Kun‐Han Lin
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Cell Biology top 10%
- Cellular transport and secretion
Papers in
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- Lipid Membrane Structure and Behavior 6
- Connexins and lens biology 2
- Pluripotent Stem Cells Research 2
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- Neuroscience and Neuropharmacology Research 6
- Neuroscience and Neural Engineering 2
- Co-authors
- Holger Taschenberger (7 shared papers)Erwin Neher (6 shared papers)Noa Lipstein (6 shared papers)Nils Brose (5 shared papers)Takeshi Sakaba (2 shared papers)Benjamin H. Cooper (1 shared paper)JeongSeop Rhee (1 shared paper)Uri Ashery (1 shared paper)
- Journals
- Neuron (2 papers)Proceedings of the National Academy of Sciences (2 papers)eLife (1 paper)Assay and Drug Development Technologies (1 paper)The Journal of Physiology (1 paper)
- Partner nations
- GermanySingaporeUnited States
In The Last Decade
Kun‐Han Lin
11 papers receiving 340 citations
Peers
Comparison fields: 5 of 50
- Cellular and Molecular Neuroscience 208
- Cell Biology 133
- Molecular Biology 215
- Physiology 13
- Sensory Systems 13
Countries citing papers authored by Kun‐Han Lin
This map shows the geographic impact of Kun‐Han 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 Kun‐Han Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun‐Han Lin more than expected).
Fields of papers citing papers by Kun‐Han Lin
This network shows the impact of papers produced by Kun‐Han 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 Kun‐Han Lin. The network helps show where Kun‐Han Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun‐Han Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 126 | |
| 2 | 2014 | 64 | |
| 3 | 2022 | 41 | |
| 4 | 2020 | 37 | |
| 5 | 2021 | 35 | |
| 6 | 2012 | 14 | |
| 7 | 2016 | 13 | |
| 8 | 2024 | 7 | |
| 9 | 2025 | 5 | |
| 10 | 2022 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2026 | 0 |
About Kun‐Han Lin
Kun‐Han Lin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Cardiology and Cardiovascular Medicine and Ophthalmology, having authored 12 papers that have together received 344 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Lipid Membrane Structure and Behavior (6 papers), Cellular transport and secretion (6 papers), Neuroscience and Neural Engineering (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Connexins and lens biology (2 papers), Pluripotent Stem Cells Research (2 papers) and Glaucoma and retinal disorders (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (208 citations), Cell Biology (133 citations), Molecular Biology (215 citations), Physiology (13 citations) and Sensory Systems (13 citations). Kun‐Han Lin has collaborated with scholars based in Germany, Singapore and United States. Frequent co-authors include Holger Taschenberger, Erwin Neher, Noa Lipstein, Nils Brose, Takeshi Sakaba, Benjamin H. Cooper, JeongSeop Rhee, Uri Ashery, Nicola Strenzke and Bogdan Amuzescu. Their work appears in journals such as Neuron, Proceedings of the National Academy of Sciences, eLife, Assay and Drug Development Technologies and The Journal of Physiology.
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.