Chi‐Hsin Lin

30 papers receiving 389 citations

Peers

Chi‐Hsin Lin
Comparison fields: 5 of 93
  • Structural Biology 13
  • Biological Psychiatry 9
  • Developmental Neuroscience 15
  • Neurology 28
  • Surfaces, Coatings and Films 25
Replace Gemma A.J. Kuijpers with:
Gemma A.J. Kuijpers United States
Alison N. Killilea United States
Takayuki Satoh Japan
Koning Shen United States
Amelia Weber Hall United States
Azumi Yoshimura Japan
Fiona Chan United Kingdom
Cynthia Page United States
Tianming Lin United States
Yagmur Turgay Switzerland
Chi‐Hsin Lin relative to Gemma A.J. Kuijpers United States Gemma A.J. Kuijpers's profile →
Citations per field
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Gemma A.J. Kuijpers · 1×
Citations per year

Countries citing papers authored by Chi‐Hsin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Hsin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200844
2 201937
3 202033
4 201630
5 202128
6 201327
7 199224
8 199622
9 201718
10 201814
11 201614
12 201913
13 201313
14 201710
15 20028
16 20218
17 20098
18 20237
19 20206
20 20204

About Chi‐Hsin Lin

Chi‐Hsin Lin is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Plant Science, Atomic and Molecular Physics, and Optics and Neurology, having authored 32 papers that have together received 402 indexed citations. Recurring topics across this work include Plant Physiology and Cultivation Studies (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Hormonal Regulation and Hypertension (3 papers), Transportation Planning and Optimization (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Electron and X-Ray Spectroscopy Techniques (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers) and Growth and nutrition in plants (2 papers). The work is most often cited by research in Structural Biology (13 citations), Biological Psychiatry (9 citations), Developmental Neuroscience (15 citations), Neurology (28 citations) and Surfaces, Coatings and Films (25 citations). Chi‐Hsin Lin has collaborated with scholars based in Taiwan, Japan and Hong Kong. Frequent co-authors include Shih‐Ping Cheng, Yuan‐Ching Chang, Ming‐Jen Chen, Chien‐Liang Liu, Chi‐Mei Hsueh, Chen Shan-na, Jiunn-Chang Lin, Chien‐Liang Liu, Wen‐Chien Huang and Ming-Nan Chien. Their work appears in journals such as Physical Review B, HortScience, Head & Neck, European Journal of Neuroscience and Frontiers in Endocrinology.

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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