Daniel Tavares
Impact in
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- HER2/EGFR in Cancer Research
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
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- Monoclonal and Polyclonal Antibodies Research
Papers in
- Oncology 7
- HER2/EGFR in Cancer Research 4
- CAR-T cell therapy research 3
- Peptidase Inhibition and Analysis 2
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Kathleen R. Whiteman (3 shared papers)Olga Ab (3 shared papers)John M. Lambert (4 shared papers)Thomas Chittenden (3 shared papers)Victor S. Goldmacher (2 shared papers)Laura M. Bartle (2 shared papers)Robert J. Lutz (3 shared papers)Jan Pinkas (2 shared papers)
- Journals
- Cancer Research (2 papers)Molecular Cancer Therapeutics (1 paper)Blood (1 paper)Frontiers in Neuroscience (1 paper)mAbs (1 paper)
- Partner nations
- United StatesJapanFrance
In The Last Decade
Daniel Tavares
10 papers receiving 307 citations
Peers
Comparison fields: 5 of 53
- Oncology 165
- Radiology, Nuclear Medicine and Imaging 113
- Reproductive Medicine 40
- Immunology 38
- Neurology 26
Countries citing papers authored by Daniel Tavares
This map shows the geographic impact of Daniel Tavares'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 Daniel Tavares with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Tavares more than expected).
Fields of papers citing papers by Daniel Tavares
This network shows the impact of papers produced by Daniel Tavares. 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 Daniel Tavares. The network helps show where Daniel Tavares may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Tavares, 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 | 174 | |
| 2 | 2019 | 33 | |
| 3 | 2020 | 29 | |
| 4 | 2023 | 23 | |
| 5 | 2022 | 22 | |
| 6 | 2013 | 12 | |
| 7 | 1999 | 10 | |
| 8 | 2008 | 4 | |
| 9 | 2011 | 4 | |
| 10 | 2015 | 1 |
About Daniel Tavares
Daniel Tavares is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Genetics and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 312 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), HER2/EGFR in Cancer Research (4 papers), CAR-T cell therapy research (3 papers), Peptidase Inhibition and Analysis (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper), Muscle Physiology and Disorders (1 paper) and 14-3-3 protein interactions (1 paper). The work is most often cited by research in Oncology (165 citations), Radiology, Nuclear Medicine and Imaging (113 citations), Reproductive Medicine (40 citations), Immunology (38 citations) and Neurology (26 citations). Daniel Tavares has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Kathleen R. Whiteman, Olga Ab, John M. Lambert, Thomas Chittenden, Victor S. Goldmacher, Laura M. Bartle, Robert J. Lutz, Jan Pinkas, Gillian Payne and Rajeeva Singh. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Blood, Frontiers in Neuroscience and mAbs.
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.