Min Wen

1.9k total citations · 1 hit paper
59 papers, 1.5k citations indexed

About

Min Wen is a scholar working on Molecular Biology, Nutrition and Dietetics and Physiology. According to data from OpenAlex, Min Wen has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 21 papers in Nutrition and Dietetics and 19 papers in Physiology. Recurrent topics in Min Wen's work include Fatty Acid Research and Health (20 papers), Adipose Tissue and Metabolism (9 papers) and Diet and metabolism studies (8 papers). Min Wen is often cited by papers focused on Fatty Acid Research and Health (20 papers), Adipose Tissue and Metabolism (9 papers) and Diet and metabolism studies (8 papers). Min Wen collaborates with scholars based in China, Japan and Germany. Min Wen's co-authors include Changhu Xue, Yuming Wang, Linda Janisch, Soma Das, Everett E. Vokes, Richard L. Schilsky, Gini F. Fleming, Jacqueline Ramı́rez, Lalitha Iyer and Mark J. Ratain and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Min Wen

53 papers receiving 1.5k citations

Hit Papers

UGT1A1*28 polymorphism as a determinant of irinotecan dis... 2002 2026 2010 2018 2002 100 200 300 400 500

Peers

Min Wen
Comparison fields: 5 of 105
  • Molecular Biology 722
  • Oncology 392
  • Nutrition and Dietetics 291
  • Physiology 254
  • Pharmacology 156
Replace Sachiko Kitanaka with:
Sachiko Kitanaka Japan
Jing Lü China
Dionysios V. Chartoumpekis Greece
Cristina Godio Italy
Ming Yin China
Scott A. Reisman United States
Hai Jin China
Irina Tsoy Nizamutdinova South Korea
Philippe Thuillier France
Federica Gilardi Switzerland
Sachiko Kitanaka Japan View profile →
Citations per field, relative to Min Wen
Min Wen · 1×
Citations per year, relative to Min Wen
Min Wen · 1×

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-authorship network of co-authors of Min Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Min Wen. A scholar is included among the top collaborators of Min Wen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Min Wen. Min Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 0
5 3
6 11
7 7
8 6
9 6
10 2
11 0
12 24
13 45
14 15
15 22
16 9
17 18
18 16
19 50
20 15

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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