Wanwan Sun

1.3k citations
54 papers · 836 · h-index 18

Impact in

Papers in

Wanwan Sun

47 papers receiving 823 citations

Peers

Wanwan Sun
Comparison fields: 5 of 112
  • Modeling and Simulation 100
  • Endocrinology, Diabetes and Metabolism 204
  • Nephrology 49
  • Infectious Diseases 107
  • Cardiology and Cardiovascular Medicine 131
Replace Changwei Tian with:
Changwei Tian China
George Hindy Sweden
Zhifang Wang China
Dan-Yu Lin United States
Massimo Torreggiani Italy
Xuezhong Shi China
Haiyan Guo China
Surujpal Teelucksingh Trinidad and Tobago
Jan Hoong Ho United Kingdom
Chinmay Jani United States
Wanwan Sun relative to Changwei Tian China Changwei Tian's profile →
Citations per field
00.5×4.2×
Changwei Tian · 1×
Citations per year

Countries citing papers authored by Wanwan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Wanwan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201563
2 202056
3 201553
4 202149
5 201645
6 202044
7 201544
8 201644
9 202040
10 201829
11 202228
12 201426
13 201926
14 201325
15 202123
16 201322
17 201519
18 201917
19 201916
20 202114

About Wanwan Sun

Wanwan Sun is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Infectious Diseases, Cardiology and Cardiovascular Medicine and Surgery, having authored 54 papers that have together received 836 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (9 papers), Viral Infections and Vectors (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), COVID-19 epidemiological studies (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Pituitary Gland Disorders and Treatments (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Modeling and Simulation (100 citations), Endocrinology, Diabetes and Metabolism (204 citations), Nephrology (49 citations), Infectious Diseases (107 citations) and Cardiology and Cardiovascular Medicine (131 citations). Wanwan Sun has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yufang Bi, Jieli Lu, Baihui Xu, Yu Xu, Min Xu, Weiqing Wang, Guang Ning, Tiange Wang, Jichao Sun and Enfu Chen. Their work appears in journals such as Frontiers in Public Health, Diabetes Research and Clinical Practice, Journal of Diabetes, The Journal of Clinical Endocrinology & Metabolism and Frontiers in Environmental Science.

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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