John Adeoye
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Otorhinolaryngology top 2%
- Head and Neck Cancer Studies
Papers in
-
- Head and Neck Cancer Studies 22
- Periodontics 11
- Oral Health Pathology and Treatment 10
- Co-authors
- Peter Thomson (26 shared papers)S. W. Choi (18 shared papers)Yu‐Xiong Su (13 shared papers)Jia Tan (5 shared papers)Nikki P. Lee (1 shared paper)Mohamad Koohi‐Moghadam (5 shared papers)Li Wu Zheng (8 shared papers)Weilan Wang (4 shared papers)
In The Last Decade
John Adeoye
37 papers receiving 592 citations
Peers
Comparison fields: 5 of 79
- Health Informatics 61
- Otorhinolaryngology 158
- Periodontics 118
- Oral Surgery 73
- General Dentistry 13
Countries citing papers authored by John Adeoye
This map shows the geographic impact of John Adeoye'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 John Adeoye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Adeoye more than expected).
Fields of papers citing papers by John Adeoye
This network shows the impact of papers produced by John Adeoye. 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 John Adeoye. The network helps show where John Adeoye may publish in the future.
Co-authors
The 25 scholars most cited alongside John Adeoye, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 99 | |
| 2 | 2021 | 63 | |
| 3 | 2021 | 48 | |
| 4 | 2021 | 34 | |
| 5 | 2023 | 33 | |
| 6 | 2019 | 27 | |
| 7 | 2020 | 22 | |
| 8 | 2023 | 22 | |
| 9 | 2022 | 20 | |
| 10 | 2020 | 18 | |
| 11 | 2021 | 16 | |
| 12 | 2021 | 15 | |
| 13 | 2021 | 15 | |
| 14 | 2020 | 14 | |
| 15 | 2022 | 14 | |
| 16 | 2022 | 14 | |
| 17 | 2023 | 13 | |
| 18 | 2020 | 13 | |
| 19 | 2020 | 11 | |
| 20 | 2018 | 10 |
About John Adeoye
John Adeoye is a scholar working on Otorhinolaryngology, Periodontics, Oral Surgery, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 43 papers that have together received 602 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (22 papers), Oral Health Pathology and Treatment (10 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Oral and Maxillofacial Pathology (4 papers), AI in cancer detection (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Oral and gingival health research (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Health Informatics (61 citations), Otorhinolaryngology (158 citations), Periodontics (118 citations), Oral Surgery (73 citations) and General Dentistry (13 citations). John Adeoye has collaborated with scholars based in Hong Kong, Australia and Nigeria. Frequent co-authors include Peter Thomson, S. W. Choi, Yu‐Xiong Su, Jia Tan, Nikki P. Lee, Mohamad Koohi‐Moghadam, Li Wu Zheng, Weilan Wang, Seidu Adebayo Bello and Velda Ling Yu Chow. Their work appears in journals such as Journal of Oral Pathology and Medicine, Oral Diseases, Cancers, Journal Of Big Data and International Journal of Medical Informatics.
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.