Wen‐Sen Lee

159 papers receiving 5.3k citations

Peers

Wen‐Sen Lee
Comparison fields: 5 of 135
  • Molecular Medicine 496
  • Applied Microbiology and Biotechnology 108
  • Endocrinology 255
  • Behavioral Neuroscience 167
  • Clinical Biochemistry 251
Replace Alberto Álvarez with:
Alberto Álvarez Spain
Han–Jung Chae South Korea
Maria Chiara Maiuri France
Mikhail Alexeyev United States
Thorsten Berger Canada
Stuart Farrow United Kingdom
Jan R. Crowley United States
Madhu Dikshit India
Chuen‐Mao Yang Taiwan
Wen‐Sen Lee relative to Alberto Álvarez Spain Alberto Álvarez's profile →
Citations per field
00.5×6.6×
Alberto Álvarez · 1×
Citations per year

Countries citing papers authored by Wen‐Sen Lee

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Sen Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993257
2 1996225
3 1992193
4 1995163
5 1997156
6 1996155
7 1996148
8 1995140
9 2004134
10 2012116
11 1990111
12 2015102
13 200295
14 202092
15 200383
16 199781
17 199681
18 200973
19 200169
20 200367

About Wen‐Sen Lee

Wen‐Sen Lee is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Molecular Medicine and Oncology, having authored 160 papers that have together received 5.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (22 papers), Cancer-related Molecular Pathways (14 papers), Estrogen and related hormone effects (14 papers), Cancer, Lipids, and Metabolism (12 papers), NF-κB Signaling Pathways (10 papers), Ion Transport and Channel Regulation (9 papers), Streptococcal Infections and Treatments (8 papers) and Angiogenesis and VEGF in Cancer (8 papers). The work is most often cited by research in Molecular Medicine (496 citations), Applied Microbiology and Biotechnology (108 citations), Endocrinology (255 citations), Behavioral Neuroscience (167 citations) and Clinical Biochemistry (251 citations). Wen‐Sen Lee has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Matthias A. Hediger, Po‐Ren Hsueh, Yoshikatsu Kanai, Craig P. Smith, Yu‐Chih Liang, Guofeng You, Gloria E. Hoffman, Shu‐Hui Juan, Shio‐Shin Jean and M. Susan Smith. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Biochemical Pharmacology, Journal of Biological Chemistry, European Journal of Pharmacology and Endocrinology.

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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