Shenglan Tan

654 citations
31 papers · 466 · h-index 13

Impact in

Papers in

Shenglan Tan

27 papers receiving 460 citations

Peers

Shenglan Tan
Comparison fields: 5 of 94
  • Complementary and alternative medicine 67
  • Geriatrics and Gerontology 24
  • Pharmacology 53
  • Molecular Medicine 26
  • Cancer Research 55
Replace Haisheng You with:
Haisheng You China
Astrid E. van der Velde Netherlands
Ghada Ajabnoor Saudi Arabia
Ruijuan Liu China
Wenhao Liao China
Alessia Bignucolo Italy
Tae Won Choi South Korea
Geneviève Ubeaud-Séquier France
Sheng‐Wen Wu Taiwan
Shourong Liu China
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Citations per field
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Citations per year

Countries citing papers authored by Shenglan Tan

Since Specialization
Citations

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

Fields of papers citing papers by Shenglan Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201854
2 201751
3 202047
4 201841
5 201136
6 201228
7 202024
8 201819
9 201318
10 202016
11 201615
12 201312
13 201212
14 202311
15 202311
16 201010
17 202110
18 20219
19 20219
20 19868

About Shenglan Tan

Shenglan Tan is a scholar working on Molecular Biology, Complementary and alternative medicine, Infectious Diseases, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 31 papers that have together received 466 indexed citations. Recurring topics across this work include Medicinal plant effects and applications (5 papers), Natural product bioactivities and synthesis (4 papers), Biological Activity of Diterpenoids and Biflavonoids (3 papers), Bone Metabolism and Diseases (2 papers), Health Policy Implementation Science (1 paper), Electric Vehicles and Infrastructure (1 paper), Advanced Battery Technologies Research (1 paper) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Complementary and alternative medicine (67 citations), Geriatrics and Gerontology (24 citations), Pharmacology (53 citations), Molecular Medicine (26 citations) and Cancer Research (55 citations). Shenglan Tan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Bikui Zhang, Ping Xu, Yang Deng, Pei Jiang, Yangzhao Zhou, Jie Du, Shanshan Wei, Xiaohui Li, Daxiong Xiang and Qiong Lu. Their work appears in journals such as Journal of Cancer, BMC Medical Education, BMC Health Services Research, Frontiers in Pharmacology and Organic & Biomolecular Chemistry.

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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