Chia-Lei Lin
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Psoriasis: Treatment and Pathogenesis
Papers in
-
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 3
-
- Hematopoietic Stem Cell Transplantation 6
- Co-authors
- Иван Тодоров (9 shared papers)Defu Zeng (12 shared papers)Stephen J. Forman (10 shared papers)Fouad Kandeel (8 shared papers)Dongchang Zhao (6 shared papers)Tangsheng Yi (4 shared papers)Chunyan Zhang (3 shared papers)Ying Chen (1 shared paper)
- Journals
- Blood (7 papers)Proceedings of the National Academy of Sciences (2 papers)Diabetes (2 papers)PLoS ONE (1 paper)Hormone Research in Paediatrics (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Chia-Lei Lin
17 papers receiving 655 citations
Peers
Comparison fields: 5 of 79
- Hematology 208
- Immunology 345
- Toxicology 15
- Genetics 34
- Genetics 90
Countries citing papers authored by Chia-Lei Lin
This map shows the geographic impact of Chia-Lei 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 Chia-Lei Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia-Lei Lin more than expected).
Fields of papers citing papers by Chia-Lei Lin
This network shows the impact of papers produced by Chia-Lei 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 Chia-Lei Lin. The network helps show where Chia-Lei Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chia-Lei 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 | 2008 | 180 | |
| 2 | 2008 | 112 | |
| 3 | 2008 | 79 | |
| 4 | 2009 | 54 | |
| 5 | 2007 | 41 | |
| 6 | 2016 | 40 | |
| 7 | 2008 | 32 | |
| 8 | 2013 | 28 | |
| 9 | 2007 | 24 | |
| 10 | 2011 | 22 | |
| 11 | 2014 | 19 | |
| 12 | 2010 | 13 | |
| 13 | 2012 | 8 | |
| 14 | 2007 | 5 | |
| 15 | 2008 | 4 | |
| 16 | 2006 | 3 | |
| 17 | 2014 | 3 | |
| 18 | 2007 | 0 |
About Chia-Lei Lin
Chia-Lei Lin is a scholar working on Immunology, Hematology, Oncology, Surgery and Molecular Biology, having authored 18 papers that have together received 667 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Immune Cell Function and Interaction (6 papers), Pancreatic function and diabetes (4 papers), CAR-T cell therapy research (4 papers), Histone Deacetylase Inhibitors Research (3 papers), T-cell and B-cell Immunology (3 papers), Birth, Development, and Health (3 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Hematology (208 citations), Immunology (345 citations), Toxicology (15 citations), Genetics (34 citations) and Genetics (90 citations). Chia-Lei Lin has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Иван Тодоров, Defu Zeng, Stephen J. Forman, Fouad Kandeel, Dongchang Zhao, Tangsheng Yi, Chunyan Zhang, Ying Chen, Thomas LeBon and Omar I. Vivar. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Diabetes, PLoS ONE and Hormone Research in Paediatrics.
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.