Ryan Kohlbrenner
Impact in
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
Papers in
- Surgery 8
- Organ Transplantation Techniques and Outcomes 3
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- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- M. Epstein (6 shared papers)Masatoshi Hori (4 shared papers)Kenji Suzuki (6 shared papers)Jian‐Wu Xu (2 shared papers)R L Baron (3 shared papers)Aytekin Oto (1 shared paper)K. Kolli (16 shared papers)Maureen P. Kohi (16 shared papers)
- Journals
- Journal of Vascular and Interventional Radiology (11 papers)Medical Physics (2 papers)Radiology (2 papers)CardioVascular and Interventional Radiology (1 paper)American Journal of Roentgenology (1 paper)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Ryan Kohlbrenner
26 papers receiving 300 citations
Peers
Comparison fields: 5 of 54
- Internal Medicine 35
- Hepatology 75
- Radiology, Nuclear Medicine and Imaging 68
- Computer Vision and Pattern Recognition 52
- Health Informatics 3
Countries citing papers authored by Ryan Kohlbrenner
This map shows the geographic impact of Ryan Kohlbrenner'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 Ryan Kohlbrenner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Kohlbrenner more than expected).
Fields of papers citing papers by Ryan Kohlbrenner
This network shows the impact of papers produced by Ryan Kohlbrenner. 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 Ryan Kohlbrenner. The network helps show where Ryan Kohlbrenner may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Kohlbrenner, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 99 | |
| 2 | 2010 | 88 | |
| 3 | 2016 | 37 | |
| 4 | 2017 | 11 | |
| 5 | 2020 | 10 | |
| 6 | 2022 | 8 | |
| 7 | 2019 | 7 | |
| 8 | 2015 | 7 | |
| 9 | 2019 | 6 | |
| 10 | 2019 | 6 | |
| 11 | 2018 | 5 | |
| 12 | 2019 | 5 | |
| 13 | 2018 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2019 | 2 | |
| 16 | 2009 | 2 | |
| 17 | 2022 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2021 | 1 |
About Ryan Kohlbrenner
Ryan Kohlbrenner is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Oncology, Pulmonary and Respiratory Medicine and Hepatology, having authored 28 papers that have together received 309 indexed citations. Recurring topics across this work include Central Venous Catheters and Hemodialysis (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Liver Disease and Transplantation (3 papers), AI in cancer detection (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Urinary Bladder and Prostate Research (2 papers). The work is most often cited by research in Internal Medicine (35 citations), Hepatology (75 citations), Radiology, Nuclear Medicine and Imaging (68 citations), Computer Vision and Pattern Recognition (52 citations) and Health Informatics (3 citations). Ryan Kohlbrenner has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include M. Epstein, Masatoshi Hori, Kenji Suzuki, Jian‐Wu Xu, R L Baron, Aytekin Oto, K. Kolli, Maureen P. Kohi, Evan Lehrman and Nicholas Fidelman. Their work appears in journals such as Journal of Vascular and Interventional Radiology, Medical Physics, Radiology, CardioVascular and Interventional Radiology and American Journal of Roentgenology.
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.