Hsi‐Hsien Lin
Impact in
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research
- Immunology top 5%
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- Immune Response and Inflammation
Papers in
-
- Cell Adhesion Molecules Research 17
-
- Neuropeptides and Animal Physiology 16
- Co-authors
- Martin StaceySiamon GordonJörg HamannGin-Wen ChangMark J. KwakkenbosSimon YonaAndrew J. McKnightJeffrey M. Bergelson
- Journals
- Journal of Biological Chemistry (4 papers)Biomedical Journal (3 papers)Advances in experimental medicine and biology (3 papers)Scientific Reports (2 papers)Journal of Leukocyte Biology (2 papers)
- Partner nations
- TaiwanUnited KingdomNetherlands
In The Last Decade
Hsi‐Hsien Lin
53 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 113
- Immunology and Allergy 391
- Immunology 823
- Cellular and Molecular Neuroscience 560
- Molecular Biology 1.5k
- Radiology, Nuclear Medicine and Imaging 362
Countries citing papers authored by Hsi‐Hsien Lin
This map shows the geographic impact of Hsi‐Hsien 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 Hsi‐Hsien Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsi‐Hsien Lin more than expected).
Fields of papers citing papers by Hsi‐Hsien Lin
This network shows the impact of papers produced by Hsi‐Hsien 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 Hsi‐Hsien Lin. The network helps show where Hsi‐Hsien Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsi‐Hsien 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2023 | 13 | |
| 5 | 2021 | 31 | |
| 6 | 2020 | 9 | |
| 7 | 2018 | 23 | |
| 8 | 2017 | 30 | |
| 9 | 2017 | 16 | |
| 10 | 2017 | 53 | |
| 11 | 2016 | 39 | |
| 12 | 2016 | 28 | |
| 13 | 2015 | 19 | |
| 14 | 2013 | 23 | |
| 15 | 2011 | 118 | |
| 16 | 2005 | 45 | |
| 17 | 2005 | 295 | |
| 18 | 2004 | 126 | |
| 19 | 2001 | 84 | |
| 20 | 2001 | 95 |
About Hsi‐Hsien Lin
Hsi‐Hsien Lin is a scholar working on Immunology and Allergy, Cellular and Molecular Neuroscience, Health Informatics, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 54 papers that have together received 2.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (26 papers), Cell Adhesion Molecules Research (17 papers), Neuropeptides and Animal Physiology (16 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), Immune Cell Function and Interaction (8 papers), Glycosylation and Glycoproteins Research (4 papers), Proteoglycans and glycosaminoglycans research (4 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Immunology and Allergy (391 citations), Immunology (823 citations), Cellular and Molecular Neuroscience (560 citations), Molecular Biology (1.5k citations) and Radiology, Nuclear Medicine and Imaging (362 citations). Hsi‐Hsien Lin has collaborated with scholars based in Taiwan, United Kingdom and Netherlands. Frequent co-authors include Martin Stacey, Siamon Gordon, Jörg Hamann, Gin-Wen Chang, Mark J. Kwakkenbos, Simon Yona, Andrew J. McKnight, Jeffrey M. Bergelson, Keith R. Solomon and Robert W. Finberg. Their work appears in journals such as Journal of Biological Chemistry, Biomedical Journal, Advances in experimental medicine and biology, Scientific Reports and Journal of Leukocyte Biology.
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.