Shenglan Tan

632 citations
29 papers · 444 · h-index 13

Impact in

Papers in

Shenglan Tan

26 papers receiving 439 citations

Peers

Shenglan Tan
Comparison fields: 5 of 98
  • Complementary and alternative medicine 65
  • Geriatrics and Gerontology 29
  • Pharmacology 59
  • Molecular Medicine 27
  • Applied Microbiology and Biotechnology 9
Replace Bashir A. Yousef with:
Bashir A. Yousef Sudan
Se Hee Lee South Korea
Yuanfei Huang China
Pazit Y. Cohen Israel
Miguel Ángel Calleja Spain
Astrid E. van der Velde Netherlands
Jong‐Lyul Ghim South Korea
Marie‐Madeleine Galteau France
Pochung Jordan Chou United States
Ahmad Shannar United States
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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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201750
2 201848
3 202043
4 201841
5 201136
6
Development and comparison of a new personalized warfarin stable dose prediction algorithm in Chinese patients undergoing heart valve replacement.
201228
7 202024
8 201818
9 201317
10 202016
11 201614
12 201212
13 201312
14 202311
15 201010
16 20219
17 20219
18 20219
19 20238
20 19868

About Shenglan Tan

Shenglan Tan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Complementary and alternative medicine, Pharmacology and Infectious Diseases, having authored 29 papers that have together received 444 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), Pharmaceutical Practices and Patient Outcomes (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Diabetes Management and Education (2 papers), Lipoproteins and Cardiovascular Health (2 papers) and Bone Metabolism and Diseases (2 papers). The work is most often cited by research in Complementary and alternative medicine (65 citations), Geriatrics and Gerontology (29 citations), Pharmacology (59 citations), Molecular Medicine (27 citations) and Applied Microbiology and Biotechnology (9 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, Daxiong Xiang, Qiong Lu, Yinhuai Wang, Lei Chen and Xiaohui Li. Their work appears in journals such as Journal of Cancer, BMC Health Services Research, Frontiers in Pharmacology, Antiviral chemistry & chemotherapy and Medicine.

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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