Shuran Wang

1.4k citations
57 papers · 1.0k · h-index 20

Impact in

Papers in

Shuran Wang

53 papers receiving 1.0k citations

Peers

Shuran Wang
Comparison fields: 5 of 125
  • Endocrine and Autonomic Systems 112
  • Complementary and Manual Therapy 18
  • Pharmaceutical Science 48
  • Physiology 167
  • Nutrition and Dietetics 91
Replace Ágnes Kemény with:
Ágnes Kemény Hungary
Tadashi Hashimoto Japan
Elena Lucarini Italy
Ewa Harasim‐Symbor Poland
Zheng Zhao China
Magdalena Bujalska‐Zadrożny Poland
G. Banchelli Italy
Rupinder Kaur Sodhi India
Marjan Talebi Iran
Muhammed Yayla Türkiye
Shuran Wang relative to Ágnes Kemény Hungary Ágnes Kemény's profile →
Citations per field
00.5×2.6×
Ágnes Kemény · 1×
Citations per year

Countries citing papers authored by Shuran Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shuran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011143
2 2012108
3 200572
4 202359
5 201052
6 201949
7 201643
8 201241
9 201341
10 201140
11 201037
12 201034
13 201433
14 201229
15 202026
16 201925
17 201423
18 202322
19 201720
20 201719

About Shuran Wang

Shuran Wang is a scholar working on Molecular Biology, Neurology, Physiology, Nutrition and Dietetics and Endocrine and Autonomic Systems, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cerebral Venous Sinus Thrombosis (8 papers), Adipose Tissue and Metabolism (4 papers), Regulation of Appetite and Obesity (4 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Bone health and osteoporosis research (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Cellular transport and secretion (2 papers) and Selenium in Biological Systems (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (112 citations), Complementary and Manual Therapy (18 citations), Pharmaceutical Science (48 citations), Physiology (167 citations) and Nutrition and Dietetics (91 citations). Shuran Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ze Li, Yongping Bao, Jie Li, Lizhen Hu, Na Zhang, Rui Li, Cong Li, Weiwei Ma, Canxia He and Qin Long. Their work appears in journals such as Journal of NeuroInterventional Surgery, American Journal of Clinical Nutrition, Journal of Agricultural and Food Chemistry, Animals and Optometry and Vision 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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