Daniel H. Li
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Virus-based gene therapy research
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- CAR-T cell therapy research
Papers in
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- Galectins and Cancer Biology 2
- Immune Response and Inflammation 2
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
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- Hepatitis B Virus Studies 3
- Co-authors
- John M. Cullen (4 shared papers)Cecilia C.S. Yeung (1 shared paper)Cameron J. Turtle (1 shared paper)Aesha Vakil (1 shared paper)Rachel N. Steinmetz (1 shared paper)Mazyar Shadman (1 shared paper)David G. Maloney (1 shared paper)Tinh-Doan Phi (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)Gene (2 papers)Blood (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)Virology (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Daniel H. Li
12 papers receiving 412 citations
Daniel H. Li's Hit Papers
Peers
Comparison fields: 5 of 65
- Genetics 101
- Oncology 194
- Pathology and Forensic Medicine 90
- Immunology 99
- Hematology 46
Countries citing papers authored by Daniel H. Li
This map shows the geographic impact of Daniel H. 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 Daniel H. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel H. Li more than expected).
Fields of papers citing papers by Daniel H. Li
This network shows the impact of papers produced by Daniel H. 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 Daniel H. Li. The network helps show where Daniel H. Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel H. 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
| # | Work | ||
|---|---|---|---|
| 1 | Feasibility and efficacy of CD19-targeted CAR T cells with concurrent ibrutinib for CLL after ibrutinib failure Hit paper breakdown → | 2020 | 227 |
| 2 | 2009 | 38 | |
| 3 | 2006 | 29 | |
| 4 | 2001 | 29 | |
| 5 | 2000 | 19 | |
| 6 | 2020 | 17 | |
| 7 | 2005 | 16 | |
| 8 | 2004 | 13 | |
| 9 | 2019 | 13 | |
| 10 | 1996 | 10 | |
| 11 | 2022 | 5 | |
| 12 | 2007 | 1 |
About Daniel H. Li
Daniel H. Li is a scholar working on Immunology, Epidemiology, Infectious Diseases, Animal Science and Zoology and Immunology and Allergy, having authored 12 papers that have together received 417 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (3 papers), Galectins and Cancer Biology (2 papers), Animal Virus Infections Studies (2 papers), Immune Response and Inflammation (2 papers), Hepatitis C virus research (2 papers), T-cell and B-cell Immunology (2 papers), Food Allergy and Anaphylaxis Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Genetics (101 citations), Oncology (194 citations), Pathology and Forensic Medicine (90 citations), Immunology (99 citations) and Hematology (46 citations). Daniel H. Li has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include John M. Cullen, Cecilia C.S. Yeung, Cameron J. Turtle, Aesha Vakil, Rachel N. Steinmetz, Mazyar Shadman, David G. Maloney, Tinh-Doan Phi, Alexandre V. Hirayama and Kevin A. Hay. Their work appears in journals such as The Journal of Immunology, Gene, Blood, Antimicrobial Agents and Chemotherapy and Virology.
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.