Chi-Ming Li
Impact in
- Molecular Biology top 10%
- Sphingolipid Metabolism and Signaling
- Renal and related cancers
- Epigenetics and DNA Methylation
- Wnt/β-catenin signaling in development and cancer
- Cell Biology top 10%
Papers in
-
- Renal and related cancers 4
- RNA and protein synthesis mechanisms 4
- Glycosylation and Glycoproteins Research 3
- Single-cell and spatial transcriptomics 3
- Oncology 8
- CAR-T cell therapy research 5
- Co-authors
- Benjamin Tycko (7 shared papers)Yasuhiro Funahashi (1 shared paper)Carrie J. Shawber (1 shared paper)Jan Kitajewski (1 shared paper)Edward H. Schuchman (5 shared papers)Konrad Sandhoff (4 shared papers)J. Koch (2 shared papers)Charles A. Powell (1 shared paper)
- Journals
- Genomics (4 papers)Scientific Reports (3 papers)Blood (2 papers)BMC Genomics (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Chi-Ming Li
45 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 1.1k
- Cell Biology 176
- Physiology 253
- Immunology 210
- Neurology 72
Countries citing papers authored by Chi-Ming Li
This map shows the geographic impact of Chi-Ming Li'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 Chi-Ming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi-Ming Li more than expected).
Fields of papers citing papers by Chi-Ming Li
This network shows the impact of papers produced by Chi-Ming Li. 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 Chi-Ming Li. The network helps show where Chi-Ming Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi-Ming Li, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 223 | |
| 2 | 1996 | 218 | |
| 3 | 2002 | 201 | |
| 4 | 2002 | 186 | |
| 5 | 1998 | 99 | |
| 6 | 2002 | 95 | |
| 7 | 2018 | 71 | |
| 8 | 2021 | 53 | |
| 9 | 2020 | 43 | |
| 10 | 2019 | 40 | |
| 11 | 2020 | 39 | |
| 12 | 2004 | 39 | |
| 13 | 2023 | 36 | |
| 14 | 2009 | 35 | |
| 15 | 2009 | 34 | |
| 16 | 1999 | 28 | |
| 17 | 2015 | 24 | |
| 18 | 2007 | 23 | |
| 19 | 2008 | 21 | |
| 20 | 2016 | 19 |
About Chi-Ming Li
Chi-Ming Li is a scholar working on Molecular Biology, Oncology, Immunology, Surgery and Genetics, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Renal and related cancers (4 papers), T-cell and B-cell Immunology (4 papers), RNA and protein synthesis mechanisms (4 papers), Glycosylation and Glycoproteins Research (3 papers), Single-cell and spatial transcriptomics (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Carbohydrate Chemistry and Synthesis (3 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Cell Biology (176 citations), Physiology (253 citations), Immunology (210 citations) and Neurology (72 citations). Chi-Ming Li has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Benjamin Tycko, Yasuhiro Funahashi, Carrie J. Shawber, Jan Kitajewski, Edward H. Schuchman, Konrad Sandhoff, J. Koch, Charles A. Powell, Orna Levran and Harshwardhan M. Thaker. Their work appears in journals such as Genomics, Scientific Reports, Blood, BMC Genomics and Frontiers in 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.