Py‐Yu Lin
Impact in
- Transplantation top 1%
- Renal Transplantation Outcomes and Treatments
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
Papers in
- Genetics 178
- Genetic Associations and Epidemiology 178
- Forensic and Genetic Research 34
- Mesenchymal stem cell research 2
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- Renal Transplantation Outcomes and Treatments 61
- Co-authors
- Kuo‐Liang Yang (182 shared papers)Chi‐Cheng Li (47 shared papers)Shee‐Ping Chen (2 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)
- Journals
- Human Immunology (3 papers)HLA (172 papers)Cellular & Molecular Biology Letters (1 paper)Cytotherapy (1 paper)Tzu Chi Medical Journal (3 papers)
- Partner nations
- TaiwanKuwaitPhilippines
In The Last Decade
Py‐Yu Lin
173 papers receiving 553 citations
Peers
Comparison fields: 5 of 36
- Transplantation 349
- Hematology 388
- Genetics 400
- Genetics 67
- Developmental Neuroscience 10
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 19 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 182 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 80 | |
| 2 | 2009 | 58 | |
| 3 | 2010 | 50 | |
| 4 | 2012 | 35 | |
| 5 | 2011 | 33 | |
| 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 | 2019 | 3 |
About Py‐Yu Lin
Py‐Yu Lin is a scholar working on Genetics, Transplantation, Hematology, Immunology and Pharmacology, having authored 182 papers that have together received 575 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (178 papers), Renal Transplantation Outcomes and Treatments (61 papers), Hematopoietic Stem Cell Transplantation (38 papers), Forensic and Genetic Research (34 papers), Immune Cell Function and Interaction (31 papers), vaccines and immunoinformatics approaches (11 papers), Drug-Induced Adverse Reactions (4 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Transplantation (349 citations), Hematology (388 citations), Genetics (400 citations), Genetics (67 citations) and Developmental Neuroscience (10 citations). Py‐Yu Lin has collaborated with scholars based in Taiwan, Kuwait and Philippines. Frequent co-authors include Kuo‐Liang Yang, Chi‐Cheng Li, Shee‐Ping Chen, Shu‐Hui Wen, Cheng‐Yoong Pang, Chia‐Hsin Liao, Meifang Chen, Ya-Hui Lin, Nezih Cereb and Meng‐Jiun Lai. Their work appears in journals such as Human Immunology, HLA, Cellular & Molecular Biology Letters, Cytotherapy 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.