Fernando Collado‐Mesa
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Dermatology top 5%
- Skin Protection and Aging
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 7
- Medical Imaging Techniques and Applications 3
-
- AI in cancer detection 8
- Co-authors
- Mohamed Abdel-Mottaleb (6 shared papers)Manal Alghamdi (5 shared papers)Shasa Hu (3 shared papers)Fangchao Ma (3 shared papers)Robert S. Kirsner (2 shared papers)Kris Arheart (1 shared paper)Monica Yepes (11 shared papers)Jose Net (9 shared papers)
- Journals
- The Breast Journal (3 papers)Memórias do Instituto Oswaldo Cruz (2 papers)Breast Disease (2 papers)PeerJ Computer Science (1 paper)Cancer Epidemiology Biomarkers & Prevention (1 paper)
- Partner nations
- United StatesSaudi ArabiaCuba
In The Last Decade
Fernando Collado‐Mesa
39 papers receiving 792 citations
Peers
Comparison fields: 5 of 119
- Health Informatics 94
- Dermatology 118
- Radiology, Nuclear Medicine and Imaging 180
- Neurology 46
- Artificial Intelligence 166
Countries citing papers authored by Fernando Collado‐Mesa
This map shows the geographic impact of Fernando Collado‐Mesa'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 Fernando Collado‐Mesa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Collado‐Mesa more than expected).
Fields of papers citing papers by Fernando Collado‐Mesa
This network shows the impact of papers produced by Fernando Collado‐Mesa. 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 Fernando Collado‐Mesa. The network helps show where Fernando Collado‐Mesa may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Collado‐Mesa, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 121 | |
| 2 | 2018 | 99 | |
| 3 | 2004 | 90 | |
| 4 | 2007 | 73 | |
| 5 | 2022 | 53 | |
| 6 | 1999 | 53 | |
| 7 | 2020 | 52 | |
| 8 | 2004 | 48 | |
| 9 | 2014 | 30 | |
| 10 | 2014 | 20 | |
| 11 | 2004 | 17 | |
| 12 | 2023 | 15 | |
| 13 | [Prevalence of Parkinson disease in an urban area of the Ciudad de La Habana province, Cuba. Door-to-door population study]. | 2000 | 14 |
| 14 | 2020 | 14 | |
| 15 | 1997 | 13 | |
| 16 | 2004 | 13 | |
| 17 | 2012 | 12 | |
| 18 | 2013 | 10 | |
| 19 | 2004 | 10 | |
| 20 | 2017 | 9 |
About Fernando Collado‐Mesa
Fernando Collado‐Mesa is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Oncology, Pathology and Forensic Medicine and Dermatology, having authored 41 papers that have together received 824 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Breast Cancer Treatment Studies (5 papers), Breast Lesions and Carcinomas (4 papers), Medical Imaging Techniques and Applications (3 papers), Hepatitis C virus research (3 papers), Cancer and Skin Lesions (3 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Health Informatics (94 citations), Dermatology (118 citations), Radiology, Nuclear Medicine and Imaging (180 citations), Neurology (46 citations) and Artificial Intelligence (166 citations). Fernando Collado‐Mesa has collaborated with scholars based in United States, Saudi Arabia and Cuba. Frequent co-authors include Mohamed Abdel-Mottaleb, Manal Alghamdi, Shasa Hu, Fangchao Ma, Robert S. Kirsner, Kris Arheart, Monica Yepes, Jose Net, Kristopher L. Arheart and Robert S. Kirsner. Their work appears in journals such as The Breast Journal, Memórias do Instituto Oswaldo Cruz, Breast Disease, PeerJ Computer Science and Cancer Epidemiology Biomarkers & Prevention.
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.