Chi B. Vu

3.1k citations
36 papers · 1.0k · h-index 19

Impact in

Papers in

    • Synthesis and Biological Evaluation 5
    • Asymmetric Synthesis and Catalysis 4
    • Chemical synthesis and alkaloids 3
    • Chemical Synthesis and Analysis 7
    • Protein Kinase Regulation and GTPase Signaling 4
    • Peroxisome Proliferator-Activated Receptors 3

Chi B. Vu

35 papers receiving 978 citations

Peers

Chi B. Vu
Comparison fields: 5 of 99
  • Physiology 172
  • Geriatrics and Gerontology 98
  • Organic Chemistry 506
  • Pharmacology 84
  • Molecular Biology 342
Replace Homer L. Pearce with:
Homer L. Pearce United States
Taha F. S. Ali Egypt
Sylvain Broussy France
Silvana Casati Italy
Mohamed O. Radwan Japan
Jingwu Kang China
Jacek Wierzchowski Poland
Ferda Arı Türkiye
Xinglin Yang China
Laura Lombardo Italy
Chi B. Vu relative to Homer L. Pearce United States Homer L. Pearce's profile →
Citations per field
00.5×7.5×
Homer L. Pearce · 1×
Citations per year

Countries citing papers authored by Chi B. Vu

Since Specialization
Citations

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

Fields of papers citing papers by Chi B. Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi B. Vu. 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 Chi B. Vu. The network helps show where Chi B. Vu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997126
2 2009102
3 200875
4 199974
5 200464
6 200454
7 200452
8 200146
9 200435
10 199932
11 201631
12 199030
13 200428
14 200027
15 200923
16 201622
17 199419
18 199219
19 199019
20 201718

About Chi B. Vu

Chi B. Vu is a scholar working on Organic Chemistry, Molecular Biology, Physiology, Surgery and Oncology, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (7 papers), Chemical Synthesis and Analysis (7 papers), Synthesis and Biological Evaluation (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Asymmetric Synthesis and Catalysis (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Synthesis and Biological Activity (3 papers) and Chemical synthesis and alkaloids (3 papers). The work is most often cited by research in Physiology (172 citations), Geriatrics and Gerontology (98 citations), Organic Chemistry (506 citations), Pharmacology (84 citations) and Molecular Biology (342 citations). Chi B. Vu has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Harry H. Wasserman, Russell C. Petter, Thomas M. Engber, G. Kumaravel, Xiaowei Jin, Michael R. Jirousek, Bo Peng, Jill C. Milne, David P. Carney and Robert B. Perni. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, Tetrahedron and Hepatology Communications.

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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