Severine Kako
Impact in
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- HER2/EGFR in Cancer Research
- Lung Cancer Research Studies
- Peptidase Inhibition and Analysis
- Colorectal Cancer Treatments and Studies
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- Lung Cancer Treatments and Mutations
Papers in
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- Lung Cancer Treatments and Mutations 5
- Oncology 4
- HER2/EGFR in Cancer Research 3
- Colorectal Cancer Treatments and Studies 1
- Co-authors
- Dara L. Aisner (5 shared papers)Marileila Varella‐Garcia (5 shared papers)Bob T. Li (2 shared papers)Jamie E. Chaft (2 shared papers)Mark G. Kris (2 shared papers)Maria E. Arcila (2 shared papers)Meier Hsu (2 shared papers)Dara S. Ross (2 shared papers)
- Journals
- Journal of Thoracic Oncology (3 papers)Journal of Clinical Oncology (2 papers)Cancer Research (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Severine Kako
6 papers receiving 286 citations
Peers
Comparison fields: 5 of 33
- Oncology 196
- Pulmonary and Respiratory Medicine 216
- Cancer Research 64
- Radiology, Nuclear Medicine and Imaging 48
- Molecular Biology 112
Countries citing papers authored by Severine Kako
This map shows the geographic impact of Severine Kako'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 Severine Kako with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Severine Kako more than expected).
Fields of papers citing papers by Severine Kako
This network shows the impact of papers produced by Severine Kako. 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 Severine Kako. The network helps show where Severine Kako may publish in the future.
Co-authors
The 25 scholars most cited alongside Severine Kako, 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 | 212 | |
| 2 | 2017 | 61 | |
| 3 | 2013 | 9 | |
| 4 | 2017 | 6 | |
| 5 | Identification of Targetable Driver Mutations In Molecularly Selected Never Smoker Lung Adenocarcinomas | 2013 | 1 |
| 6 | 2015 | 1 |
About Severine Kako
Severine Kako is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 6 papers that have together received 290 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (5 papers), HER2/EGFR in Cancer Research (3 papers), Cancer Genomics and Diagnostics (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA modifications and cancer (2 papers), Machine Learning in Bioinformatics (1 paper), Colorectal Cancer Treatments and Studies (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Oncology (196 citations), Pulmonary and Respiratory Medicine (216 citations), Cancer Research (64 citations), Radiology, Nuclear Medicine and Imaging (48 citations) and Molecular Biology (112 citations). Severine Kako has collaborated with scholars based in United States and Australia. Frequent co-authors include Dara L. Aisner, Marileila Varella‐Garcia, Bob T. Li, Jamie E. Chaft, Mark G. Kris, Maria E. Arcila, Meier Hsu, Dara S. Ross, Anh T. Le and Aria Vaishnavi. Their work appears in journals such as Journal of Thoracic Oncology, Journal of Clinical Oncology and Cancer Research.
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.