Daniel W. Lee
Impact in
- Oncology top 0.5%
- CAR-T cell therapy research
- Immunology top 2%
- Immune Cell Function and Interaction
Papers in
- Oncology 42
- CAR-T cell therapy research 42
-
- Viral Infectious Diseases and Gene Expression in Insects 8
- Co-authors
- Crystal L. Mackall (10 shared papers)Stephan A. Grupp (3 shared papers)Michael C. Jensen (2 shared papers)Chrystal U. Louis (1 shared paper)David Porter (1 shared paper)Nabil Ahmed (1 shared paper)Rebecca Gardner (2 shared papers)Crystal L. Mackall (18 shared papers)
- Journals
- Blood (15 papers)Blood Advances (4 papers)Transplantation and Cellular Therapy (4 papers)Regulatory Peptides (3 papers)Cancer Research (3 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Daniel W. Lee
58 papers receiving 4.6k citations
Daniel W. Lee's Hit Papers
Peers
Comparison fields: 5 of 104
- Oncology 3.4k
- Immunology 937
- Genetics 437
- Genetics 971
- Hematology 382
Countries citing papers authored by Daniel W. Lee
This map shows the geographic impact of Daniel W. Lee'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 W. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. Lee more than expected).
Fields of papers citing papers by Daniel W. Lee
This network shows the impact of papers produced by Daniel W. Lee. 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 W. Lee. The network helps show where Daniel W. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel W. Lee, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Current concepts in the diagnosis and management of cytokine release syndrome Hit paper breakdown → | 2014 | 1927 |
| 2 | Anti-CD22–chimeric antigen receptors targeting B-cell precursor acute lymphoblastic leukemia Hit paper breakdown → | 2012 | 440 |
| 3 | 2016 | 293 | |
| 4 | 1997 | 220 | |
| 5 | Long-Term Follow-Up of CD19-CAR T-Cell Therapy in Children and Young Adults With B-ALL Hit paper breakdown → | 2021 | 200 |
| 6 | 2017 | 111 | |
| 7 | 2018 | 102 | |
| 8 | 2012 | 99 | |
| 9 | 2016 | 97 | |
| 10 | 2016 | 90 | |
| 11 | 2013 | 87 | |
| 12 | 1997 | 85 | |
| 13 | 2013 | 83 | |
| 14 | 2018 | 58 | |
| 15 | 2017 | 55 | |
| 16 | 1999 | 53 | |
| 17 | 2021 | 47 | |
| 18 | 2012 | 47 | |
| 19 | 2000 | 47 | |
| 20 | 2000 | 41 |
About Daniel W. Lee
Daniel W. Lee is a scholar working on Oncology, Molecular Biology, Public Health, Environmental and Occupational Health, Electrical and Electronic Engineering and Neurology, having authored 60 papers that have together received 4.7k indexed citations. Recurring topics across this work include CAR-T cell therapy research (42 papers), Acute Lymphoblastic Leukemia research (12 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers), Neuroblastoma Research and Treatments (7 papers), Biochemical Analysis and Sensing Techniques (6 papers), Virus-based gene therapy research (6 papers), Immune Cell Function and Interaction (5 papers) and Silicon Carbide Semiconductor Technologies (5 papers). The work is most often cited by research in Oncology (3.4k citations), Immunology (937 citations), Genetics (437 citations), Genetics (971 citations) and Hematology (382 citations). Daniel W. Lee has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Crystal L. Mackall, Stephan A. Grupp, Michael C. Jensen, Chrystal U. Louis, David Porter, Nabil Ahmed, Rebecca Gardner, Crystal L. Mackall, Nirali N. Shah and Terry J. Fry. Their work appears in journals such as Blood, Blood Advances, Transplantation and Cellular Therapy, Regulatory Peptides and Cancer 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.