Di Ou
Impact in
- Virology top 5%
- Health Informatics top 5%
Papers in
-
- Thyroid Cancer Diagnosis and Treatment 11
-
- Cell death mechanisms and regulation 4
- Co-authors
- Esteban Celis (2 shared papers)L. Ötvös (1 shared paper)S Gillam (4 shared papers)Thomas M. Seed (4 shared papers)James Alexander (1 shared paper)Robert W. Olafson (1 shared paper)Mark D. Wiederhold (2 shared papers)Armando Jardim (1 shared paper)
- Journals
- Journal of Virology (4 papers)Frontiers in Oncology (3 papers)European Radiology (2 papers)European Journal of Cancer (2 papers)Frontiers in Endocrinology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Di Ou
50 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 111
- Virology 78
- Health Informatics 23
- Immunology 216
- Toxicology 32
- Epidemiology 252
Countries citing papers authored by Di Ou
This map shows the geographic impact of Di Ou'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 Di Ou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Ou more than expected).
Fields of papers citing papers by Di Ou
This network shows the impact of papers produced by Di Ou. 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 Di Ou. The network helps show where Di Ou may publish in the future.
Co-authors
The 25 scholars most cited alongside Di Ou, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 101 | |
| 2 | 1998 | 89 | |
| 3 | 1990 | 89 | |
| 4 | 1988 | 67 | |
| 5 | 2000 | 65 | |
| 6 | 1999 | 54 | |
| 7 | 1992 | 49 | |
| 8 | 2023 | 41 | |
| 9 | 1994 | 38 | |
| 10 | 2022 | 36 | |
| 11 | 1991 | 35 | |
| 12 | 1992 | 34 | |
| 13 | 1995 | 33 | |
| 14 | 1994 | 29 | |
| 15 | 2013 | 25 | |
| 16 | 1997 | 22 | |
| 17 | 2022 | 18 | |
| 18 | 2021 | 18 | |
| 19 | 1992 | 18 | |
| 20 | 1997 | 16 |
About Di Ou
Di Ou is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Epidemiology and Genetics, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (11 papers), Virology and Viral Diseases (4 papers), Cell death mechanisms and regulation (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Respiratory viral infections research (3 papers), AI in cancer detection (3 papers), Electron Spin Resonance Studies (3 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Virology (78 citations), Health Informatics (23 citations), Immunology (216 citations), Toxicology (32 citations) and Epidemiology (252 citations). Di Ou has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Esteban Celis, L. Ötvös, S Gillam, Thomas M. Seed, James Alexander, Robert W. Olafson, Mark D. Wiederhold, Armando Jardim, H S Teh and Aubrey J. Tingle. Their work appears in journals such as Journal of Virology, Frontiers in Oncology, European Radiology, European Journal of Cancer and Frontiers in Endocrinology.
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.