Min Wen

3.0k citations
105 papers · 2.4k · 1 hit paper · h-index 27

Impact in

Papers in

Min Wen

96 papers receiving 2.4k citations

Min Wen's Hit Papers

UGT1A1*28 polymorphism as a determinant of irinotecan disposition and toxicity 2002 · 564 citations
5640+8+16Years since publication100200300400500

Peers

Min Wen
Comparison fields: 5 of 133
  • Pharmacology 209
  • Nutrition and Dietetics 309
  • Aquatic Science 128
  • Biological Psychiatry 38
  • Biochemistry 106
Replace Hiroaki Oda with:
Hiroaki Oda Japan
Kyunghee Byun South Korea
Shiying Huang China
Fei Li China
Dae Hyun Kim South Korea
Markus Tiedge Germany
Xavier Palomer Spain
Xiaoyu Li China
Sung Sik Choe South Korea
Min Wen relative to Hiroaki Oda Japan Hiroaki Oda's profile →
Citations per field
00.5×2×4×6.2×
Hiroaki Oda · 1×
Citations per year

Countries citing papers authored by Min Wen

Since Specialization
Citations

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

Fields of papers citing papers by Min Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1
UGT1A1*28 polymorphism as a determinant of irinotecan disposition and toxicity
Hit paper breakdown →
2002564
2 2002101
3 201089
4 202078
5 200171
6 201665
7 201661
8 201253
9 201253
10 201850
11 201747
12 201746
13 202246
14 201646
15 201240
16 202239
17 201838
18 201637
19 202236
20 201935

About Min Wen

Min Wen is a scholar working on Molecular Biology, Nutrition and Dietetics, Physiology, Surgery and Pulmonary and Respiratory Medicine, having authored 105 papers that have together received 2.4k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (20 papers), Cholesterol and Lipid Metabolism (6 papers), Diet and metabolism studies (6 papers), Adipose Tissue and Metabolism (4 papers), Cancer Research and Treatments (4 papers), Inflammasome and immune disorders (4 papers), Ferroptosis and cancer prognosis (4 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Pharmacology (209 citations), Nutrition and Dietetics (309 citations), Aquatic Science (128 citations), Biological Psychiatry (38 citations) and Biochemistry (106 citations). Min Wen has collaborated with scholars based in China, Japan and South Korea. Frequent co-authors include Changhu Xue, Yuming Wang, Gini F. Fleming, Mark J. Ratain, Lalitha Iyer, Richard L. Schilsky, Theodore Karrison, Soma Das, Jacqueline Ramı́rez and Everett E. Vokes. Their work appears in journals such as Journal of Functional Foods, Food & Function, European Journal of Pharmacology, Acta Neurochirurgica and Marine Drugs.

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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