Ke Lin
Impact in
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
- Immunology top 5%
- Immunodeficiency and Autoimmune Disorders
Papers in
- Genetics 31
- Chronic Lymphocytic Leukemia Research 31
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- PI3K/AKT/mTOR signaling in cancer 5
- 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)Leukemia (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Ke Lin
69 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 106
- Genetics 868
- Immunology 702
- Pathology and Forensic Medicine 588
- Hematology 210
- Oncology 476
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 | 2020 | 194 | |
| 2 | 2002 | 186 | |
| 3 | 2002 | 170 | |
| 4 | 2018 | 129 | |
| 5 | 2012 | 119 | |
| 6 | 2001 | 104 | |
| 7 | 2005 | 99 | |
| 8 | 2015 | 91 | |
| 9 | 2004 | 74 | |
| 10 | 2011 | 70 | |
| 11 | 2006 | 69 | |
| 12 | 2001 | 69 | |
| 13 | 2007 | 67 | |
| 14 | 2009 | 59 | |
| 15 | 2013 | 55 | |
| 16 | 2013 | 53 | |
| 17 | 2022 | 53 | |
| 18 | 2022 | 49 | |
| 19 | 2005 | 48 | |
| 20 | 2020 | 47 |
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 2.4k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (31 papers), Lymphoma Diagnosis and Treatment (14 papers), Retinal and Macular Surgery (7 papers), Cancer-related Molecular Pathways (7 papers), Immunodeficiency and Autoimmune Disorders (7 papers), Immune Response and Inflammation (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Intraocular Surgery and Lenses (5 papers). The work is most often cited by research in Genetics (868 citations), Immunology (702 citations), Pathology and Forensic Medicine (588 citations), Hematology (210 citations) and Oncology (476 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, Weijian Huang and Zizhuo Zhao. Their work appears in journals such as Blood, British Journal of Haematology, Cancer Research, Leukemia and The Journal of Immunology.
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.