Michael Pan

531 citations
35 papers · 335 · h-index 10

Impact in

Papers in

    • Gene Regulatory Network Analysis 10
    • Microbial Metabolic Engineering and Bioproduction 7
    • Bioinformatics and Genomic Networks 5
    • ATP Synthase and ATPases Research 4
    • Photosynthetic Processes and Mechanisms 3
    • Ion Transport and Channel Regulation 3
    • Advanced Fluorescence Microscopy Techniques 3

Michael Pan

33 papers receiving 324 citations

Peers

Michael Pan
Comparison fields: 5 of 72
  • Biophysics 21
  • Electronic, Optical and Magnetic Materials 52
  • Modeling and Simulation 10
  • Molecular Biology 138
  • Cellular and Molecular Neuroscience 33
Replace Kai F. Hoettges with:
Kai F. Hoettges United Kingdom
Dharmakeerthi Nawarathna United States
Adam M. Damry Australia
Francesca Nicoli Germany
Maria Makarova United Kingdom
Mirela Mustata United States
Eleonora De Re United States
Huaizhou Jin China
Agnese Sonato Italy
Christian M. Cupo United States
Michael Pan relative to Kai F. Hoettges United Kingdom Kai F. Hoettges's profile →
Citations per field
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Kai F. Hoettges · 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

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200561
2 200248
3 202123
4 201818
5 199017
6 201516
7 198815
8 202214
9 202114
10 202113
11 202110
12 202010
13 20229
14 20228
15 20157
16 20106
17 20225
18 20255
19 20084
20 20234

About Michael Pan

Michael Pan is a scholar working on Molecular Biology, Biophysics, Cardiology and Cardiovascular Medicine, Modeling and Simulation and Electrochemistry, having authored 35 papers that have together received 335 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (10 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Bioinformatics and Genomic Networks (5 papers), ATP Synthase and ATPases Research (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Photosynthetic Processes and Mechanisms (3 papers) and Ion Transport and Channel Regulation (3 papers). The work is most often cited by research in Biophysics (21 citations), Electronic, Optical and Magnetic Materials (52 citations), Modeling and Simulation (10 citations), Molecular Biology (138 citations) and Cellular and Molecular Neuroscience (33 citations). Michael Pan has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include P.J. Gawthrop, Edmund J. Crampin, Paras N. Prasad, Alexander N. Cartwright, Joseph Cursons, Kenneth Tran, P. Chagvardieff, Tzu‐Chau Lin, Amitava Patra and Richard A. Vaia. Their work appears in journals such as Mathematical Biosciences, Journal of The Royal Society Interface, Plant Cell Tissue and Organ Culture (PCTOC), Royal Society Open Science and PLoS Computational Biology.

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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