J.T. Greene
Impact in
-
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
-
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
-
- Melanoma and MAPK Pathways 2
- Protein Kinase Regulation and GTPase Signaling 2
- Ubiquitin and proteasome pathways 1
- Oncology 4
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Douglas Yee (1 shared paper)Catherine M. Albert (1 shared paper)Carl V. Hamby (1 shared paper)Xin Huang (1 shared paper)Fred Moy (1 shared paper)David M. Loeb (1 shared paper)Xianzheng Zhou (1 shared paper)Tanya S. Freedman (7 shared papers)
- Journals
- eLife (2 papers)Science Advances (2 papers)Journal of Leukocyte Biology (1 paper)Current Opinion in Immunology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesPoland
In The Last Decade
J.T. Greene
10 papers receiving 174 citations
Peers
Comparison fields: 5 of 39
- Oncology 88
- Immunology 60
- Genetics 23
- Pulmonary and Respiratory Medicine 33
- Pathology and Forensic Medicine 18
Countries citing papers authored by J.T. Greene
This map shows the geographic impact of J.T. Greene'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 J.T. Greene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.T. Greene more than expected).
Fields of papers citing papers by J.T. Greene
This network shows the impact of papers produced by J.T. Greene. 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 J.T. Greene. The network helps show where J.T. Greene may publish in the future.
Co-authors
The 25 scholars most cited alongside J.T. Greene, 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 | 2015 | 89 | |
| 2 | 2018 | 38 | |
| 3 | 2021 | 16 | |
| 4 | 2022 | 7 | |
| 5 | 2024 | 6 | |
| 6 | 2018 | 6 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2019 | 2 | |
| 11 | 2025 | 0 |
About J.T. Greene
J.T. Greene is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Computational Theory and Mathematics, having authored 11 papers that have together received 176 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (3 papers), NF-κB Signaling Pathways (2 papers), Melanoma and MAPK Pathways (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Computational Drug Discovery Methods (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Immune Response and Inflammation (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Oncology (88 citations), Immunology (60 citations), Genetics (23 citations), Pulmonary and Respiratory Medicine (33 citations) and Pathology and Forensic Medicine (18 citations). J.T. Greene has collaborated with scholars based in United States and Poland. Frequent co-authors include Douglas Yee, Catherine M. Albert, Carl V. Hamby, Xin Huang, Fred Moy, David M. Loeb, Xianzheng Zhou, Tanya S. Freedman, Deepali Sachdev and Christoph Rader. Their work appears in journals such as eLife, Science Advances, Journal of Leukocyte Biology, Current Opinion in Immunology 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.