Drew Pardoll
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
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- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
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- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 2
- Immune cells in cancer 1
- Oncology 2
- Cancer Immunotherapy and Biomarkers 1
- Cytokine Signaling Pathways and Interactions 1
- Co-authors
- Craig T. Jordan (1 shared paper)Gordon W. Wiegand (1 shared paper)William Matthews (1 shared paper)Ihor R. Lemischka (1 shared paper)Juan Ling Fu (2 shared papers)David Vasquez-Dunddel (1 shared paper)Emilia Albesiano (1 shared paper)Meghan B. Davis (1 shared paper)
- Journals
- Clinical Cancer Research (1 paper)European Journal of Immunology (1 paper)Nature Medicine (1 paper)Cancer Immunology Research (1 paper)iScience (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Drew Pardoll
7 papers receiving 574 citations
Drew Pardoll's Hit Papers
Peers
Comparison fields: 5 of 40
- Hematology 309
- Immunology 142
- Oncology 92
- Molecular Biology 120
- Developmental Neuroscience 4
Countries citing papers authored by Drew Pardoll
This map shows the geographic impact of Drew Pardoll'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 Drew Pardoll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Drew Pardoll more than expected).
Fields of papers citing papers by Drew Pardoll
This network shows the impact of papers produced by Drew Pardoll. 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 Drew Pardoll. The network helps show where Drew Pardoll may publish in the future.
Co-authors
The 25 scholars most cited alongside Drew Pardoll, 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 | A receptor tyrosine kinase specific to hematopoietic stem and progenitor cell-enriched populations Hit paper breakdown → | 1991 | 498 |
| 2 | 2011 | 56 | |
| 3 | 2011 | 35 | |
| 4 | 2018 | 23 | |
| 5 | 1992 | 1 | |
| 6 | 2004 | 1 | |
| 7 | 2005 | 1 | |
| 8 | 2016 | 0 | |
| 9 | 2025 | 0 | |
| 10 | 2026 | 0 |
About Drew Pardoll
Drew Pardoll is a scholar working on Immunology, Oncology, Genetics, Hematology and Cancer Research, having authored 10 papers that have together received 615 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (2 papers), Cancer Immunotherapy and Biomarkers (1 paper), Immune cells in cancer (1 paper), Virus-based gene therapy research (1 paper), NF-κB Signaling Pathways (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Hematology (309 citations), Immunology (142 citations), Oncology (92 citations), Molecular Biology (120 citations) and Developmental Neuroscience (4 citations). Drew Pardoll has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Craig T. Jordan, Gordon W. Wiegand, William Matthews, Ihor R. Lemischka, Juan Ling Fu, David Vasquez-Dunddel, Emilia Albesiano, Meghan B. Davis, Young Jin Kim and Heehyoung Lee. Their work appears in journals such as Clinical Cancer Research, European Journal of Immunology, Nature Medicine, Cancer Immunology Research and iScience.
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.