Jane-Ming Lin

732 citations
26 papers · 546 · h-index 12

Impact in

Papers in

Jane-Ming Lin

26 papers receiving 531 citations

Peers

Jane-Ming Lin
Comparison fields: 5 of 70
  • Ophthalmology 342
  • Radiology, Nuclear Medicine and Imaging 247
  • Clinical Biochemistry 43
  • Nephrology 25
  • Immunology 60
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Stewart Lake Australia
Xiongze Zhang China
Laura Lorés‐Motta Netherlands
Min‐Lee Chang United States
Maria Schäche Australia
Nihal Demircan Türkiye
Chunkui Shao United States
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Ling Zhi Heng United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Jane-Ming Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jane-Ming Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011106
2 200072
3 200869
4 200861
5 201643
6 200829
7 200822
8 201219
9 201219
10 201813
11 201212
12 202011
13 201910
14 201810
15
Single-nucleotide polymorphisms in chromosome 3p14.1- 3p14.2 are associated with susceptibility of type 2 diabetes with cataract.
20109
16 20189
17 20047
18 20056
19 20055
20 20133

About Jane-Ming Lin

Jane-Ming Lin is a scholar working on Ophthalmology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics and Epidemiology, having authored 26 papers that have together received 546 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (15 papers), Glaucoma and retinal disorders (6 papers), Retinal Imaging and Analysis (5 papers), Retinal Development and Disorders (4 papers), Advanced Glycation End Products research (3 papers), Corneal surgery and disorders (3 papers), Corneal Surgery and Treatments (2 papers) and Ophthalmology and Visual Impairment Studies (2 papers). The work is most often cited by research in Ophthalmology (342 citations), Radiology, Nuclear Medicine and Imaging (247 citations), Clinical Biochemistry (43 citations), Nephrology (25 citations) and Immunology (60 citations). Jane-Ming Lin has collaborated with scholars based in Taiwan, Germany and China. Frequent co-authors include Yi-Yu Tsai, Fuu‐Jen Tsai, Hui-Ju Lin, Chang‐Hai Tsai, Lei Wan, Yu-Chuen Huang, Sung-Huei Tseng, Yushin Tsai, Cheng-Chun Lee and Shih‐Yin Chen. Their work appears in journals such as Journal of Refractive Surgery, American Journal of Ophthalmology, Investigative Ophthalmology & Visual Science, Journal of Cataract & Refractive Surgery and International Journal of Environmental Research and Public Health.

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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