Jianbin Tan

725 citations
38 papers · 542 · h-index 11

Impact in

Papers in

Jianbin Tan

31 papers receiving 531 citations

Peers

Jianbin Tan
Comparison fields: 5 of 103
  • Pharmacology 208
  • Modeling and Simulation 37
  • Health, Toxicology and Mutagenesis 107
  • Pharmacology 62
  • Complementary and alternative medicine 49
Replace Eko Suhartono with:
Eko Suhartono Indonesia
Debosree Ghosh India
Milica Atanacković Krstonošić Serbia
Semra Türkoğlu Türkiye
Bianca Pașca Romania
Jicang Wang China
T. Vijayalakshmi India
Sundong Lee South Korea
Suresh K. Mohankumar India
Chie Taguchi Japan
Jianbin Tan relative to Eko Suhartono Indonesia Eko Suhartono's profile →
Citations per field
00.5×9.3×
Eko Suhartono · 1×
Citations per year

Countries citing papers authored by Jianbin Tan

Since Specialization
Citations

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

Fields of papers citing papers by Jianbin Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016107
2 201282
3 201561
4 201755
5 201832
6 201930
7 201528
8 201320
9 202117
10 202314
11 202114
12 202210
13 202310
14 202110
15 20209
16
[Study on the antihyperlipidemia effective constituent of Polygala fallax Hemsl].
20067
17 20245
18 20215
19 20004
20 20204

About Jianbin Tan

Jianbin Tan is a scholar working on Molecular Biology, Modeling and Simulation, Health, Toxicology and Mutagenesis, Pharmacology and Plant Science, having authored 38 papers that have together received 542 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (9 papers), Heavy Metal Exposure and Toxicity (7 papers), Fungal Biology and Applications (5 papers), Spectroscopy and Chemometric Analyses (3 papers), Medicinal Plants and Bioactive Compounds (3 papers), Influenza Virus Research Studies (3 papers), COVID-19 Clinical Research Studies (3 papers) and Natural product bioactivities and synthesis (2 papers). The work is most often cited by research in Pharmacology (208 citations), Modeling and Simulation (37 citations), Health, Toxicology and Mutagenesis (107 citations), Pharmacology (62 citations) and Complementary and alternative medicine (49 citations). Jianbin Tan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qingping Wu, Chun Xiao, Jumei Zhang, Yizhen Xie, Xiaobing Yang, Xingfen Yang, Shixuan Wu, Rui Huang, Jing Wang and Ping Wang. Their work appears in journals such as Journal of the American Statistical Association, Epidemiology and Infection, Food & Function, Journal of Agricultural and Food Chemistry and Enterprise Information Systems.

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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