biochemistry (370 citations), Endocrinology, Diabetes and Metabolism (137 citations), Immunology (119 citations), Nephrology (37 citations) and Neurology (36 citations). Xiaoping Shen has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Rosa Rosario, Ann Marie Schmidt, Shi Fang Yan, Yan Lü, Ravichandran Ramasamy, De-xiu Bu, Kellie McCormick Hallam, Evis Harja, Evanthia Lalla and Barry I. Hudson. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Journal of Clinical Oncology, Circulation Research, The FASEB Journal and International Journal of Molecular Sciences.

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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