Keming Lin
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Connective tissue disorders research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
-
- Wnt/β-catenin signaling in development and cancer 2
- TGF-β signaling in diseases 2
- Pluripotent Stem Cells Research 1
- Oncology 7
- CAR-T cell therapy research 5
- Saffron Plant Research Studies 1
- Co-authors
- Frank P. Luyten (4 shared papers)Shouwen Wang (2 shared papers)Malcolm Moos (2 shared papers)Marie Krinks (1 shared paper)J Cervenka (1 shared paper)J. Terrig Thomas (1 shared paper)Maurício Camargo (1 shared paper)Qiangsong Wang (3 shared papers)
- Journals
- Blood (4 papers)Genomics (2 papers)Biochemical and Biophysical Research Communications (1 paper)Advanced Science (1 paper)Pharmacological Research (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Keming Lin
25 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 128
- Hematology 223
- Genetics 158
- Developmental Biology 32
- Molecular Biology 961
- Rheumatology 136
Countries citing papers authored by Keming Lin
This map shows the geographic impact of Keming 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 Keming Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keming Lin more than expected).
Fields of papers citing papers by Keming Lin
This network shows the impact of papers produced by Keming 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 Keming Lin. The network helps show where Keming Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Keming 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 449 | |
| 2 | 1996 | 331 | |
| 3 | 2015 | 217 | |
| 4 | 1997 | 213 | |
| 5 | 2012 | 118 | |
| 6 | 1983 | 70 | |
| 7 | 2012 | 46 | |
| 8 | 2020 | 43 | |
| 9 | 2023 | 37 | |
| 10 | 2006 | 32 | |
| 11 | 2020 | 30 | |
| 12 | 1995 | 27 | |
| 13 | 2023 | 25 | |
| 14 | 2023 | 23 | |
| 15 | 1996 | 13 | |
| 16 | 2024 | 13 | |
| 17 | 2024 | 9 | |
| 18 | 2001 | 6 | |
| 19 | 2007 | 6 | |
| 20 | 2014 | 4 |
About Keming Lin
Keming Lin is a scholar working on Molecular Biology, Oncology, Hematology, Immunology and Cancer Research, having authored 26 papers that have together received 1.7k indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Acute Myeloid Leukemia Research (3 papers), Cancer Genomics and Diagnostics (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), TGF-β signaling in diseases (2 papers), Media, Gender, and Advertising (1 paper), Pluripotent Stem Cells Research (1 paper) and Saffron Plant Research Studies (1 paper). The work is most often cited by research in Hematology (223 citations), Genetics (158 citations), Developmental Biology (32 citations), Molecular Biology (961 citations) and Rheumatology (136 citations). Keming Lin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Frank P. Luyten, Shouwen Wang, Malcolm Moos, Marie Krinks, J Cervenka, J. Terrig Thomas, Maurício Camargo, Qiangsong Wang, Jan Kitajewski and Martin A. Julius. Their work appears in journals such as Blood, Genomics, Biochemical and Biophysical Research Communications, Advanced Science and Pharmacological Research.
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.