Min‐Hui Pan

3.6k citations
102 papers · 1.6k · h-index 22

Impact in

    • Viral Infectious Diseases and Gene Expression in Insects
    • Insect Resistance and Genetics
    • CRISPR and Genetic Engineering
    • Genomics and Phylogenetic Studies

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 50
    • Insect Resistance and Genetics 38
    • CRISPR and Genetic Engineering 20
    • RNA Research and Splicing 8

Min‐Hui Pan

99 papers receiving 1.6k citations

Peers

Min‐Hui Pan
Comparison fields: 5 of 81
  • Insect Science 448
  • Molecular Biology 1.1k
  • Immunology 320
  • Biomaterials 186
  • Genetics 288
Replace Hailong Yang with:
Hailong Yang China
Kwang Sik Lee South Korea
Kristof De Schutter Belgium
Zhifang Zhang China
Ai Asaoka Japan
Mário A.C. Silva-Neto Brazil
Mônica F. Moreira Brazil
Douglas A. Shoue United States
Kristopher Silver United States
Erika Staudacher Austria
Min‐Hui Pan relative to Hailong Yang China Hailong Yang's profile →
Citations per field
00.5×2.5×
Hailong Yang · 1×
Citations per year

Countries citing papers authored by Min‐Hui Pan

Since Specialization
Citations

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

Fields of papers citing papers by Min‐Hui Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200990
2 200885
3 201074
4 200864
5 201650
6 200748
7 201843
8 201540
9 201440
10 201637
11 201836
12 201733
13 201429
14 202029
15 201727
16 201726
17 201225
18 201525
19 201023
20 201923

About Min‐Hui Pan

Min‐Hui Pan is a scholar working on Molecular Biology, Insect Science, Biomaterials, Plant Science and Genetics, having authored 102 papers that have together received 1.6k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (50 papers), Insect Resistance and Genetics (38 papers), Silk-based biomaterials and applications (21 papers), CRISPR and Genetic Engineering (20 papers), Invertebrate Immune Response Mechanisms (12 papers), Plant Virus Research Studies (11 papers), Neurobiology and Insect Physiology Research (9 papers) and RNA Research and Splicing (8 papers). The work is most often cited by research in Insect Science (448 citations), Molecular Biology (1.1k citations), Immunology (320 citations), Biomaterials (186 citations) and Genetics (288 citations). Min‐Hui Pan has collaborated with scholars based in China, Canada and Estonia. Frequent co-authors include Cheng Lu, Zhanqi Dong, Peng Chen, Zhonghuai Xiang, Yan‐Qun Liu, La Wang, Fangyin Dai, Jun Zhang, Cheng Lü and Yuping Li. Their work appears in journals such as International Journal of Biological Macromolecules, Pesticide Biochemistry and Physiology, Insect Science, PLoS ONE and Biochemical and Biophysical Research Communications.

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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