Ke Lin
Impact in
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
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- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 30
- Chronic Lymphocytic Leukemia Research 30
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- Glycosylation and Glycoproteins Research 4
- Co-authors
- John C. Cawley (8 shared papers)Andrew R. Pettitt (21 shared papers)Mirko Zuzel (8 shared papers)Paul D. Sherrington (7 shared papers)Kathleen J. Till (6 shared papers)Joseph R. Slupsky (8 shared papers)Zoltán Mátrai (3 shared papers)Wu Luo (9 shared papers)
- Journals
- Blood (9 papers)British Journal of Haematology (4 papers)Cancer Research (4 papers)The Journal of Immunology (2 papers)International Immunopharmacology (2 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Ke Lin
70 papers receiving 2.5k citations
Ke Lin's Hit Papers
Peers
Comparison fields: 5 of 104
- Genetics 835
- Pathology and Forensic Medicine 513
- Immunology 622
- Hematology 194
- Oncology 430
Countries citing papers authored by Ke Lin
This map shows the geographic impact of Ke 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 Ke Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Lin more than expected).
Fields of papers citing papers by Ke Lin
This network shows the impact of papers produced by Ke 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 Ke Lin. The network helps show where Ke Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Celastrol Attenuates Angiotensin II–Induced Cardiac Remodeling by Targeting STAT3 Hit paper breakdown → | 2020 | 201 |
| 2 | 2002 | 186 | |
| 3 | 2002 | 169 | |
| 4 | 2018 | 132 | |
| 5 | 2012 | 122 | |
| 6 | 2001 | 104 | |
| 7 | 2005 | 99 | |
| 8 | 2015 | 95 | |
| 9 | 2004 | 74 | |
| 10 | 2011 | 71 | |
| 11 | 2001 | 69 | |
| 12 | 2006 | 68 | |
| 13 | 2007 | 67 | |
| 14 | 2009 | 59 | |
| 15 | 2022 | 56 | |
| 16 | 2013 | 55 | |
| 17 | 2013 | 53 | |
| 18 | 2022 | 53 | |
| 19 | 2020 | 50 | |
| 20 | 2005 | 48 |
About Ke Lin
Ke Lin is a scholar working on Genetics, Molecular Biology, Immunology, Pathology and Forensic Medicine and Oncology, having authored 72 papers that have together received 2.5k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (30 papers), Lymphoma Diagnosis and Treatment (12 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Cancer-related Molecular Pathways (6 papers), Retinal and Macular Surgery (5 papers), Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Chronic Myeloid Leukemia Treatments (4 papers). The work is most often cited by research in Genetics (835 citations), Pathology and Forensic Medicine (513 citations), Immunology (622 citations), Hematology (194 citations) and Oncology (430 citations). Ke Lin has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include John C. Cawley, Andrew R. Pettitt, Mirko Zuzel, Paul D. Sherrington, Kathleen J. Till, Joseph R. Slupsky, Zoltán Mátrai, Wu Luo, Jinquan Wang and Gaojun Wu. Their work appears in journals such as Blood, British Journal of Haematology, Cancer Research, The Journal of Immunology and International Immunopharmacology.
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.