Bin Wan

670 citations
7 papers · 494 · 1 hit paper · h-index 3

Impact in

    • Drug-Induced Hepatotoxicity and Protection
    • Pharmacogenetics and Drug Metabolism
    • Pharmacological Effects of Natural Compounds
  • Hepatology top 10%
    • Liver Disease and Transplantation
    • Liver physiology and pathology

Papers in

    • Tuberculosis Research and Epidemiology 2
    • SARS-CoV-2 detection and testing 1
    • Drug-Induced Hepatotoxicity and Protection 2

Bin Wan

4 papers receiving 486 citations

Bin Wan's Hit Papers

Incidence and Etiology of Drug-Induced Liver Injury in Mainland China 2019 · 470 citations
4700+2+4Years since publication100200300400

Peers

Bin Wan
Comparison fields: 5 of 65
  • Pharmacology 331
  • Hepatology 68
  • Complementary and alternative medicine 25
  • Oncology 79
  • Biological Psychiatry 7
Replace Peilan Zong with:
Peilan Zong China
Lvfeng Yao China
Rongtao Lai China
J. Scott Eaddy United States
Gebran Abboud United States
Tracy Russell United States
Takayoshi Nishiya Japan
Mary Louise M. Graf United States
Alex Hammett United States
Minde Zeng China
Bin Wan relative to Peilan Zong China Peilan Zong's profile →
Citations per field
00.5×1.5×
Peilan Zong · 1×
Citations per year

Countries citing papers authored by Bin Wan

Since Specialization
Citations

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

Fields of papers citing papers by Bin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Incidence and Etiology of Drug-Induced Liver Injury in Mainland China
Hit paper breakdown →
2019470
2 202018
3 20245
4 20251
5 20250
6 20260
7 20260

About Bin Wan

Bin Wan is a scholar working on Infectious Diseases, Pharmacology, General Dentistry, Pulmonary and Respiratory Medicine and Insect Science, having authored 7 papers that have together received 494 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (2 papers), Tuberculosis Research and Epidemiology (2 papers), Infection Control and Ventilation (1 paper), SARS-CoV-2 detection and testing (1 paper) and Dental Research and COVID-19 (1 paper). The work is most often cited by research in Pharmacology (331 citations), Hepatology (68 citations), Complementary and alternative medicine (25 citations), Oncology (79 citations) and Biological Psychiatry (7 citations). Bin Wan has collaborated with scholars based in China. Frequent co-authors include Sixiu Liu, Jianmin Chen, Xunjia Cheng, Chunmei Liu, Jianlong Zhao, Xinlian Zhang, Dongxia Luo, Zhao Wang, Xi Chen and Yuhan Yao. Their work appears in journals such as Patient Preference and Adherence, Frontiers in Medicine, Gastroenterology, The Science of The Total Environment and Asian Nursing Research.

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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