I‐Wu Chen

1.6k citations
22 papers · 818 · h-index 16

Impact in

    • Pharmacogenetics and Drug Metabolism
  • Virology top 10%
    • HIV Research and Treatment

Papers in

    • Drug Transport and Resistance Mechanisms 5
    • Peptidase Inhibition and Analysis 4
    • HIV/AIDS drug development and treatment 9

I‐Wu Chen

22 papers receiving 774 citations

Peers

I‐Wu Chen
Comparison fields: 5 of 91
  • Pharmacology 121
  • Virology 65
  • Oncology 338
  • Pediatrics, Perinatology and Child Health 169
  • Hematology 84
Replace Kari Vastag with:
Kari Vastag United States
Karen May Germany
Barbara A. Domin United States
Nicola F. Smith United States
Bradley T. Keller United States
Grace Chan United States
Sonia M. de Morais United States
J. Castañer Spain
Hiroyuki Masuno Japan
Keith Riccardi United States
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Citations per field
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Citations per year

Countries citing papers authored by I‐Wu Chen

Since Specialization
Citations

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

Fields of papers citing papers by I‐Wu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001198
2
Effect of dexamethasone on the intestinal first-pass metabolism of indinavir in rats: evidence of cytochrome P-450 3A [correction of P-450 A] and p-glycoprotein induction .
199973
3 200862
4 199460
5 199753
6 199851
7 199748
8 200637
9 199934
10 199731
11 199523
12 200122
13 200721
14 200019
15 199819
16 199416
17 200011
18 200010
19 19988
20 19948

About I‐Wu Chen

I‐Wu Chen is a scholar working on Oncology, Infectious Diseases, Molecular Biology, Organic Chemistry and Pharmacology, having authored 22 papers that have together received 818 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (9 papers), Drug Transport and Resistance Mechanisms (5 papers), HIV Research and Treatment (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Peptidase Inhibition and Analysis (4 papers), Chemical synthesis and pharmacological studies (3 papers) and Chemical Synthesis and Analysis (3 papers). The work is most often cited by research in Pharmacology (121 citations), Virology (65 citations), Oncology (338 citations), Pediatrics, Perinatology and Child Health (169 citations) and Hematology (84 citations). I‐Wu Chen has collaborated with scholars based in United States and Japan. Frequent co-authors include Jiunn H. Lin, Masato Chiba, F A deLuna, Masayo Yamazaki, Jerome Hochman, Tomoyuki Ohe, Janice Rowe, William Neway, Joy A. Nishime and Joseph P. Vacca. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Pharmaceutical Research, Drug Metabolism and Disposition and Journal of Pharmaceutical Sciences.

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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