Michael Michell
- Pulmonary and Respiratory Medicine top 5%
- Artificial Intelligence top 2%
- Oncology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cancer Research top 5%
- Co-authors
- Julie CookeKefah MokbelSusan AstleyStephen W. DuffyPatricia WhelehanDavid EvansSalim TayehYit Yoong Lim
- Topics
- AI in cancer detection (21 papers)Digital Radiography and Breast Imaging (18 papers)Breast Lesions and Carcinomas (17 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Michael Michell
68 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 111
- Pulmonary and Respiratory Medicine 548
- Artificial Intelligence 482
- Oncology 464
- Radiology, Nuclear Medicine and Imaging 414
- Cancer Research 392
Countries citing papers authored by Michael Michell
This map shows the geographic impact of Michael Michell'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 Michell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Michell more than expected).
Fields of papers citing papers by Michael Michell
This network shows the impact of papers produced by Michael Michell. 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 Michell. The network helps show where Michael Michell may publish in the future.
Co-authorship network of co-authors of Michael Michell
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Michell. A scholar is included among the top collaborators of Michael Michell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Michell. Michael Michell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 24 | |
| 7 | 19 | |
| 8 | 19 | |
| 9 | 25 | |
| 10 | 11 | |
| 11 | EAL Assessment: What Do Australian Teachers Want?. | 6 |
| 12 | 24 | |
| 13 | 132 | |
| 14 | 6 | |
| 15 | Technology in the Service of Information Literacy and Writing Across the Curriculum: Our Experience | 1 |
| 16 | 3 | |
| 17 | 62 | |
| 18 | 8 | |
| 19 | 21 | |
| 20 | 2 |
About Michael Michell
Michael Michell is a scholar working on Cancer Research, Pathology and Forensic Medicine and Human Factors and Ergonomics, having authored 72 papers that have together received 1.5k indexed citations. Recurring topics across this work include AI in cancer detection (21 papers), Digital Radiography and Breast Imaging (18 papers) and Breast Lesions and Carcinomas (17 papers). The work is most often cited by research in Cancer Research (392 citations), Pathology and Forensic Medicine (381 citations) and Radiology, Nuclear Medicine and Imaging (414 citations). Michael Michell has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Julie Cooke, Kefah Mokbel, Susan Astley, Stephen W. Duffy, Patricia Whelehan, David Evans, Salim Tayeh, Yit Yoong Lim, Maureen Gc Gillan and Paula Willsher. Their work appears in journals such as Radiology, International Journal of Cancer and European Journal of Cancer.
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.