Keyao Pan

552 citations
12 papers · 409 · h-index 9

Impact in

Papers in

    • RNA Interference and Gene Delivery 5
    • Advanced biosensing and bioanalysis techniques 4
    • DNA and Nucleic Acid Chemistry 2
    • vaccines and immunoinformatics approaches 2
    • Influenza Virus Research Studies 4

Keyao Pan

12 papers receiving 405 citations

Peers

Keyao Pan
Comparison fields: 5 of 65
  • Biophysics 62
  • Structural Biology 12
  • Molecular Biology 291
  • Ecology 62
  • Epidemiology 69
Replace Javier Periz with:
Javier Periz United Kingdom
Dustin B. Ritchie Canada
Frédéric Eghiaian France
David L.V. Bauer United Kingdom
Victor Serebrov United States
Reiko Takai‐Todaka Japan
Martin Delguste Belgium
Charlotte E. Melia Netherlands
Matthew H. Bakalar United States
Bastian Thaa Germany
Keyao Pan relative to Javier Periz United Kingdom Javier Periz's profile →
Citations per field
00.5×4.2×
Javier Periz · 1×
Citations per year

Countries citing papers authored by Keyao Pan

Since Specialization
Citations

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

Fields of papers citing papers by Keyao Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Keyao Pan, 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 Keyao Pan Line = papers co-authored together Keyao Pan links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2015129
2 201498
3 201346
4 201140
5 201121
6 201720
7 201120
8 201516
9 201014
10 20113
11 20221
12 20211

About Keyao Pan

Keyao Pan is a scholar working on Molecular Biology, Epidemiology, Immunology, Ecology and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 409 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (5 papers), Influenza Virus Research Studies (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), DNA and Nucleic Acid Chemistry (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Bacteriophages and microbial interactions (2 papers), vaccines and immunoinformatics approaches (2 papers) and Web Data Mining and Analysis (1 paper). The work is most often cited by research in Biophysics (62 citations), Structural Biology (12 citations), Molecular Biology (291 citations), Ecology (62 citations) and Epidemiology (69 citations). Keyao Pan has collaborated with scholars based in United States and South Korea. Frequent co-authors include Mark Bathe, Michael W. Deem, Hao Yan, Fei Zhang, Lun Yang, Hye Yoon Park, Zachary Katz, Brian P. English, Étienne Boulais and Nilah Monnier. Their work appears in journals such as Journal of Chemical Theory and Computation, Nucleic Acids Research, PLoS ONE, Nature Communications and Journal of Molecular Evolution.

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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