Wen‐Tien Chen

5.9k citations
60 papers · 4.8k · h-index 35

Impact in

Papers in

    • Protease and Inhibitor Mechanisms 30
    • Cancer Genomics and Diagnostics 4
    • Peptidase Inhibition and Analysis 20
    • Cancer Cells and Metastasis 11

Wen‐Tien Chen

60 papers receiving 4.7k citations

Peers

Wen‐Tien Chen
Comparison fields: 5 of 136
  • Immunology and Allergy 1.1k
  • Cancer Research 1.9k
  • Oncology 2.3k
  • Cell Biology 1.0k
  • Cellular and Molecular Neuroscience 632
Replace Albert J. Wong with:
Albert J. Wong United States
André Lochter United States
Sandra H. Bigner United States
Staffan Strömblad Sweden
Candece L. Gladson United States
Hitoshi Kitayama Japan
Nina Marie Pedersen Norway
David F. Barker United States
Ichiro Ota Japan
Brad St. Croix United States
Wen‐Tien Chen relative to Albert J. Wong United States Albert J. Wong's profile →
Citations per field
00.5×1.5×2.4×
Albert J. Wong · 1×
Citations per year

Countries citing papers authored by Wen‐Tien Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Tien Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000446
2 1998318
3 2007301
4 1989286
5 1999187
6 1998186
7 1985156
8 2002144
9 1999136
10 2006131
11 1997130
12 2008128
13 1985125
14 1992125
15 1997125
16 2009124
17 1987122
18 1991118
19 2013108
20 1996101

About Wen‐Tien Chen

Wen‐Tien Chen is a scholar working on Cancer Research, Oncology, Molecular Biology, Immunology and Allergy and Cell Biology, having authored 60 papers that have together received 4.8k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (30 papers), Peptidase Inhibition and Analysis (20 papers), Cell Adhesion Molecules Research (19 papers), Cancer Cells and Metastasis (11 papers), Cellular Mechanics and Interactions (6 papers), RNA Interference and Gene Delivery (5 papers), Cancer Genomics and Diagnostics (4 papers) and Neuropeptides and Animal Physiology (4 papers). The work is most often cited by research in Immunology and Allergy (1.1k citations), Cancer Research (1.9k citations), Oncology (2.3k citations), Cell Biology (1.0k citations) and Cellular and Molecular Neuroscience (632 citations). Wen‐Tien Chen has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Stanley Zucker, Yunyun Yeh, Jian Cao, Susette C. Mueller, Qiang Zhao, Giulio Ghersi, Thomas J. Kelly, Leslie A. Goldstein, Hirokazu Nakahara and Jaw‐Yuan Wang. Their work appears in journals such as Journal of Biological Chemistry, Gynecologic Oncology, Journal of Cell Science, Cancer Research and International Journal of Cancer.

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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