Michael Michell

72 papers receiving 1.5k citations

Peers

Michael Michell
Comparison fields: 5 of 112
  • Cancer Research 300
  • Pulmonary and Respiratory Medicine 542
  • Pathology and Forensic Medicine 298
  • Oncology 333
  • Radiology, Nuclear Medicine and Imaging 272
Replace Tejas S. Mehta with:
Tejas S. Mehta United States
Jill R. Glassman United States
Lars J. Grimm United States
Daniel Sullivan United States
Janie M. Lee United States
Martha B. Mainiero United States
Samantha L. Heller United States
Mary C. Mahoney United States
Mary Rickard Australia
Elizabeth Warner United States
Michael Michell relative to Tejas S. Mehta United States Tejas S. Mehta's profile →
Citations per field
00.5×1.5×
Tejas S. Mehta · 1×
Citations per year

Countries citing papers authored by Michael Michell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Michael Michell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Michell Line = papers co-authored together Michael Michell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015144
2 2015143
3 2012139
4 1995125
5 200493
6 199165
7 201765
8
CLINICAL GUIDELINES FOR BREAST CANCER SCREENING ASSESSMENT
200151
9 202147
10 201140
11 200837
12 201937
13 198935
14 198933
15 199930
16
Collective instructional scaffolding in English as a Second Language classrooms
200529
17 201926
18 201425
19 201225
20 200925

About Michael Michell

Michael Michell is a scholar working on Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Oncology, Cancer Research and Artificial Intelligence, having authored 78 papers that have together received 1.6k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (18 papers), Breast Lesions and Carcinomas (16 papers), AI in cancer detection (12 papers), Breast Cancer Treatment Studies (11 papers), Global Cancer Incidence and Screening (11 papers), Educational and Psychological Assessments (4 papers), Medical Imaging Techniques and Applications (4 papers) and Colorectal Cancer Screening and Detection (4 papers). The work is most often cited by research in Cancer Research (300 citations), Pulmonary and Respiratory Medicine (542 citations), Pathology and Forensic Medicine (298 citations), Oncology (333 citations) and Radiology, Nuclear Medicine and Imaging (272 citations). Michael Michell has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Julie Cooke, Kefah Mokbel, Salim Tayeh, Susan Astley, H.B. Nunnerley, Stephen W. Duffy, Yit Yoong Lim, David Evans, Lorraine Tucker and H. Dobson. Their work appears in journals such as Clinical Radiology, British Journal of Radiology, Cancers, Breast Cancer Research 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.

Explore authors with similar magnitude of impact