Daniel Li
Impact in
Papers in ⓘ
- Co-authors
- David G. Maloney (8 shared papers)Cameron J. Turtle (7 shared papers)Stanley R. Riddell (7 shared papers)Laïla‐Aïcha Hanafi (5 shared papers)Kevin A. Hay (6 shared papers)Sindhu Cherian (3 shared papers)Xueyan Chen (3 shared papers)Juliane Gust (4 shared papers)
- Journals
- Blood (4 papers)Journal of Alzheimer s Disease (2 papers)Cancer Discovery (1 paper)Nature Communications (1 paper)Journal of Medical Virology (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Daniel Li
23 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Oncology 2.8k
- Genetics 814
- Immunology 614
- Biomedical Engineering 863
- Hematology 209
Countries citing papers authored by Daniel Li
This map shows the geographic impact of Daniel 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 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 Li more than expected).
Fields of papers citing papers by Daniel Li
This network shows the impact of papers produced by Daniel 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 Li. The network helps show where Daniel Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Endothelial Activation and Blood–Brain Barrier Disruption in Neurotoxicity after Adoptive Immunotherapy with CD19 CAR-T Cells Hit paper breakdown → | 2017 | 948 |
| 2 | Kinetics and biomarkers of severe cytokine release syndrome after CD19 chimeric antigen receptor–modified T-cell therapy Hit paper breakdown → | 2017 | 775 |
| 3 | Immunotherapy of non-Hodgkin’s lymphoma with a defined ratio of CD8 + and CD4 + CD19-specific chimeric antigen receptor–modified T cells Hit paper breakdown → | 2016 | 741 |
| 4 | Infectious complications of CD19-targeted chimeric antigen receptor–modified T-cell immunotherapy Hit paper breakdown → | 2017 | 391 |
| 5 | 2019 | 133 | |
| 6 | 2016 | 78 | |
| 7 | 2018 | 46 | |
| 8 | 2017 | 45 | |
| 9 | 2020 | 23 | |
| 10 | 2022 | 23 | |
| 11 | 2023 | 22 | |
| 12 | 2022 | 18 | |
| 13 | 2021 | 16 | |
| 14 | 2017 | 15 | |
| 15 | 2022 | 14 | |
| 16 | 2022 | 14 | |
| 17 | 2023 | 12 | |
| 18 | 2012 | 8 | |
| 19 | 2016 | 8 | |
| 20 | 2022 | 7 |
About Daniel Li
Daniel Li is a scholar working on Oncology, Virology, Genetics, Developmental Neuroscience and Otorhinolaryngology, having authored 24 papers that have together received 3.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (10 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Biosimilars and Bioanalytical Methods (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Hemophilia Treatment and Research (1 paper), HIV Research and Treatment (1 paper) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Oncology (2.8k citations), Genetics (814 citations), Immunology (614 citations), Biomedical Engineering (863 citations) and Hematology (209 citations). Daniel Li has collaborated with scholars based in United States, Canada and China. Frequent co-authors include David G. Maloney, Cameron J. Turtle, Stanley R. Riddell, Laïla‐Aïcha Hanafi, Kevin A. Hay, Sindhu Cherian, Xueyan Chen, Juliane Gust, Susanna Harju-Baker and Junmei Chen. Their work appears in journals such as Blood, Journal of Alzheimer s Disease, Cancer Discovery, Nature Communications and Journal of Medical 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.