James Li
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- PARP inhibition in cancer therapy
-
- CRISPR and Genetic Engineering
- DNA Repair Mechanisms
- RNA Interference and Gene Delivery
- Pluripotent Stem Cells Research
- Viral Infectious Diseases and Gene Expression in Insects
Papers in
-
- Epigenetics and DNA Methylation 3
- Renal and related cancers 2
- Kruppel-like factors research 2
- Oncology 9
- CAR-T cell therapy research 8
- Co-authors
- Philip D. Gregory (3 shared papers)Michael C. Holmes (3 shared papers)Edward J. Rebar (2 shared papers)Sunnie Wong (2 shared papers)Maria Jasin (1 shared paper)Sachin Katyal (1 shared paper)Erika Brunet (1 shared paper)Peter J. McKinnon (1 shared paper)
- Journals
- Blood (6 papers)Cancer Research (3 papers)The American Journal of Human Genetics (3 papers)Nucleic Acids Research (2 papers)JAMA Network Open (2 papers)
- Partner nations
- United StatesChinaFinland
In The Last Decade
James Li
37 papers receiving 714 citations
Peers
Comparison fields: 5 of 89
- Oncology 211
- Molecular Biology 455
- Genetics 126
- Biological Psychiatry 10
- Aging 7
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 | 239 | |
| 2 | 2010 | 148 | |
| 3 | 2019 | 90 | |
| 4 | 2019 | 48 | |
| 5 | 2012 | 26 | |
| 6 | 2020 | 20 | |
| 7 | 2021 | 15 | |
| 8 | 2023 | 14 | |
| 9 | 2018 | 14 | |
| 10 | 2024 | 12 | |
| 11 | 2024 | 10 | |
| 12 | 2018 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2018 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2015 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2020 | 5 |
About James Li
James Li is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Immunology, having authored 39 papers that have together received 727 indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), Epigenetics and DNA Methylation (3 papers), Biosimilars and Bioanalytical Methods (3 papers), Cancer-related molecular mechanisms research (3 papers), BRCA gene mutations in cancer (3 papers), Renal and related cancers (2 papers), Kruppel-like factors research (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Oncology (211 citations), Molecular Biology (455 citations), Genetics (126 citations), Biological Psychiatry (10 citations) and Aging (7 citations). James Li has collaborated with scholars based in United States, China and Finland. Frequent co-authors include Philip D. Gregory, Michael C. Holmes, Edward J. Rebar, Sunnie Wong, Maria Jasin, Sachin Katyal, Erika Brunet, Peter J. McKinnon, Lei Zhang and Yankun Gao. Their work appears in journals such as Blood, Cancer Research, The American Journal of Human Genetics, Nucleic Acids Research and JAMA Network Open.
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.