Keith Schutsky
Impact in
- Behavioral Neuroscience top 10%
- Oncology top 10%
- CAR-T cell therapy research
Papers in
- Oncology 8
- CAR-T cell therapy research 5
- Pancreatic and Hepatic Oncology Research 2
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- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 2
- Co-authors
- Steven Thomas (4 shared papers)Ming Ouyang (3 shared papers)David E. Modrak (2 shared papers)Thomas M. Cardillo (2 shared papers)David V. Gold (2 shared papers)Rachel C. Lynn (3 shared papers)Daniel J. Powell (4 shared papers)Mathilde Poussin (3 shared papers)
- Journals
- Molecular Therapy (2 papers)Journal of Neuroscience (2 papers)Neuroscience (1 paper)Oncotarget (1 paper)Leukemia (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Keith Schutsky
14 papers receiving 525 citations
Peers
Comparison fields: 5 of 70
- Behavioral Neuroscience 41
- Oncology 259
- Virology 32
- Cellular and Molecular Neuroscience 94
- Immunology 103
Countries citing papers authored by Keith Schutsky
This map shows the geographic impact of Keith Schutsky'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 Keith Schutsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Schutsky more than expected).
Fields of papers citing papers by Keith Schutsky
This network shows the impact of papers produced by Keith Schutsky. 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 Keith Schutsky. The network helps show where Keith Schutsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith Schutsky, 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 | 2016 | 99 | |
| 2 | 2016 | 90 | |
| 3 | 2011 | 51 | |
| 4 | 2004 | 44 | |
| 5 | 2011 | 43 | |
| 6 | 2015 | 39 | |
| 7 | Low-dose radioimmunotherapy ((90)Y-PAM4) combined with gemcitabine for the treatment of experimental pancreatic cancer. | 2003 | 35 |
| 8 | 2011 | 31 | |
| 9 | 2016 | 28 | |
| 10 | 2012 | 25 | |
| 11 | 2012 | 21 | |
| 12 | 2014 | 17 | |
| 13 | 2015 | 6 | |
| 14 | 2015 | 1 |
About Keith Schutsky
Keith Schutsky is a scholar working on Oncology, Immunology, Cellular and Molecular Neuroscience, Genetics and Behavioral Neuroscience, having authored 14 papers that have together received 530 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Virus-based gene therapy research (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Stress Responses and Cortisol (3 papers), Immune Cell Function and Interaction (3 papers), Rabies epidemiology and control (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Behavioral Neuroscience (41 citations), Oncology (259 citations), Virology (32 citations), Cellular and Molecular Neuroscience (94 citations) and Immunology (103 citations). Keith Schutsky has collaborated with scholars based in United States and Italy. Frequent co-authors include Steven Thomas, Ming Ouyang, David E. Modrak, Thomas M. Cardillo, David V. Gold, Rachel C. Lynn, Daniel J. Powell, Mathilde Poussin, Jenessa B. Smith and Dimiter S. Dimitrov. Their work appears in journals such as Molecular Therapy, Journal of Neuroscience, Neuroscience, Oncotarget and Leukemia.
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.