Tõnu Vanakesa
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
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- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
- CAR-T cell therapy research
Papers in
- Oncology 5
- Cancer Immunotherapy and Biomarkers 4
- Lung Cancer Research Studies 1
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- Lung Cancer Treatments and Mutations 3
- Lung Cancer Diagnosis and Treatment 2
- Tracheal and airway disorders 1
- Co-authors
- Peter Goldstraw (1 shared paper)Jubrail Dahabreh (4 shared papers)M. Zieliński (4 shared papers)Jacek Jassem (2 shared papers)Johan Vansteenkiste (3 shared papers)Vincent Brichard (2 shared papers)A. Linder (2 shared papers)Frédéric Lehmann (1 shared paper)
In The Last Decade
Tõnu Vanakesa
10 papers receiving 333 citations
Peers
Comparison fields: 5 of 34
- Immunology 205
- Oncology 195
- Pulmonary and Respiratory Medicine 67
- Neurology 15
- Molecular Biology 69
Countries citing papers authored by Tõnu Vanakesa
This map shows the geographic impact of Tõnu Vanakesa'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 Tõnu Vanakesa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tõnu Vanakesa more than expected).
Fields of papers citing papers by Tõnu Vanakesa
This network shows the impact of papers produced by Tõnu Vanakesa. 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 Tõnu Vanakesa. The network helps show where Tõnu Vanakesa may publish in the future.
Co-authors
The 25 scholars most cited alongside Tõnu Vanakesa, 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 | 2013 | 246 | |
| 2 | 2014 | 38 | |
| 3 | 1999 | 31 | |
| 4 | 2019 | 8 | |
| 5 | 2018 | 3 | |
| 6 | 2007 | 3 | |
| 7 | MAGRIT phase III trial in adjuvant NSCLC: MAGE-A3 gene expression frequency on the first 2150 patients screened and demographics of first patients randomized | 2009 | 2 |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2011 | 1 |
About Tõnu Vanakesa
Tõnu Vanakesa is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Pathology and Forensic Medicine and Neurology, having authored 10 papers that have together received 334 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Lung Cancer Treatments and Mutations (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), Esophageal Cancer Research and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Cancer Research and Treatments (1 paper), Lung Cancer Research Studies (1 paper) and Tracheal and airway disorders (1 paper). The work is most often cited by research in Immunology (205 citations), Oncology (195 citations), Pulmonary and Respiratory Medicine (67 citations), Neurology (15 citations) and Molecular Biology (69 citations). Tõnu Vanakesa has collaborated with scholars based in Estonia, Poland and France. Frequent co-authors include Peter Goldstraw, Jubrail Dahabreh, M. Zieliński, Jacek Jassem, Johan Vansteenkiste, Vincent Brichard, A. Linder, Frédéric Lehmann, R. Bonnet and Bernward Passlick. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Lung Cancer, Journal of Thoracic Oncology and European Journal of Cardio-Thoracic Surgery.
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.