Py‐Yu Lin
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune responses and vaccinations
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
Papers in
- Immunology 176
- T-cell and B-cell Immunology 176
- Immune Cell Function and Interaction 165
- Immunotherapy and Immune Responses 122
- Immunodeficiency and Autoimmune Disorders 13
- Immune Response and Inflammation 4
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Kuo‐Liang Yang (176 shared papers)Chi‐Cheng Li (47 shared papers)Shu‐Hui Wen (2 shared papers)Cheng‐Yoong Pang (2 shared papers)Chia‐Hsin Liao (1 shared paper)Meifang Chen (1 shared paper)Ya-Hui Lin (1 shared paper)Meng‐Jiun Lai (1 shared paper)
- Journals
- HLA (170 papers)Human Immunology (3 papers)Cytotherapy (1 paper)Cellular & Molecular Biology Letters (1 paper)Tzu Chi Medical Journal (4 papers)
- Partner nations
- TaiwanGermanyUnited States
In The Last Decade
Py‐Yu Lin
164 papers receiving 540 citations
Peers
Comparison fields: 5 of 43
- Immunology 404
- Transplantation 41
- Genetics 76
- Hematology 57
- Developmental Neuroscience 15
Countries citing papers authored by Py‐Yu Lin
This map shows the geographic impact of Py‐Yu 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 Py‐Yu Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Py‐Yu Lin more than expected).
Fields of papers citing papers by Py‐Yu Lin
This network shows the impact of papers produced by Py‐Yu 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 Py‐Yu Lin. The network helps show where Py‐Yu Lin may publish in the future.
Co-authors
The 18 scholars most cited alongside Py‐Yu 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
Showing the 20 most-cited of 180 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 80 | |
| 2 | 2009 | 53 | |
| 3 | 2010 | 48 | |
| 4 | 2012 | 33 | |
| 5 | 2011 | 32 | |
| 6 | 2019 | 5 | |
| 7 | 2020 | 5 | |
| 8 | 2019 | 4 | |
| 9 | 2019 | 4 | |
| 10 | 2019 | 4 | |
| 11 | 2019 | 4 | |
| 12 | 2019 | 4 | |
| 13 | 2019 | 4 | |
| 14 | 2019 | 4 | |
| 15 | 2019 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2019 | 4 | |
| 19 | 2019 | 4 | |
| 20 | 2020 | 3 |
About Py‐Yu Lin
Py‐Yu Lin is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Hematology and Genetics, having authored 180 papers that have together received 550 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (176 papers), Immune Cell Function and Interaction (165 papers), Immunotherapy and Immune Responses (122 papers), Immunodeficiency and Autoimmune Disorders (13 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Immune Response and Inflammation (4 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Immunology (404 citations), Transplantation (41 citations), Genetics (76 citations), Hematology (57 citations) and Developmental Neuroscience (15 citations). Py‐Yu Lin has collaborated with scholars based in Taiwan, Germany and United States. Frequent co-authors include Kuo‐Liang Yang, Chi‐Cheng Li, Shu‐Hui Wen, Cheng‐Yoong Pang, Chia‐Hsin Liao, Meifang Chen, Ya-Hui Lin, Meng‐Jiun Lai, Nezih Cereb and Shin-Yuan Chen. Their work appears in journals such as HLA, Human Immunology, Cytotherapy, Cellular & Molecular Biology Letters and Tzu Chi Medical Journal.
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.