Michael Pan

32 papers receiving 297 citations

Peers

Michael Pan
Comparison fields: 5 of 72
  • Biophysics 20
  • Electronic, Optical and Magnetic Materials 50
  • Modeling and Simulation 11
  • Molecular Biology 127
  • Atomic and Molecular Physics, and Optics 56
Replace Sergio G. López with:
Sergio G. López United Kingdom
Anthony M. Burke United States
Mirela Mustata United States
Yunxiang Wang China
Panagiotis Giannios Greece
Kai F. Hoettges United Kingdom
Joel Gilmore Australia
Sohail Chatoor Netherlands
Francesca Nicoli Germany
Adam M. Damry Australia
Michael Pan relative to Sergio G. López United Kingdom Sergio G. López's profile →
Citations per field
00.5×1.7×
Sergio G. López · 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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200559
2 200247
3 202121
4 201817
5 201516
6 202114
7 202112
8 198812
9 202211
10 202110
11 202010
12 199010
13 20158
14 20227
15 20227
16 20106
17 20225
18 20233
19 20223
20 20203

About Michael Pan

Michael Pan is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Plant Science, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 305 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (11 papers), Microbial Metabolic Engineering and Bioproduction (8 papers), Bioinformatics and Genomic Networks (6 papers), ATP Synthase and ATPases Research (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Ion Transport and Channel Regulation (3 papers), Photoreceptor and optogenetics research (3 papers) and Horticultural and Viticultural Research (2 papers). The work is most often cited by research in Biophysics (20 citations), Electronic, Optical and Magnetic Materials (50 citations), Modeling and Simulation (11 citations), Molecular Biology (127 citations) and Atomic and Molecular Physics, and Optics (56 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, Alexander N. Cartwright, Paras N. Prasad, Joseph Cursons, Kenneth Tran, Rachel Jakubiak, Richard A. Vaia, Christopher S. Friend and Guang S. He. Their work appears in journals such as Journal of The Royal Society Interface, Mathematical Biosciences, Royal Society Open Science, Plant Cell Tissue and Organ Culture (PCTOC) 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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