Kevin Blansit
Impact in
- Obstetrics and Gynecology top 5%
- Endometrial and Cervical Cancer Treatments
- Uterine Myomas and Treatments
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
Papers in
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- Ovarian cancer diagnosis and treatment 7
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- Endometrial and Cervical Cancer Treatments 6
- Co-authors
- John K. Chan (11 shared papers)Daniel S. Kapp (12 shared papers)T. Kiet (5 shared papers)Albert Hsiao (3 shared papers)Tara Retson (3 shared papers)Naeim Bahrami (3 shared papers)Gabriel Wong (1 shared paper)Christine Earle (1 shared paper)
- Journals
- Gynecologic Oncology (9 papers)American Journal of Obstetrics and Gynecology (3 papers)Radiology Artificial Intelligence (2 papers)The Oncologist (2 papers)Journal of Neurophysiology (1 paper)
- Partner nations
- United StatesBelgium
In The Last Decade
Kevin Blansit
20 papers receiving 618 citations
Peers
Comparison fields: 5 of 77
- Obstetrics and Gynecology 110
- Reproductive Medicine 118
- Health Informatics 16
- Cancer Research 154
- Dermatology 58
Countries citing papers authored by Kevin Blansit
This map shows the geographic impact of Kevin Blansit'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 Kevin Blansit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Blansit more than expected).
Fields of papers citing papers by Kevin Blansit
This network shows the impact of papers produced by Kevin Blansit. 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 Kevin Blansit. The network helps show where Kevin Blansit may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin Blansit, 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 | 2014 | 123 | |
| 2 | 2019 | 98 | |
| 3 | 2015 | 72 | |
| 4 | 2014 | 68 | |
| 5 | 2012 | 46 | |
| 6 | 2019 | 43 | |
| 7 | 2012 | 33 | |
| 8 | 2014 | 31 | |
| 9 | 2014 | 25 | |
| 10 | 2019 | 18 | |
| 11 | 2015 | 17 | |
| 12 | 2015 | 16 | |
| 13 | 2014 | 12 | |
| 14 | 2015 | 10 | |
| 15 | 2014 | 7 | |
| 16 | 2015 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2014 | 1 | |
| 19 | Voice Enabled Framework to Support Post-Surgical Discharge Monitoring. | 2017 | 1 |
| 20 | 2013 | 1 |
About Kevin Blansit
Kevin Blansit is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Oncology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 624 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (7 papers), Endometrial and Cervical Cancer Treatments (6 papers), Cancer Risks and Factors (4 papers), MicroRNA in disease regulation (2 papers), Dermatology and Skin Diseases (2 papers), Circular RNAs in diseases (2 papers), Cardiac Imaging and Diagnostics (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Obstetrics and Gynecology (110 citations), Reproductive Medicine (118 citations), Health Informatics (16 citations), Cancer Research (154 citations) and Dermatology (58 citations). Kevin Blansit has collaborated with scholars based in United States and Belgium. Frequent co-authors include John K. Chan, Daniel S. Kapp, T. Kiet, Albert Hsiao, Tara Retson, Naeim Bahrami, Gabriel Wong, Christine Earle, Alexander E. Sherman and Xinhua Yu. Their work appears in journals such as Gynecologic Oncology, American Journal of Obstetrics and Gynecology, Radiology Artificial Intelligence, The Oncologist and Journal of Neurophysiology.
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.