Suzanne E. Davis
Impact in
- Oncology top 1%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials
Papers in
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- Lung Cancer Treatments and Mutations 5
-
- Cancer Genomics and Diagnostics 2
- Co-authors
- Krishna V. Komanduri (1 shared paper)John de Groot (1 shared paper)Sattva Swarup Neelapu (1 shared paper)Sudhakar Tummala (1 shared paper)Alison M. Gulbis (1 shared paper)Jason R. Westin (1 shared paper)Yi Fan Lin (1 shared paper)Sherry Adkins (1 shared paper)
- Journals
- Clinical Cancer Research (3 papers)Nature Reviews Clinical Oncology (2 papers)Journal of Thoracic Oncology (2 papers)Cancer Discovery (1 paper)Journal of Vascular and Interventional Radiology (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Suzanne E. Davis
9 papers receiving 3k citations
Suzanne E. Davis's Hit Papers
Peers
Comparison fields: 5 of 91
- Oncology 1.6k
- Statistics and Probability 213
- Cancer Research 210
- Pulmonary and Respiratory Medicine 401
- Hematology 167
Countries citing papers authored by Suzanne E. Davis
This map shows the geographic impact of Suzanne E. Davis'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 Suzanne E. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne E. Davis more than expected).
Fields of papers citing papers by Suzanne E. Davis
This network shows the impact of papers produced by Suzanne E. Davis. 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 Suzanne E. Davis. The network helps show where Suzanne E. Davis may publish in the future.
Co-authors
The 25 scholars most cited alongside Suzanne E. Davis, 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 | Chimeric antigen receptor T-cell therapy — assessment and management of toxicities Hit paper breakdown → | 2017 | 1980 |
| 2 | The BATTLE Trial: Personalizing Therapy for Lung Cancer Hit paper breakdown → | 2011 | 701 |
| 3 | 2011 | 149 | |
| 4 | 2015 | 81 | |
| 5 | 2013 | 53 | |
| 6 | 2017 | 31 | |
| 7 | 2012 | 19 | |
| 8 | 2013 | 19 | |
| 9 | 2016 | 14 |
About Suzanne E. Davis
Suzanne E. Davis is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Oncology, Public Health, Environmental and Occupational Health and Statistics and Probability, having authored 9 papers that have together received 3k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (5 papers), Ethics in Clinical Research (2 papers), Cancer Genomics and Diagnostics (2 papers), CAR-T cell therapy research (1 paper), Health and Medical Research Impacts (1 paper), Statistical Methods in Clinical Trials (1 paper), Cancer Diagnosis and Treatment (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Oncology (1.6k citations), Statistics and Probability (213 citations), Cancer Research (210 citations), Pulmonary and Respiratory Medicine (401 citations) and Hematology (167 citations). Suzanne E. Davis has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Krishna V. Komanduri, John de Groot, Sattva Swarup Neelapu, Sudhakar Tummala, Alison M. Gulbis, Jason R. Westin, Yi Fan Lin, Sherry Adkins, Patrick Hwu and Nitin Jain. Their work appears in journals such as Clinical Cancer Research, Nature Reviews Clinical Oncology, Journal of Thoracic Oncology, Cancer Discovery and Journal of Vascular and Interventional Radiology.
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.