Minjun Chen
Impact in
- Pharmacology top 0.05%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacogenetics and Drug Metabolism
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
- Pharmacology 48
- Drug-Induced Hepatotoxicity and Protection 42
- Pharmacogenetics and Drug Metabolism 28
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- Computational Drug Discovery Methods 25
- Co-authors
- Weida Tong (41 shared papers)Jürgen T. Borlak (15 shared papers)Ayako M. Suzuki (8 shared papers)Hong Fang (12 shared papers)Huixiao Hong (18 shared papers)Shraddha H. Thakkar (5 shared papers)Hui Wang (14 shared papers)Raúl Jesús Andrade Bellido (6 shared papers)
- Journals
- Antimicrobial Agents and Chemotherapy (7 papers)Drug Discovery Today (5 papers)Diagnostic Microbiology and Infectious Disease (4 papers)Toxicological Sciences (4 papers)BMC Bioinformatics (3 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Minjun Chen
109 papers receiving 4.5k citations
Minjun Chen's Hit Papers
Peers
Comparison fields: 5 of 152
- Pharmacology 1.6k
- Molecular Medicine 418
- Computational Theory and Mathematics 1.0k
- Applied Microbiology and Biotechnology 79
- Hepatology 291
Countries citing papers authored by Minjun Chen
This map shows the geographic impact of Minjun Chen'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 Minjun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minjun Chen more than expected).
Fields of papers citing papers by Minjun Chen
This network shows the impact of papers produced by Minjun Chen. 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 Minjun Chen. The network helps show where Minjun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Minjun Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | FDA-approved drug labeling for the study of drug-induced liver injury Hit paper breakdown → | 2011 | 339 |
| 2 | 2015 | 331 | |
| 3 | High lipophilicity and high daily dose of oral medications are associated with significant risk for drug-induced liver injury Hit paper breakdown → | 2012 | 304 |
| 4 | DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans Hit paper breakdown → | 2016 | 296 |
| 5 | 2008 | 146 | |
| 6 | 2007 | 134 | |
| 7 | 2015 | 129 | |
| 8 | 2014 | 122 | |
| 9 | 2012 | 121 | |
| 10 | 2014 | 111 | |
| 11 | 2018 | 110 | |
| 12 | 2007 | 98 | |
| 13 | 2013 | 96 | |
| 14 | 2017 | 85 | |
| 15 | 2016 | 82 | |
| 16 | 2009 | 72 | |
| 17 | 2003 | 69 | |
| 18 | 2009 | 68 | |
| 19 | 2012 | 62 | |
| 20 | 2009 | 55 |
About Minjun Chen
Minjun Chen is a scholar working on Pharmacology, Computational Theory and Mathematics, Molecular Medicine, Epidemiology and Clinical Biochemistry, having authored 115 papers that have together received 4.7k indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (42 papers), Pharmacogenetics and Drug Metabolism (28 papers), Computational Drug Discovery Methods (25 papers), Pneumonia and Respiratory Infections (10 papers), Liver Disease Diagnosis and Treatment (10 papers), Antibiotic Resistance in Bacteria (9 papers), Antimicrobial Resistance in Staphylococcus (9 papers) and Bacterial biofilms and quorum sensing (6 papers). The work is most often cited by research in Pharmacology (1.6k citations), Molecular Medicine (418 citations), Computational Theory and Mathematics (1.0k citations), Applied Microbiology and Biotechnology (79 citations) and Hepatology (291 citations). Minjun Chen has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Weida Tong, Jürgen T. Borlak, Ayako M. Suzuki, Hong Fang, Huixiao Hong, Shraddha H. Thakkar, Hui Wang, Raúl Jesús Andrade Bellido, M. Isabel Lucena and Ke Yu. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Drug Discovery Today, Diagnostic Microbiology and Infectious Disease, Toxicological Sciences and BMC Bioinformatics.
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.