Daniel M. Corey
Impact in
- Immunology top 2%
- Immune cells in cancer
- Phagocytosis and Immune Regulation
- Invertebrate Immune Response Mechanisms
- Immunotherapy and Immune Responses
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Phagocytosis and Immune Regulation 3
- Invertebrate Immune Response Mechanisms 3
- Immunotherapy and Immune Responses 2
- Virology 2
- HIV Research and Treatment 2
- Co-authors
- Irving L. Weissman (7 shared papers)Rahul Sinha (4 shared papers)Jonathan M. Tsai (2 shared papers)Melissa N. McCracken (1 shared paper)Roy L. Maute (1 shared paper)Andrew J. Connolly (1 shared paper)Gregor Hütter (1 shared paper)Ben W. Dulken (1 shared paper)
- Journals
- Nature (2 papers)Blood (1 paper)Clinical Cancer Research (1 paper)Human Vaccines (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesIsraelItaly
In The Last Decade
Daniel M. Corey
14 papers receiving 2.3k citations
Daniel M. Corey's Hit Papers
Peers
Comparison fields: 5 of 93
- Immunology 918
- Oncology 807
- Genetics 70
- Paleontology 65
- Molecular Biology 419
Countries citing papers authored by Daniel M. Corey
This map shows the geographic impact of Daniel M. Corey'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 M. Corey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Corey more than expected).
Fields of papers citing papers by Daniel M. Corey
This network shows the impact of papers produced by Daniel M. Corey. 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 M. Corey. The network helps show where Daniel M. Corey may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel M. Corey, 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 | PD-1 expression by tumour-associated macrophages inhibits phagocytosis and tumour immunity Hit paper breakdown → | 2017 | 1872 |
| 2 | 2013 | 190 | |
| 3 | 2013 | 75 | |
| 4 | 2018 | 69 | |
| 5 | 2007 | 35 | |
| 6 | 2020 | 32 | |
| 7 | 2016 | 21 | |
| 8 | 2016 | 20 | |
| 9 | 2015 | 10 | |
| 10 | 2023 | 7 | |
| 11 | 2005 | 2 | |
| 12 | 2016 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2024 | 1 |
About Daniel M. Corey
Daniel M. Corey is a scholar working on Immunology, Virology, Oncology, Molecular Biology and Transplantation, having authored 14 papers that have together received 2.3k indexed citations. Recurring topics across this work include Phagocytosis and Immune Regulation (3 papers), CAR-T cell therapy research (3 papers), Invertebrate Immune Response Mechanisms (3 papers), Developmental Biology and Gene Regulation (3 papers), HIV Research and Treatment (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Immunotherapy and Immune Responses (2 papers) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Immunology (918 citations), Oncology (807 citations), Genetics (70 citations), Paleontology (65 citations) and Molecular Biology (419 citations). Daniel M. Corey has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Irving L. Weissman, Rahul Sinha, Jonathan M. Tsai, Melissa N. McCracken, Roy L. Maute, Andrew J. Connolly, Gregor Hütter, Ben W. Dulken, Benson M. George and Sydney R. Gordon. Their work appears in journals such as Nature, Blood, Clinical Cancer Research, Human Vaccines and PLoS ONE.
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.