George Caputa
Impact in
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- Immune cells in cancer
- Immune Cell Function and Interaction
- Phagocytosis and Immune Regulation
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- Lipid metabolism and biosynthesis
Papers in
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- Peroxisome Proliferator-Activated Receptors 2
- Signaling Pathways in Disease 1
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- Immune cells in cancer 4
- Immune Cell Function and Interaction 2
- Phagocytosis and Immune Regulation 1
- Co-authors
- Ângela Castoldi (4 shared papers)Edward J. Pearce (4 shared papers)Alanna M. Cameron (3 shared papers)Erika L. Pearce (3 shared papers)David E. Sanin (3 shared papers)Colin G. Nichols (2 shared papers)Ricard Masia (2 shared papers)Jean E. Schaffer (2 shared papers)
- Journals
- iScience (1 paper)Immunology and Cell Biology (1 paper)Channels (1 paper)Science Immunology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesGermanyBrazil
In The Last Decade
George Caputa
9 papers receiving 618 citations
Peers
Comparison fields: 5 of 105
- Immunology 214
- Biochemistry 41
- Biological Psychiatry 14
- Pathology and Forensic Medicine 86
- Molecular Biology 259
Countries citing papers authored by George Caputa
This map shows the geographic impact of George Caputa'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 George Caputa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Caputa more than expected).
Fields of papers citing papers by George Caputa
This network shows the impact of papers produced by George Caputa. 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 George Caputa. The network helps show where George Caputa may publish in the future.
Co-authors
The 25 scholars most cited alongside George Caputa, 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 | 2020 | 212 | |
| 2 | 2019 | 112 | |
| 3 | 2008 | 104 | |
| 4 | 2022 | 86 | |
| 5 | 2019 | 37 | |
| 6 | 2015 | 31 | |
| 7 | 2016 | 21 | |
| 8 | 2007 | 11 | |
| 9 | 2023 | 4 |
About George Caputa
George Caputa is a scholar working on Molecular Biology, Immunology, Pathology and Forensic Medicine, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 618 indexed citations. Recurring topics across this work include Immune cells in cancer (4 papers), Cardiac Ischemia and Reperfusion (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Immune Cell Function and Interaction (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), MicroRNA in disease regulation (1 paper), Signaling Pathways in Disease (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Immunology (214 citations), Biochemistry (41 citations), Biological Psychiatry (14 citations), Pathology and Forensic Medicine (86 citations) and Molecular Biology (259 citations). George Caputa has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Ângela Castoldi, Edward J. Pearce, Alanna M. Cameron, Erika L. Pearce, David E. Sanin, Colin G. Nichols, Ricard Masia, Jean E. Schaffer, Fabian Hässler and Nisha Rana. Their work appears in journals such as iScience, Immunology and Cell Biology, Channels, Science Immunology and Nature Communications.
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.