Michael W. Freckleton
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
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- Liver Disease Diagnosis and Treatment
Papers in
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- Digital Radiography and Breast Imaging 3
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- AI in cancer detection 2
- Co-authors
- Kedar N. Chintapalli (2 shared papers)Neal C. Dalrymple (2 shared papers)Srinivasa R. Prasad (1 shared paper)Jean Hardies (1 shared paper)Song Lai (1 shared paper)Romina Lomonaco (1 shared paper)Fernando Bril (1 shared paper)Fermin O. Tio (1 shared paper)
- Journals
- Radiology (4 papers)Journal of Digital Imaging (2 papers)Liver International (1 paper)Radiographics (1 paper)
- Partner nations
- United States
In The Last Decade
Michael W. Freckleton
9 papers receiving 467 citations
Peers
Comparison fields: 5 of 71
- Hepatology 114
- Epidemiology 187
- Radiology, Nuclear Medicine and Imaging 83
- Pulmonary and Respiratory Medicine 88
- Endocrinology, Diabetes and Metabolism 42
Countries citing papers authored by Michael W. Freckleton
This map shows the geographic impact of Michael W. Freckleton'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 Michael W. Freckleton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael W. Freckleton more than expected).
Fields of papers citing papers by Michael W. Freckleton
This network shows the impact of papers produced by Michael W. Freckleton. 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 Michael W. Freckleton. The network helps show where Michael W. Freckleton may publish in the future.
Co-authors
The 16 scholars most cited alongside Michael W. Freckleton, 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 | 2015 | 183 | |
| 2 | 2005 | 156 | |
| 3 | 2007 | 85 | |
| 4 | 1998 | 25 | |
| 5 | 1995 | 24 | |
| 6 | 1994 | 8 | |
| 7 | 2002 | 3 | |
| 8 | 1993 | 2 | |
| 9 | 2002 | 1 |
About Michael W. Freckleton
Michael W. Freckleton is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Surgery, having authored 9 papers that have together received 487 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (3 papers), Advanced X-ray and CT Imaging (2 papers), Medical Imaging Techniques and Applications (2 papers), AI in cancer detection (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Scientific Computing and Data Management (1 paper), Electronic Health Records Systems (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Hepatology (114 citations), Epidemiology (187 citations), Radiology, Nuclear Medicine and Imaging (83 citations), Pulmonary and Respiratory Medicine (88 citations) and Endocrinology, Diabetes and Metabolism (42 citations). Michael W. Freckleton has collaborated with scholars based in United States. Frequent co-authors include Kedar N. Chintapalli, Neal C. Dalrymple, Srinivasa R. Prasad, Jean Hardies, Song Lai, Romina Lomonaco, Fernando Bril, Fermin O. Tio, Carolina Ortiz‐Lopez and Kenneth Cusi. Their work appears in journals such as Radiology, Journal of Digital Imaging, Liver International and Radiographics.
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.