Ming S. Lin

1.0k citations
43 papers · 783 · h-index 13

Impact in

Papers in

    • Genomics and Chromatin Dynamics 8
    • DNA Repair Mechanisms 7
    • DNA and Nucleic Acid Chemistry 6
    • Genomic variations and chromosomal abnormalities 10
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 7
    • Mesenchymal stem cell research 7

Ming S. Lin

41 papers receiving 710 citations

Peers

Ming S. Lin
Comparison fields: 5 of 92
  • Genetics 336
  • Pediatrics, Perinatology and Child Health 123
  • Molecular Biology 435
  • Cancer Research 84
  • Plant Science 216
Replace Malka Ginsburg with:
Malka Ginsburg Israel
Alex Bortvin United States
C. H. Ockey United Kingdom
P A Weller United Kingdom
Rangsun Parnpai Thailand
Michiko Hirose Japan
Simon Quenneville Switzerland
Andrea W. Page United States
Yixuan Wang China
B. Nicoletti Italy
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Citations per field
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Citations per year

Countries citing papers authored by Ming S. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ming S. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977144
2 197470
3 197467
4 197662
5 198958
6 198142
7 199839
8 199136
9 198628
10 198527
11 197522
12 201714
13 198313
14 197912
15 199511
16 202110
17 198210
18 19849
19 20199
20 20218

About Ming S. Lin

Ming S. Lin is a scholar working on Molecular Biology, Genetics, Plant Science, Genetics and Pediatrics, Perinatology and Child Health, having authored 43 papers that have together received 783 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (10 papers), Chromosomal and Genetic Variations (9 papers), Genomics and Chromatin Dynamics (8 papers), DNA Repair Mechanisms (7 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers), Mesenchymal stem cell research (7 papers), DNA and Nucleic Acid Chemistry (6 papers) and Prenatal Screening and Diagnostics (6 papers). The work is most often cited by research in Genetics (336 citations), Pediatrics, Perinatology and Child Health (123 citations), Molecular Biology (435 citations), Cancer Research (84 citations) and Plant Science (216 citations). Ming S. Lin has collaborated with scholars based in United States, China and Nigeria. Frequent co-authors include O.S. Alfi, Richard L. Davidson, David E. Comings, Atsuko Fujimoto, S.A. Latt, Miriam G. Wilson, Park S. Gerald, Stuart Schwartz, William N.P. Herbert and John M. Graham. Their work appears in journals such as Human Genetics, Experimental Cell Research, Chromosoma, Biotechnology Journal and The FASEB Journal.

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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