Ching‐Ling Lin

1.7k citations
39 papers · 802 · h-index 17

Impact in

Papers in

Ching‐Ling Lin

36 papers receiving 780 citations

Peers

Ching‐Ling Lin
Comparison fields: 5 of 132
  • Endocrinology, Diabetes and Metabolism 175
  • Health, Toxicology and Mutagenesis 85
  • Developmental and Educational Psychology 77
  • Behavioral Neuroscience 17
  • Human-Computer Interaction 22
Replace Sukho Lee with:
Sukho Lee United States
Р. И. Айзман Russia
Dominique Willems Belgium
Emma Hamilton Australia
Hao Liang China
Hyun Kyoung Kim South Korea
Helen E. Ritchie Australia
Frantis̆ek Bartos̆ Netherlands
Heather S. Hipp United States
Ching‐Ling Lin relative to Sukho Lee United States Sukho Lee's profile →
Citations per field
00.5×11×
Sukho Lee · 1×
Citations per year

Countries citing papers authored by Ching‐Ling Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Ling Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997111
2 201574
3 200954
4 201153
5 201943
6 201238
7 201735
8 201631
9 201729
10 201827
11 201326
12 202125
13 201024
14 201223
15 202121
16 201819
17 201917
18 201316
19 199715
20 201614

About Ching‐Ling Lin

Ching‐Ling Lin is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Health, Toxicology and Mutagenesis, Surgery and Pathology and Forensic Medicine, having authored 39 papers that have together received 802 indexed citations. Recurring topics across this work include Diabetes Management and Education (8 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Diabetes Management and Research (3 papers), Diabetes Treatment and Management (3 papers), Cancer Mechanisms and Therapy (2 papers), Chronic Disease Management Strategies (2 papers) and Cardiac Valve Diseases and Treatments (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (175 citations), Health, Toxicology and Mutagenesis (85 citations), Developmental and Educational Psychology (77 citations), Behavioral Neuroscience (17 citations) and Human-Computer Interaction (22 citations). Ching‐Ling Lin has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Ta-Jen Wu, Li‐Chi Huang, Pai C. Kao, Nai‐Siang Jiang, Dwaine Machacek, Koun‐Tem Sun, Kai‐Wen Hsu, Chun‐Yu Lin, Chia‐Hwa Lee and Rupesh S. Devan. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Public Health, International Journal of Environmental Research and Public Health, The Science of The Total Environment and Diabetes Research and Clinical Practice.

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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