Min-Ting Lin

745 citations
48 papers · 465 · h-index 13

Impact in

Papers in

Min-Ting Lin

47 papers receiving 457 citations

Peers

Min-Ting Lin
Comparison fields: 5 of 42
  • Genetics 103
  • Clinical Biochemistry 61
  • Cellular and Molecular Neuroscience 88
  • Nutrition and Dietetics 67
  • Molecular Biology 228
Replace Kei Miyanaka with:
Kei Miyanaka Japan
Marta Elena Roque Argentina
Ju Eun Oh South Korea
Wangwei Cai China
Ichiro Matsuda Japan
Shannon Chiang Australia
So Hee Ko South Korea
Xianglan Quan South Korea
Meerim K. Nurbaeva Germany
Thomas Hennessy United States
Min-Ting Lin relative to Kei Miyanaka Japan Kei Miyanaka's profile →
Citations per field
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Citations per year

Countries citing papers authored by Min-Ting Lin

Since Specialization
Citations

This map shows the geographic impact of Min-Ting 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-Ting 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-Ting Lin more than expected).

Fields of papers citing papers by Min-Ting Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200644
2 201342
3 200329
4 201627
5 201522
6 201319
7 202118
8 201617
9 202215
10 201715
11 201914
12 201812
13 200712
14 201511
15 201911
16 201611
17 202310
18 201810
19
[Genotype-phenotype correlation of patients with wilson disease in Chinese population].
20039
20 20198

About Min-Ting Lin

Min-Ting Lin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Clinical Biochemistry and Cardiology and Cardiovascular Medicine, having authored 48 papers that have together received 465 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (15 papers), Genetic Neurodegenerative Diseases (9 papers), Neurogenetic and Muscular Disorders Research (9 papers), Metabolism and Genetic Disorders (5 papers), Mitochondrial Function and Pathology (4 papers), Trace Elements in Health (3 papers), RNA Research and Splicing (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Genetics (103 citations), Clinical Biochemistry (61 citations), Cellular and Molecular Neuroscience (88 citations), Nutrition and Dietetics (67 citations) and Molecular Biology (228 citations). Min-Ting Lin has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Shen-Xing Murong, Wan‐Jin Chen, Ning Wang, Zhi‐Ying Wu, Zhiqiang Wang, Ning Wang, Ning Wang, Lin Feng, Ming Jin and Qi‐Jie Zhang. Their work appears in journals such as Clinica Chimica Acta, Neuromuscular Disorders, Journal of Child Neurology, Orphanet Journal of Rare Diseases and Neurology.

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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