Hsun‐Hsun Lin
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Endocrine and Autonomic Systems top 10%
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Chih‐Chia LaiNae J. DunHong‐Yi ChiuSu‐Ying WuTed H. ChiuSukkum Ngullie ChangMei‐Chi ChangS.L. Dun
- Topics
- Neuroscience and Neuropharmacology Research (16 papers)Neuroscience of respiration and sleep (10 papers)Ion channel regulation and function (6 papers)
- Cited by
- Endocrine and Autonomic SystemsCellular and Molecular NeuroscienceDevelopmental Neuroscience
- Partner nations
- TaiwanUnited StatesCzechia
In The Last Decade
Hsun‐Hsun Lin
28 papers receiving 350 citations
Peers
Comparison fields: 5 of 61
- Cellular and Molecular Neuroscience 213
- Physiology 115
- Endocrine and Autonomic Systems 106
- Molecular Biology 103
- Cardiology and Cardiovascular Medicine 64
Countries citing papers authored by Hsun‐Hsun Lin
This map shows the geographic impact of Hsun‐Hsun 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 Hsun‐Hsun Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsun‐Hsun Lin more than expected).
Fields of papers citing papers by Hsun‐Hsun Lin
This network shows the impact of papers produced by Hsun‐Hsun 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 Hsun‐Hsun Lin. The network helps show where Hsun‐Hsun Lin may publish in the future.
Co-authorship network of co-authors of Hsun‐Hsun Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Hsun‐Hsun Lin. A scholar is included among the top collaborators of Hsun‐Hsun Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hsun‐Hsun Lin. Hsun‐Hsun Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 9 | |
| 5 | 7 | |
| 6 | 13 | |
| 7 | 22 | |
| 8 | 28 | |
| 9 | 24 | |
| 10 | 19 | |
| 11 | 2 | |
| 12 | 13 | |
| 13 | 26 | |
| 14 | 13 | |
| 15 | 10 | |
| 16 | 16 | |
| 17 | 15 | |
| 18 | 20 | |
| 19 | 15 | |
| 20 | 47 |
About Hsun‐Hsun Lin
Hsun‐Hsun Lin is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 28 papers that have together received 357 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Neuroscience of respiration and sleep (10 papers) and Ion channel regulation and function (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (106 citations), Cellular and Molecular Neuroscience (213 citations) and Developmental Neuroscience (19 citations). Hsun‐Hsun Lin has collaborated with scholars based in Taiwan, United States and Czechia. Frequent co-authors include Chih‐Chia Lai, Nae J. Dun, Hong‐Yi Chiu, Su‐Ying Wu, Ted H. Chiu, Sukkum Ngullie Chang, Mei‐Chi Chang, S.L. Dun, Alois Saria and Ling-Ling Hwang. Their work appears in journals such as Brain Research, International Journal of Molecular Sciences and 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.