Fu-Ming Pan

804 citations
46 papers · 722 · h-index 17

Impact in

  • Genetics top 10%
    • Venomous Animal Envenomation and Studies
    • Animal Genetics and Reproduction
    • Connexins and lens biology
    • Enzyme Catalysis and Immobilization
    • Microbial Metabolic Engineering and Bioproduction

Papers in

    • Connexins and lens biology 13
    • Venomous Animal Envenomation and Studies 4
    • Animal Genetics and Reproduction 4
    • Virus-based gene therapy research 3

Fu-Ming Pan

46 papers receiving 703 citations

Peers

Fu-Ming Pan
Comparison fields: 5 of 92
  • Genetics 177
  • Molecular Biology 406
  • Sensory Systems 27
  • Endocrinology, Diabetes and Metabolism 82
  • Bioengineering 27
Replace Dixon J. Woodbury with:
Dixon J. Woodbury United States
Marcelo J. Alfonzo Venezuela
Lopamudra Giri India
Preethi S. Ganapathy United States
Paul Towner United Kingdom
Normann Goodwin Germany
Jean‐François Bodart France
Lavinia Liguori France
Artur Escalada Spain
Fu-Ming Pan relative to Dixon J. Woodbury United States Dixon J. Woodbury's profile →
Citations per field
00.5×10×13.7×
Dixon J. Woodbury · 1×
Citations per year

Countries citing papers authored by Fu-Ming Pan

Since Specialization
Citations

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

Fields of papers citing papers by Fu-Ming Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200170
2 202049
3 198842
4 198935
5 199534
6 200634
7 198632
8 198730
9 199424
10 200223
11 199622
12 198920
13 200020
14 198619
15 199619
16 199518
17 200116
18 199715
19 200215
20 199615

About Fu-Ming Pan

Fu-Ming Pan is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 46 papers that have together received 722 indexed citations. Recurring topics across this work include Connexins and lens biology (13 papers), ZnO doping and properties (7 papers), Venomous Animal Envenomation and Studies (4 papers), Animal Genetics and Reproduction (4 papers), Semiconductor materials and devices (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Ga2O3 and related materials (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Genetics (177 citations), Molecular Biology (406 citations), Sensory Systems (27 citations), Endocrinology, Diabetes and Metabolism (82 citations) and Bioengineering (27 citations). Fu-Ming Pan has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Shyh‐Horng Chiou, Wen‐Chang Chang, Wen‐Chang Chang, Supachok Sinchaikul, Shui‐Tein Chen, Suree Phutrakul, Chun‐Yu Lin, T.H. Fleisch, Peter C. Stair and Sy Han Chiou. Their work appears in journals such as Biochemical and Biophysical Research Communications, Surface Science, Bioorganic & Medicinal Chemistry Letters, Applied Surface Science and Nucleic Acids Research.

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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