Sara E. Kochanny
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Otorhinolaryngology top 1%
- Head and Neck Cancer Studies
Papers in
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- Head and Neck Cancer Studies 8
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- Cell Image Analysis Techniques 5
- Co-authors
- Alexander T. Pearson (16 shared papers)Frederick Matthew Howard (8 shared papers)James M. Dolezal (10 shared papers)Tanguy Y. Seiwert (9 shared papers)Ryan J. Brisson (7 shared papers)Everett E. Vokes (9 shared papers)Michael T. Spiotto (2 shared papers)Matthew Koshy (2 shared papers)
- Journals
- npj Precision Oncology (4 papers)Cancer (4 papers)Oral Oncology (3 papers)JAMA Network Open (2 papers)Annals of Oncology (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Sara E. Kochanny
31 papers receiving 1.7k citations
Sara E. Kochanny's Hit Papers
Peers
Comparison fields: 5 of 98
- Health Informatics 110
- Otorhinolaryngology 275
- Cancer Research 299
- Biophysics 123
- Radiology, Nuclear Medicine and Imaging 428
Countries citing papers authored by Sara E. Kochanny
This map shows the geographic impact of Sara E. Kochanny'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 Sara E. Kochanny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara E. Kochanny more than expected).
Fields of papers citing papers by Sara E. Kochanny
This network shows the impact of papers produced by Sara E. Kochanny. 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 Sara E. Kochanny. The network helps show where Sara E. Kochanny may publish in the future.
Co-authors
The 25 scholars most cited alongside Sara E. Kochanny, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pan-cancer image-based detection of clinically actionable genetic alterations Hit paper breakdown → | 2020 | 457 |
| 2 | 2021 | 188 | |
| 3 | OPTIMA: a phase II dose and volume de-escalation trial for human papillomavirus-positive oropharyngeal cancer Hit paper breakdown → | 2018 | 182 |
| 4 | 2019 | 182 | |
| 5 | 2020 | 124 | |
| 6 | 2022 | 92 | |
| 7 | 2021 | 63 | |
| 8 | 2023 | 53 | |
| 9 | 2020 | 47 | |
| 10 | 2023 | 40 | |
| 11 | 2024 | 32 | |
| 12 | 2020 | 31 | |
| 13 | 2019 | 28 | |
| 14 | 2021 | 26 | |
| 15 | 2019 | 24 | |
| 16 | 2023 | 24 | |
| 17 | 2020 | 21 | |
| 18 | 2020 | 17 | |
| 19 | 2024 | 17 | |
| 20 | 2020 | 16 |
About Sara E. Kochanny
Sara E. Kochanny is a scholar working on Otorhinolaryngology, Biophysics, Artificial Intelligence, Cancer Research and Oncology, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include AI in cancer detection (13 papers), Head and Neck Cancer Studies (8 papers), Cancer Genomics and Diagnostics (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Cell Image Analysis Techniques (5 papers), Lung Cancer Research Studies (3 papers), RNA modifications and cancer (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Health Informatics (110 citations), Otorhinolaryngology (275 citations), Cancer Research (299 citations), Biophysics (123 citations) and Radiology, Nuclear Medicine and Imaging (428 citations). Sara E. Kochanny has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Alexander T. Pearson, Frederick Matthew Howard, James M. Dolezal, Tanguy Y. Seiwert, Ryan J. Brisson, Everett E. Vokes, Michael T. Spiotto, Matthew Koshy, Corey Christian Foster and Jefree J. Schulte. Their work appears in journals such as npj Precision Oncology, Cancer, Oral Oncology, JAMA Network Open and Annals of Oncology.
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.