Min Wan

789 citations
24 papers · 575 indexed · h-index 9

Impact in

Papers in

    • Legionella and Acanthamoeba research 4
    • Advanced biosensing and bioanalysis techniques 3
    • Ginseng Biological Effects and Applications 2
    • RNA Interference and Gene Delivery 2
    • Lipid Membrane Structure and Behavior 2

Min Wan

20 papers receiving 571 citations

Peers

Min Wan
Comparison fields: 5 of 107
  • Endocrinology 79
  • Polymers and Plastics 96
  • Bioengineering 29
  • Immunology 107
  • Cell Biology 59
Replace Jagat Kumar Roy with:
Jagat Kumar Roy India
Andrew Keightley United States
David N. Quan United States
Perla Filippini Italy
Yinan Li China
Kavitha S. Rao United States
Dulan B. Gunasekara United States
Anna Laskowska Poland
Roger R. Draheim United Kingdom
Martin Meyer Germany
Min Wan relative to Jagat Kumar Roy India Jagat Kumar Roy's profile →
Citations per field
00.5×5.3×
Jagat Kumar Roy · 1×
Citations per year

Countries citing papers authored by Min Wan

Since Specialization
Citations

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

Fields of papers citing papers by Min Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20241
4 202311
5 20234
6 202369
7 20230
8 202211
9 20221
10 201968
11 201951
12
IS BUSINESS LINKAGE AFFECTING AGRICULTURAL ADVISORY SERVICES
20178
13 20168
14 2015158
15 201515
16 20133
17 201343
18 20116
19 20101
20 2004107

About Min Wan

Min Wan is a scholar working on Endocrinology, Molecular Biology, Immunology, Cell Biology and Biophysics, having authored 24 papers that have together received 575 indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Cellular transport and secretion (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Ginseng Biological Effects and Applications (2 papers), RNA Interference and Gene Delivery (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Endocrinology (79 citations), Polymers and Plastics (96 citations), Bioengineering (29 citations), Immunology (107 citations) and Cell Biology (59 citations). Min Wan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Rongying Zhang, Zhenwei Wei, Lu Zhang, Zeming Zhang, Bei Liu, Tao Wan, Lei Li, Yuxin Mao, Marcus B. Smolka and Joseph P. Vogel. Their work appears in journals such as Small, eLife, Biotechnology and Applied Biochemistry, Scientific Reports and Nature 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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