James Li
Impact in
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- CAR-T cell therapy research
- PARP inhibition in cancer therapy
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- CRISPR and Genetic Engineering
- DNA Repair Mechanisms
- RNA Interference and Gene Delivery
- Pluripotent Stem Cells Research
- Genomics and Chromatin Dynamics
Papers in
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- RNA modifications and cancer 4
- Epigenetics and DNA Methylation 4
- RNA Research and Splicing 3
- Oncology 12
- CAR-T cell therapy research 8
- Co-authors
- Michael C. Holmes (3 shared papers)Philip D. Gregory (3 shared papers)Yankun Gao (1 shared paper)Edward J. Rebar (2 shared papers)Peter J. McKinnon (1 shared paper)Sunnie Wong (2 shared papers)Deniz Simsek (1 shared paper)Erika Brunet (1 shared paper)
- Journals
- Blood (6 papers)The American Journal of Human Genetics (3 papers)Cancer Research (3 papers)JAMA Network Open (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United StatesChinaBritish Virgin Islands
In The Last Decade
James Li
35 papers receiving 686 citations
Peers
Comparison fields: 5 of 90
- Oncology 217
- Molecular Biology 474
- Biological Psychiatry 14
- Genetics 135
- Business and International Management 8
Countries citing papers authored by James Li
This map shows the geographic impact of James 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 James Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Li more than expected).
Fields of papers citing papers by James Li
This network shows the impact of papers produced by James 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 James Li. The network helps show where James Li may publish in the future.
Co-authors
The 25 scholars most cited alongside James 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 237 | |
| 2 | 2010 | 147 | |
| 3 | 2019 | 88 | |
| 4 | 2019 | 47 | |
| 5 | 2012 | 26 | |
| 6 | 2020 | 20 | |
| 7 | 2021 | 13 | |
| 8 | 2018 | 13 | |
| 9 | 2023 | 12 | |
| 10 | 2024 | 11 | |
| 11 | 2024 | 8 | |
| 12 | 2018 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2018 | 6 | |
| 15 | 2018 | 6 | |
| 16 | 2015 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2002 | 4 | |
| 20 | 2024 | 4 |
About James Li
James Li is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Immunology, having authored 39 papers that have together received 700 indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), BRCA gene mutations in cancer (4 papers), Genetic Associations and Epidemiology (4 papers), RNA modifications and cancer (4 papers), Epigenetics and DNA Methylation (4 papers), RNA Research and Splicing (3 papers), Biosimilars and Bioanalytical Methods (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Oncology (217 citations), Molecular Biology (474 citations), Biological Psychiatry (14 citations), Genetics (135 citations) and Business and International Management (8 citations). James Li has collaborated with scholars based in United States, China and British Virgin Islands. Frequent co-authors include Michael C. Holmes, Philip D. Gregory, Yankun Gao, Edward J. Rebar, Peter J. McKinnon, Sunnie Wong, Deniz Simsek, Erika Brunet, Sachin Katyal and Maria Jasin. Their work appears in journals such as Blood, The American Journal of Human Genetics, Cancer Research, JAMA Network Open and Nucleic Acids 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.