Meng Lin

514 citations
14 papers · 242 · h-index 9

Impact in

Papers in

    • Genetic Associations and Epidemiology 5
    • Genetic and phenotypic traits in livestock 4
    • Genetic Mapping and Diversity in Plants and Animals 3
    • Ion channel regulation and function 1
    • Connexins and lens biology 1

Meng Lin

14 papers receiving 239 citations

Peers

Meng Lin
Comparison fields: 5 of 73
  • Dermatology 47
  • Cell Biology 56
  • Genetics 90
  • Health Informatics 2
  • Nutrition and Dietetics 22
Replace Georgina A. Ankra-Badu with:
Georgina A. Ankra-Badu United States
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Hadar Israeli Israel
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Abdullah Abanmi Saudi Arabia
S. Guillet France
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Meng Lin relative to Georgina A. Ankra-Badu United States Georgina A. Ankra-Badu's profile →
Citations per field
00.5×6.8×
Georgina A. Ankra-Badu · 1×
Citations per year

Countries citing papers authored by Meng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Meng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2017102
2 202021
3 202120
4 201818
5 202117
6 201814
7 201314
8 202311
9 20168
10 20245
11 20244
12 20233
13 20223
14
Genetic variation of Bursaphelenchus xylophilus and B. mucronatus geographical isolates of China as shown by RAPDS.
19992

About Meng Lin

Meng Lin is a scholar working on Genetics, Molecular Biology, Cell Biology, Plant Science and Dermatology, having authored 14 papers that have together received 242 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Genetic and phenotypic traits in livestock (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Skin Protection and Aging (2 papers), melanin and skin pigmentation (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Ion channel regulation and function (1 paper) and Connexins and lens biology (1 paper). The work is most often cited by research in Dermatology (47 citations), Cell Biology (56 citations), Genetics (90 citations), Health Informatics (2 citations) and Nutrition and Dietetics (22 citations). Meng Lin has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Brenna M. Henn, Christopher R. Gignoux, Marlo Möller, Eileen G. Hoal, Cedric J. Werely, Alicia R. Martin, Justin W. Myrick, Julie M. Granka, Carlos D. Bustamante and Alexandra Sockell. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The Journal of Immunology, Human Molecular Genetics, Frontiers in Genetics and Macromolecular Bioscience.

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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