Shuping Wang

907 total citations
40 papers, 628 citations indexed

About

Shuping Wang is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Shuping Wang has authored 40 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Surgery. Recurrent topics in Shuping Wang's work include Hormonal Regulation and Hypertension (5 papers), Gallbladder and Bile Duct Disorders (5 papers) and Renin-Angiotensin System Studies (5 papers). Shuping Wang is often cited by papers focused on Hormonal Regulation and Hypertension (5 papers), Gallbladder and Bile Duct Disorders (5 papers) and Renin-Angiotensin System Studies (5 papers). Shuping Wang collaborates with scholars based in China, United States and Japan. Shuping Wang's co-authors include Nirupama Ramkumar, Donald E. Kohan, Deborah Stuart, Hou‐Wen Lin, Atsuhiro Ichihara, Weidong Zhang, James D. Stockand, Runhui Liu, Tiantian Wang and Elena Mironova and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Organic Chemistry.

In The Last Decade

Shuping Wang

39 papers receiving 625 citations

Peers

Shuping Wang
Comparison fields: 5 of 96
  • Molecular Biology 234
  • Pharmacology 152
  • Cardiology and Cardiovascular Medicine 139
  • Surgery 137
  • Endocrinology, Diabetes and Metabolism 126
Replace Ayumu Yoshikawa with:
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Honit Piplani United States
Dustan A. Barber United States
Dawei Huang China
Haruo Ohnishi Japan
Jianlu Song China
May Abu‐Taha Jordan
Robert B. Wallis United Kingdom
Ayumu Yoshikawa Japan View profile →
Citations per field, relative to Shuping Wang
Shuping Wang · 1×
Citations per year, relative to Shuping Wang
Shuping Wang · 1×

Countries citing papers authored by Shuping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shuping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuping Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuping Wang. A scholar is included among the top collaborators of Shuping Wang 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 Shuping Wang. Shuping Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 1
3 1
4 5
5 4
6 14
7 31
8 15
9 25
10 51
11 14
12 16
13 2
14 23
15 0
16 11
17 2
18
Qualitative and Quantitative Analysis of Alkaloids in Cortex Phellodendri by HPLC-ESI-MS/MS and HPLC-DAD
22
19 38
20 15

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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