Daniel W. Lee

11.1k citations
60 papers · 4.7k indexed · 3 hit papers · h-index 26

Impact in

  • Oncology top 0.5%
    • CAR-T cell therapy research
  • Immunology top 2%
    • Immune Cell Function and Interaction

Papers in

Daniel W. Lee

58 papers receiving 4.6k citations

Hit Papers

Long-Term Follow-Up of CD19-CAR T-Cell Therapy in Children and Young Adults With B-ALL 2021 · 200 citations
200201220262016202150010001.5k

Peers

Daniel W. Lee
Comparison fields: 5 of 104
  • Oncology 3.4k
  • Immunology 937
  • Genetics 437
  • Genetics 971
  • Hematology 382
Replace Nirav N. Shah with:
Nirav N. Shah United States
Chrystal U. Louis United States
Shaun O’Brien United States
Judith Feucht Germany
Djordje Atanackovic Germany
Michael Boyiadzis United States
Luca Fumagalli Italy
Jennifer N. Brudno United States
Paola Vacca Italy
Jinny Park South Korea
Daniel W. Lee relative to Nirav N. Shah United States Nirav N. Shah's profile →
Citations per field
00.5×6.8×
Nirav N. Shah · 1×
Citations per year

Countries citing papers authored by Daniel W. Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Daniel W. Lee Line = papers co-authored together Daniel W. Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202412
3 20232
4 202225
5 202226
6 202147
7 202112
8 202135
9
Long-Term Follow-Up of CD19-CAR T-Cell Therapy in Children and Young Adults With B-ALL
Hit paper breakdown →
2021200
10 20187
11 2018102
12 201755
13 201690
14 201512
15 201387
16 20119
17 199953
18 1997220
19 199110
20 199014

About Daniel W. Lee

Daniel W. Lee is a scholar working on Oncology, Endocrine and Autonomic Systems, Neurology, Public Health, Environmental and Occupational Health and Nutrition and Dietetics, 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), Virus-based gene therapy research (6 papers), Biochemical Analysis and Sensing Techniques (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 Malaysia. Frequent co-authors include Crystal L. Mackall, Stephan A. Grupp, Michael C. Jensen, Chrystal U. Louis, David Porter, Rebecca Gardner, Nabil Ahmed, 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.

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