Ming‐Der Lin

882 citations
37 papers · 668 · h-index 15

Impact in

Papers in

    • Zebrafish Biomedical Research Applications 3
    • RNA Research and Splicing 4
    • Developmental Biology and Gene Regulation 3
    • Insect Resistance and Genetics 3

Ming‐Der Lin

33 papers receiving 661 citations

Peers

Ming‐Der Lin
Comparison fields: 5 of 99
  • Aging 14
  • Molecular Medicine 37
  • Molecular Biology 401
  • Microbiology 32
  • Neurology 34
Replace Yuehong Wu with:
Yuehong Wu China
Mou‐Chieh Kao Taiwan
Fatemeh Safari Iran
Benno Kuropka Germany
Narae Bae United States
Raul Salinas United States
Mitchell T. Butler United States
Dachao Tang China
Gregor Meiß Germany
Ming‐Der Lin relative to Yuehong Wu China Yuehong Wu's profile →
Citations per field
00.5×2×2.8×
Yuehong Wu · 1×
Citations per year

Countries citing papers authored by Ming‐Der Lin

Since Specialization
Citations

This map shows the geographic impact of Ming‐Der 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‐Der 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‐Der Lin more than expected).

Fields of papers citing papers by Ming‐Der Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200674
2 200871
3 202165
4 201258
5 200942
6 201641
7 200832
8 202130
9 201329
10 202224
11 201323
12 201821
13 202119
14 201816
15 202015
16 202214
17 201214
18 201913
19 202013
20 202010

About Ming‐Der Lin

Ming‐Der Lin is a scholar working on Cell Biology, Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics and Insect Science, having authored 37 papers that have together received 668 indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (5 papers), RNA Research and Splicing (4 papers), Developmental Biology and Gene Regulation (3 papers), Vector-Borne Animal Diseases (3 papers), Plant and animal studies (3 papers), Insect Resistance and Genetics (3 papers), Zebrafish Biomedical Research Applications (3 papers) and Diamond and Carbon-based Materials Research (2 papers). The work is most often cited by research in Aging (14 citations), Molecular Medicine (37 citations), Molecular Biology (401 citations), Microbiology (32 citations) and Neurology (34 citations). Ming‐Der Lin has collaborated with scholars based in Taiwan, United States and Philippines. Frequent co-authors include Tze-Bin Chou, Shih‐Jung Fan, W. Siang Hsu, Sarah Faith Newbury, Huey‐Jenn Chiang, Han‐Jung Lee, Betty Revon Liu, Nien‐Tsung Lin, Xinfu Jiao and Megerditch Kiledjian. Their work appears in journals such as International Journal of Molecular Sciences, Developmental Biology, Scientific Reports, Insects and PLoS ONE.

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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