Jonathan D. Curtis
- Immunology top 0.2%
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 6
- Immune cells in cancer 4
- Immune Response and Inflammation 3
- Immunotherapy and Immune Responses 2
- Cancer Research top 0.5%
- Cancer, Hypoxia, and Metabolism 3
- Oncology top 1%
- Biological Psychiatry top 5%
- Molecular Biology top 2%
- vaccines and immunoinformatics approaches 1
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- Diabetes and associated disorders 2
- Co-authors
- Erika L. PearceEdward J. PearceChih‐Hao ChangGerritje J. W. van der WindtDavid O’SullivanJing QiuMichael D. BuckStanley Ching‐Cheng Huang
- Cited by
- ImmunologyCancer ResearchOncology
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Jonathan D. Curtis
15 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Immunology 5.1k
- Cancer Research 1.9k
- Oncology 2.3k
- Biological Psychiatry 135
- Molecular Biology 2.8k
Countries citing papers authored by Jonathan D. Curtis
This map shows the geographic impact of Jonathan D. Curtis'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 Jonathan D. Curtis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan D. Curtis more than expected).
Fields of papers citing papers by Jonathan D. Curtis
This network shows the impact of papers produced by Jonathan D. Curtis. 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 Jonathan D. Curtis. The network helps show where Jonathan D. Curtis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan D. Curtis, 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 | 2022 | 86 | |
| 2 | 2021 | 29 | |
| 3 | 2020 | 95 | |
| 4 | Mitochondrial Dynamics Controls T Cell Fate through Metabolic Programmingbreakdown → | 2016 | 1041 |
| 5 | 2016 | 208 | |
| 6 | Metabolic Competition in the Tumor Microenvironment Is a Driver of Cancer Progressionbreakdown → | 2015 | 2297 |
| 7 | Memory CD8+ T Cells Use Cell-Intrinsic Lipolysis to Support the Metabolic Programming Necessary for Developmentbreakdown → | 2014 | 611 |
| 8 | 2014 | 81 | |
| 9 | Posttranscriptional Control of T Cell Effector Function by Aerobic Glycolysisbreakdown → | 2013 | 1623 |
| 10 | 2013 | 388 | |
| 11 | 2012 | 147 | |
| 12 | 2011 | 1 | |
| 13 | Mitochondrial Respiratory Capacity Is a Critical Regulator of CD8+ T Cell Memory Developmentbreakdown → | 2011 | 1150 |
| 14 | 2010 | 148 | |
| 15 | 2009 | 240 |
About Jonathan D. Curtis
Jonathan D. Curtis is a scholar working on Immunology, Cancer Research and Neurology, having authored 15 papers that have together received 8.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (6 papers), Immune cells in cancer (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Immune Response and Inflammation (3 papers), Diabetes and associated disorders (2 papers), Immunotherapy and Immune Responses (2 papers) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Immunology (5.1k citations), Cancer Research (1.9k citations) and Oncology (2.3k citations). Jonathan D. Curtis has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Erika L. Pearce, Edward J. Pearce, Chih‐Hao Chang, Gerritje J. W. van der Windt, David O’Sullivan, Jing Qiu, Michael D. Buck, Stanley Ching‐Cheng Huang, Qiongyu Chen and Bart Everts. Their work appears in journals such as The Journal of Immunology, Immunity, Cell, Nature Medicine and Science Immunology.
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.