Michael Pan

1.1k citations
20 papers · 870 · h-index 16

Impact in

    • Leptospirosis research and findings
    • Vector-borne infectious diseases
    • Veterinary medicine and infectious diseases

Papers in

Michael Pan

19 papers receiving 838 citations

Peers

Michael Pan
Comparison fields: 5 of 110
  • Parasitology 400
  • Small Animals 94
  • Infectious Diseases 168
  • Immunology 108
  • Dermatology 41
Replace Cecil P. Moore with:
Cecil P. Moore United States
J. Claire Hoving South Africa
Beth L. Hahn United States
Seung‐Ho Lee South Korea
Deborah A. Schaefer United States
Barbara L. Doughty United States
Ricardo Riccio Oliveira Brazil
S. Herath United Kingdom
Angela van Diepen Netherlands
Henryka Długońska Poland
Michael Pan relative to Cecil P. Moore United States Cecil P. Moore's profile →
Citations per field
00.5×4.8×
Cecil P. Moore · 1×
Citations per year

Countries citing papers authored by Michael Pan

Since Specialization
Citations

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

Fields of papers citing papers by Michael Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2001129
2 2006101
3 200495
4 200793
5 201385
6 201354
7 200446
8 201440
9 200333
10 200632
11 199632
12 199131
13 201025
14 199616
15 201415
16 201415
17 199715
18 201510
19 20233
20 20150

About Michael Pan

Michael Pan is a scholar working on Parasitology, Molecular Biology, Genetics, Immunology and Infectious Diseases, having authored 20 papers that have together received 870 indexed citations. Recurring topics across this work include Leptospirosis research and findings (6 papers), Virus-based gene therapy research (3 papers), Humic Substances and Bio-Organic Studies (2 papers), Veterinary medicine and infectious diseases (2 papers), Animal Virus Infections Studies (1 paper), Biomarkers in Disease Mechanisms (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Parasitology (400 citations), Small Animals (94 citations), Infectious Diseases (168 citations), Immunology (108 citations) and Dermatology (41 citations). Michael Pan has collaborated with scholars based in United States, Taiwan and France. Frequent co-authors include Chih‐Wei Yang, Ming‐Shiou Wu, J. Levitt, Sebastian Bernardo, Ya‐Chung Tian, Alain Vandewalle, Ming‐Kung Wu, Jin Wang, Cheng‐Chieh Chang and Yvonne M. Saenger. Their work appears in journals such as Nephrology Dialysis Transplantation, Veterinary Record, Kidney International, Expert Opinion on Biological Therapy and Journal of Clinical Microbiology.

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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