Chi‐Hsin Lin

29 papers receiving 356 citations

Peers

Chi‐Hsin Lin
Comparison fields: 5 of 93
  • Structural Biology 12
  • Neurology 30
  • Developmental Neuroscience 15
  • Cancer Research 52
  • Biological Psychiatry 8
Replace Gemma A.J. Kuijpers with:
Gemma A.J. Kuijpers United States
Alison N. Killilea United States
Mingyue Jin China
Amelia Weber Hall United States
Gergő Horváth Hungary
G. C. Budd United States
Koning Shen United States
Arun Kumar Kondadi Germany
Kimberley L. Alexander Australia
Ruth A. Singer United States
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 200842
2 201936
3 202032
4 201630
5 202126
6 199223
7 201323
8 199620
9 201716
10 201813
11 201613
12 201312
13 201911
14 20028
15 20178
16 20237
17 20097
18 20216
19 20205
20 20194

About Chi‐Hsin Lin

Chi‐Hsin Lin is a scholar working on Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism, Plant Science and Atomic and Molecular Physics, and Optics, having authored 32 papers that have together received 369 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Plant Physiology and Cultivation Studies (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Hormonal Regulation and Hypertension (3 papers), Virus-based gene therapy research (2 papers), Cancer-related Molecular Pathways (2 papers), Transportation Planning and Optimization (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Structural Biology (12 citations), Neurology (30 citations), Developmental Neuroscience (15 citations), Cancer Research (52 citations) and Biological Psychiatry (8 citations). Chi‐Hsin Lin has collaborated with scholars based in Taiwan, Japan and Australia. Frequent co-authors include Shih‐Ping Cheng, Yuan‐Ching Chang, Ming‐Jen Chen, Chen Shan-na, Chien‐Liang Liu, Chi‐Mei Hsueh, Chien‐Liang Liu, Jiunn-Chang Lin, Min Tseng and Ming-Nan Chien. Their work appears in journals such as Physical Review B, Investigational New Drugs, Cellular and Molecular Neurobiology, Brain Research and European Journal of Neuroscience.

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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