Karma Dacosta
Impact in
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
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- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Oncology 9
- CAR-T cell therapy research 4
- Cancer Immunotherapy and Biomarkers 4
- Cancer Cells and Metastasis 2
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- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Co-authors
- Charles O. Brown (3 shared papers)Keith E. Steele (4 shared papers)Rubén Cárdenes (2 shared papers)Gianluca Carlesso (2 shared papers)Tobias Wiestler (1 shared paper)Moritz Widmaier (1 shared paper)Tze Heng Tan (1 shared paper)Johannes Zimmermann (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Cancer Research (2 papers)The Journal of Immunology (1 paper)Journal of Histochemistry & Cytochemistry (1 paper)Reproductive Toxicology (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Karma Dacosta
12 papers receiving 154 citations
Peers
Comparison fields: 5 of 35
- Immunology 85
- Oncology 99
- Health Informatics 2
- Biophysics 7
- Physiology 5
Countries citing papers authored by Karma Dacosta
This map shows the geographic impact of Karma Dacosta'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 Karma Dacosta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karma Dacosta more than expected).
Fields of papers citing papers by Karma Dacosta
This network shows the impact of papers produced by Karma Dacosta. 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 Karma Dacosta. The network helps show where Karma Dacosta may publish in the future.
Co-authors
The 25 scholars most cited alongside Karma Dacosta, 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 | 2018 | 69 | |
| 2 | 2019 | 26 | |
| 3 | 2016 | 21 | |
| 4 | 2019 | 14 | |
| 5 | 2017 | 10 | |
| 6 | 2022 | 7 | |
| 7 | 2019 | 5 | |
| 8 | 2024 | 1 | |
| 9 | 2021 | 1 | |
| 10 | 2010 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2025 | 0 |
About Karma Dacosta
Karma Dacosta is a scholar working on Oncology, Immunology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 13 papers that have together received 157 indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Immunotherapy and Immune Responses (3 papers), Cancer Cells and Metastasis (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Diabetes and associated disorders (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Immunology (85 citations), Oncology (99 citations), Health Informatics (2 citations), Biophysics (7 citations) and Physiology (5 citations). Karma Dacosta has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Charles O. Brown, Keith E. Steele, Rubén Cárdenes, Gianluca Carlesso, Tobias Wiestler, Moritz Widmaier, Tze Heng Tan, Johannes Zimmermann, Jiping Zha and Ronald Herbst. Their work appears in journals such as Journal of Visualized Experiments, Cancer Research, The Journal of Immunology, Journal of Histochemistry & Cytochemistry and Reproductive Toxicology.
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.