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
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Immune Response and Inflammation 2
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- Hepatitis B Virus Studies 3
- Co-authors
- John M. Cullen (4 shared papers)Janaki Purushe (1 shared paper)Aesha Vakil (1 shared paper)Alexandre V. Hirayama (1 shared paper)Tinh-Doan Phi (1 shared paper)Stanley R. Riddell (1 shared paper)Alyssa Sheih (1 shared paper)Rachel N. Steinmetz (1 shared paper)
- Journals
- Gene (2 papers)The Journal of Immunology (2 papers)Antimicrobial Agents and Chemotherapy (1 paper)Blood (1 paper)European Journal of Immunology (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Daniel H. Li
12 papers receiving 424 citations
Daniel H. Li's Hit Papers
Peers
Comparison fields: 5 of 62
- Genetics 97
- Oncology 193
- Immunology and Allergy 27
- Pathology and Forensic Medicine 75
- Hepatology 32
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 | 234 |
| 2 | 2009 | 40 | |
| 3 | 2001 | 31 | |
| 4 | 2006 | 29 | |
| 5 | 2000 | 21 | |
| 6 | 2020 | 18 | |
| 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 Hepatology, having authored 12 papers that have together received 431 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (3 papers), Galectins and Cancer Biology (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Hepatitis C virus research (2 papers), Immune Response and Inflammation (2 papers), Animal Virus Infections Studies (2 papers) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Genetics (97 citations), Oncology (193 citations), Immunology and Allergy (27 citations), Pathology and Forensic Medicine (75 citations) and Hepatology (32 citations). Daniel H. Li has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include John M. Cullen, Janaki Purushe, Aesha Vakil, Alexandre V. Hirayama, Tinh-Doan Phi, Stanley R. Riddell, Alyssa Sheih, Rachel N. Steinmetz, David G. Maloney and Cameron J. Turtle. Their work appears in journals such as Gene, The Journal of Immunology, Antimicrobial Agents and Chemotherapy, Blood and European Journal of 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.