Felix Y. Yap
- Gastroenterology top 10%
- Health Informatics top 10%
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- Radiomics and Machine Learning in Medical Imaging 9
- Medical Imaging Techniques and Applications 2
- MRI in cancer diagnosis 2
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- Renal cell carcinoma treatment 8
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- Hepatocellular Carcinoma Treatment and Prognosis 2
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- Renal and related cancers 4
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- Advanced X-ray and CT Imaging 4
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- AI in cancer detection 2
- Co-authors
- Ron C. GabaJames T. BuiM. Grace KnuttinenCharles OwensVinay DuddalwarBruce KlitzmanW.M. ReichertHeidi E. Koschwanez
- Journals
- Journal of the American Chemical Society (1 paper)The Journal of Urology (3 papers)Radiographics (1 paper)
- Partner nations
- United StatesRussiaChina
In The Last Decade
Felix Y. Yap
22 papers receiving 540 citations
Peers
Comparison fields: 5 of 80
- Gastroenterology 51
- Health Informatics 12
- Radiology, Nuclear Medicine and Imaging 206
- Pulmonary and Respiratory Medicine 187
- Hepatology 38
Countries citing papers authored by Felix Y. Yap
This map shows the geographic impact of Felix Y. Yap'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 Felix Y. Yap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felix Y. Yap more than expected).
Fields of papers citing papers by Felix Y. Yap
This network shows the impact of papers produced by Felix Y. Yap. 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 Felix Y. Yap. The network helps show where Felix Y. Yap may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Felix Y. Yap, 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 | 2023 | 7 | |
| 2 | 2023 | 5 | |
| 3 | 2021 | 68 | |
| 4 | 2020 | 54 | |
| 5 | 2018 | 26 | |
| 6 | 2017 | 5 | |
| 7 | 2016 | 1 | |
| 8 | 2016 | 8 | |
| 9 | 2016 | 22 | |
| 10 | 2016 | 2 | |
| 11 | 2016 | 58 | |
| 12 | 2015 | 0 | |
| 13 | 2013 | 58 | |
| 14 | 2013 | 87 | |
| 15 | 2013 | 15 | |
| 16 | 2012 | 9 | |
| 17 | 2012 | 19 | |
| 18 | 2012 | 5 | |
| 19 | 2008 | 53 | |
| 20 | ETAG: Some applications of a formal representation of the user interface | 1990 | 4 |
About Felix Y. Yap
Felix Y. Yap is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Internal Medicine, having authored 23 papers that have together received 545 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Renal cell carcinoma treatment (8 papers), Renal and related cancers (4 papers), Advanced X-ray and CT Imaging (4 papers), Medical Imaging Techniques and Applications (2 papers), MRI in cancer diagnosis (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Gastroenterology (51 citations), Health Informatics (12 citations) and Radiology, Nuclear Medicine and Imaging (206 citations). Felix Y. Yap has collaborated with scholars based in United States, Russia and China. Frequent co-authors include Ron C. Gaba, James T. Bui, M. Grace Knuttinen, Charles Owens, Vinay Duddalwar, Bruce Klitzman, W.M. Reichert, Heidi E. Koschwanez, Mihir Desai and Steven Cen. Their work appears in journals such as Journal of the American Chemical Society, The Journal of Urology 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.