Chi B. Vu

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

Impact in

Papers in

    • Synthesis and Biological Evaluation 5
    • Asymmetric Synthesis and Catalysis 4
    • Click Chemistry and Applications 3
    • Chemical Synthesis and Analysis 7
    • Protein Kinase Regulation and GTPase Signaling 4
    • Pharmacological Receptor Mechanisms and Effects 3

Chi B. Vu

35 papers receiving 971 citations

Peers

Chi B. Vu
Comparison fields: 5 of 99
  • Physiology 172
  • Geriatrics and Gerontology 98
  • Organic Chemistry 508
  • Molecular Biology 349
  • Pollution 58
Replace Tamás Lóránd with:
Tamás Lóránd Hungary
Sylvain Broussy France
Silvana Casati Italy
Jingwu Kang China
Xinglin Yang China
Jacek Wierzchowski Poland
Leszek Szmigiero Poland
Mohamed O. Radwan Japan
Chris Petucci United States
Edward G. Miller United States
Chi B. Vu relative to Tamás Lóránd Hungary Tamás Lóránd's profile →
Citations per field
00.5×10×15×20×24.6×
Tamás Lóránd · 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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997123
2 2009101
3 200874
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 199019
19 199219
20 201717

About Chi B. Vu

Chi B. Vu is a scholar working on Organic Chemistry, Molecular Biology, Physiology, Surgery and Oncology, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (7 papers), Adenosine and Purinergic Signaling (7 papers), Synthesis and Biological Evaluation (5 papers), Asymmetric Synthesis and Catalysis (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Synthesis and Biological Activity (3 papers), Pharmacological Receptor Mechanisms and Effects (3 papers) and Click Chemistry and Applications (3 papers). The work is most often cited by research in Physiology (172 citations), Geriatrics and Gerontology (98 citations), Organic Chemistry (508 citations), Molecular Biology (349 citations) and Pollution (58 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, Michael R. Jirousek, Xiaowei Jin, 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, Pure and Applied Chemistry and Tetrahedron.

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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