Khai Phan

560 citations
18 papers · 475 · h-index 14

Impact in

Papers in

    • Receptor Mechanisms and Signaling 11
    • Advanced biosensing and bioanalysis techniques 3
    • Pharmacological Receptor Mechanisms and Effects 3
    • Adenosine and Purinergic Signaling 16

Khai Phan

18 papers receiving 455 citations

Peers

Khai Phan
Comparison fields: 5 of 59
  • Physiology 264
  • Cellular and Molecular Neuroscience 131
  • Molecular Biology 345
  • Organic Chemistry 102
  • Computational Theory and Mathematics 52
Replace Lena S. Yoo with:
Lena S. Yoo United States
Ariel S. Gross United States
Miriam de Groote Netherlands
Tamara A. M. Mocking Netherlands
Elisabeth Klaasse Netherlands
Xiao-duo Ji United States
Anna Junker Germany
Arnault Massink Netherlands
Rao Kalla United States
Wenzhong Yan China
Khai Phan relative to Lena S. Yoo United States Lena S. Yoo's profile →
Citations per field
00.5×2.8×
Lena S. Yoo · 1×
Citations per year

Countries citing papers authored by Khai Phan

Since Specialization
Citations

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

Fields of papers citing papers by Khai Phan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khai Phan. 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 Khai Phan. The network helps show where Khai Phan may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201274
2 201246
3 201245
4 201143
5 201235
6 201134
7 201232
8 201423
9 201021
10 201421
11 201217
12 201116
13 201116
14 202114
15 201213
16 201212
17 20118
18 20115

About Khai Phan

Khai Phan is a scholar working on Molecular Biology, Physiology, Organic Chemistry, Cellular and Molecular Neuroscience and Immunology, having authored 18 papers that have together received 475 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (16 papers), Receptor Mechanisms and Signaling (11 papers), Click Chemistry and Applications (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Neuropeptides and Animal Physiology (3 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Synthesis and Biological Evaluation (2 papers) and Mast cells and histamine (1 paper). The work is most often cited by research in Physiology (264 citations), Cellular and Molecular Neuroscience (131 citations), Molecular Biology (345 citations), Organic Chemistry (102 citations) and Computational Theory and Mathematics (52 citations). Khai Phan has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Kenneth A. Jacobson, Zhan‐Guo Gao, Dilip K. Tosh, Francesca Deflorian, Silvia Paoletta, T. Santhosh Kumar, Tina C. Wan, Elizabeth Gizewski, Steven M. Moss and John A. Auchampach. Their work appears in journals such as Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Organic & Biomolecular Chemistry, Journal of the American Chemical Society and Bioorganic & Medicinal Chemistry Letters.

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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