Min Lin

1.1k citations
55 papers · 892 · h-index 16

Impact in

    • Microbial infections and disease research
    • Aquaculture disease management and microbiota

Papers in

    • Advanced biosensing and bioanalysis techniques 9
    • RNA Interference and Gene Delivery 5
    • Microbial infections and disease research 12

Min Lin

48 papers receiving 847 citations

Peers

Min Lin
Comparison fields: 5 of 96
  • Microbiology 300
  • Immunology 205
  • Animal Science and Zoology 70
  • Parasitology 40
  • Inorganic Chemistry 78
Replace Nick Geukens with:
Nick Geukens Belgium
Brian J. Jordan United States
Tejabhiram Yadavalli United States
Xin Su China
Bo Kyeong Yoon Singapore
Ulrik Boas Denmark
Gregory A. Price United States
Shiying Zhu China
Miao Luo China
Qianfeng Xia China
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Citations per field
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Citations per year

Countries citing papers authored by Min Lin

Since Specialization
Citations

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

Fields of papers citing papers by Min Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200296
2 201987
3 198676
4 201060
5 199955
6 201443
7 198243
8 198242
9 201835
10 198235
11 198432
12
Bacterins and vaccines for the control of Mycoplasma gallisepticum.
198428
13 202128
14 201521
15 202018
16 198718
17 200115
18 201615
19 198415
20 200713

About Min Lin

Min Lin is a scholar working on Molecular Biology, Microbiology, Immunology, Epidemiology and Biomedical Engineering, having authored 55 papers that have together received 892 indexed citations. Recurring topics across this work include Microbial infections and disease research (12 papers), Advanced biosensing and bioanalysis techniques (9 papers), Aquaculture disease management and microbiota (8 papers), Herpesvirus Infections and Treatments (6 papers), RNA Interference and Gene Delivery (5 papers), Structural Analysis and Optimization (5 papers), Advanced Materials and Mechanics (3 papers) and Robotic Mechanisms and Dynamics (3 papers). The work is most often cited by research in Microbiology (300 citations), Immunology (205 citations), Animal Science and Zoology (70 citations), Parasitology (40 citations) and Inorganic Chemistry (78 citations). Min Lin has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include S. H. Kleven, Sharon Levisohn, Michael J. Dykstra, Lee Jia, Guonan Chen, Karl M. Kadish, Daniel J. Nurco, Mei‐Jin Li, Craig J. Medforth and Eric Van Caemelbecke. Their work appears in journals such as Avian Diseases, Chemical Communications, Molecules, Nano Today and Inorganic Chemistry.

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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