Wen Wu

1.5k citations
29 papers · 1.2k · h-index 16

Impact in

  • Surgery top 5%
    • Pancreatic function and diabetes
    • Sulfur Compounds in Biology

Papers in

Wen Wu

27 papers receiving 1.2k citations

Peers

Wen Wu
Comparison fields: 5 of 91
  • Surgery 548
  • Biochemistry 91
  • Endocrinology, Diabetes and Metabolism 174
  • Cancer Research 133
  • Molecular Biology 616
Replace Pili Zhang with:
Pili Zhang United States
Shigeru Yatoh Japan
Alba Casellas Spain
Nir Rubins United States
Judith Magenheim Israel
Verónica Jiménez Spain
Kazuaki Miyake Japan
James K. Oeser United States
Jennifer Oliver‐Krasinski United States
Kaku Tsuruzoe Japan
Wen Wu relative to Pili Zhang United States Pili Zhang's profile →
Citations per field
00.5×1.6×
Pili Zhang · 1×
Citations per year

Countries citing papers authored by Wen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001332
2 2001306
3 201693
4 201952
5 201351
6 201451
7 201739
8 200138
9 200936
10 200229
11 201927
12 201724
13 200923
14 201219
15 201816
16 202016
17 201513
18 201412
19 201812
20 202310

About Wen Wu

Wen Wu is a scholar working on Molecular Biology, Cancer Research, Clinical Biochemistry, Biochemistry and Surgery, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (4 papers), Sulfur Compounds in Biology (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Pancreatic function and diabetes (3 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (2 papers), Diabetes Treatment and Management (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Surgery (548 citations), Biochemistry (91 citations), Endocrinology, Diabetes and Metabolism (174 citations), Cancer Research (133 citations) and Molecular Biology (616 citations). Wen Wu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include M. Alan Permutt, Ernesto Bernal‐Mizrachi, Cris M. Welling, Jianqiang Feng, Xiaochun Long, Harold A. Singer, Wenming Xu, Wei Zhang, Jinjing Zhao and David Jourd’heuil. Their work appears in journals such as International Journal of Molecular Medicine, Journal of Clinical Investigation, BMC Oral Health, BMC Plant Biology and Oncogene.

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.

Explore authors with similar magnitude of impact