Chad Klochko
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
- Health Informatics top 5%
Papers in
- Surgery 11
- Shoulder Injury and Treatment 6
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- Radiology practices and education 8
- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- Neo Poyiadji (5 shared papers)Thomas Song (2 shared papers)Jeffrey Nadig (3 shared papers)Mohamad Omar Hadied (2 shared papers)Edward L. Peterson (1 shared paper)Pallavi Bhargava (1 shared paper)David L. Spizarny (2 shared papers)Safwan S. Halabi (4 shared papers)
- Journals
- Journal of the American College of Radiology (3 papers)Academic Radiology (2 papers)Radiology (2 papers)Skeletal Radiology (2 papers)Journal of Digital Imaging (1 paper)
- Partner nations
- United States
In The Last Decade
Chad Klochko
24 papers receiving 334 citations
Peers
Comparison fields: 5 of 65
- Internal Medicine 81
- Health Informatics 28
- Critical Care and Intensive Care Medicine 43
- Infectious Diseases 137
- Radiology, Nuclear Medicine and Imaging 112
Countries citing papers authored by Chad Klochko
This map shows the geographic impact of Chad Klochko'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 Chad Klochko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad Klochko more than expected).
Fields of papers citing papers by Chad Klochko
This network shows the impact of papers produced by Chad Klochko. 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 Chad Klochko. The network helps show where Chad Klochko may publish in the future.
Co-authors
The 25 scholars most cited alongside Chad Klochko, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 176 | |
| 2 | 2015 | 29 | |
| 3 | 2024 | 19 | |
| 4 | 2020 | 18 | |
| 5 | 2020 | 16 | |
| 6 | 2020 | 10 | |
| 7 | 2021 | 9 | |
| 8 | 2019 | 9 | |
| 9 | 2018 | 8 | |
| 10 | 2020 | 8 | |
| 11 | Automation of Protocoling Advanced MSK Examinations Using Natural Language Processing Techniques. | 2023 | 7 |
| 12 | 2021 | 7 | |
| 13 | 2017 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2015 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2013 | 2 |
About Chad Klochko
Chad Klochko is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Epidemiology, Cardiology and Cardiovascular Medicine and Health Informatics, having authored 27 papers that have together received 343 indexed citations. Recurring topics across this work include Radiology practices and education (8 papers), Shoulder Injury and Treatment (6 papers), Artificial Intelligence in Healthcare and Education (4 papers), Shoulder and Clavicle Injuries (4 papers), COVID-19 and healthcare impacts (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced X-ray and CT Imaging (2 papers) and Electronic Health Records Systems (2 papers). The work is most often cited by research in Internal Medicine (81 citations), Health Informatics (28 citations), Critical Care and Intensive Care Medicine (43 citations), Infectious Diseases (137 citations) and Radiology, Nuclear Medicine and Imaging (112 citations). Chad Klochko has collaborated with scholars based in United States. Frequent co-authors include Neo Poyiadji, Thomas Song, Jeffrey Nadig, Mohamad Omar Hadied, Edward L. Peterson, Pallavi Bhargava, David L. Spizarny, Safwan S. Halabi, Andrew K. Moriarty and Matthew J. O’Brien. Their work appears in journals such as Journal of the American College of Radiology, Academic Radiology, Radiology, Skeletal Radiology and Journal of Digital Imaging.
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.