Kenneth L. Kehl
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education 9
- Oncology top 5%
- Colorectal Cancer Treatments and Studies 13
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 22
-
- Lung Cancer Treatments and Mutations 20
-
- Radiomics and Machine Learning in Medical Imaging 17
-
- Economic and Financial Impacts of Cancer 9
- Health Systems, Economic Evaluations, Quality of Life 6
-
- Ethics in Clinical Research 8
- Co-authors
- Deborah SchragMichael J. HassettNancy L. KeatingEliezer M. Van AllenBruce E. JohnsonMary Beth LandrumHaitham ElmarakebyNeeraj K. Arora
- Journals
- Nature Medicine (1 paper)Nature Communications (2 papers)Journal of Clinical Oncology (15 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Kenneth L. Kehl
63 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Health Informatics 173
- Oncology 544
- Cancer Research 234
- Pulmonary and Respiratory Medicine 451
- Radiology, Nuclear Medicine and Imaging 302
Countries citing papers authored by Kenneth L. Kehl
This map shows the geographic impact of Kenneth L. Kehl'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 Kenneth L. Kehl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth L. Kehl more than expected).
Fields of papers citing papers by Kenneth L. Kehl
This network shows the impact of papers produced by Kenneth L. Kehl. 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 Kenneth L. Kehl. The network helps show where Kenneth L. Kehl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kenneth L. Kehl, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 21 | |
| 6 | Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directionsbreakdown → | 2024 | 71 |
| 7 | 2024 | 9 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 17 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 51 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 15 | |
| 15 | 2021 | 33 | |
| 16 | 2019 | 59 | |
| 17 | 2017 | 4 | |
| 18 | 2016 | 29 | |
| 19 | 2014 | 31 | |
| 20 | 2012 | 39 |
About Kenneth L. Kehl
Kenneth L. Kehl is a scholar working on Health Informatics, Cancer Research and Oncology, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (22 papers), Lung Cancer Treatments and Mutations (20 papers), Radiomics and Machine Learning in Medical Imaging (17 papers), Colorectal Cancer Treatments and Studies (13 papers), Economic and Financial Impacts of Cancer (9 papers), Artificial Intelligence in Healthcare and Education (9 papers), Ethics in Clinical Research (8 papers) and Health Systems, Economic Evaluations, Quality of Life (6 papers). The work is most often cited by research in Health Informatics (173 citations), Oncology (544 citations) and Cancer Research (234 citations). Kenneth L. Kehl has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Deborah Schrag, Michael J. Hassett, Nancy L. Keating, Eliezer M. Van Allen, Bruce E. Johnson, Mary Beth Landrum, Haitham Elmarakeby, Neeraj K. Arora, Jennifer W. Mack and Patricia A. Ganz. Their work appears in journals such as Nature Medicine, Nature Communications and Journal of Clinical 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.