William Teh
Impact in
- Otorhinolaryngology top 10%
-
- Mesenchymal stem cell research
Papers in
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- Breast Lesions and Carcinomas 6
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- Digital Radiography and Breast Imaging 3
- Co-authors
- A.R.M. Wilson (4 shared papers)Grace Y. Minamoto (1 shared paper)S. Chin (1 shared paper)Sarah E. Pinder (1 shared paper)H.C. Burrell (2 shared papers)Ian O. Ellis (2 shared papers)Andrew Evans (2 shared papers)Soon‐Keng Cheong (1 shared paper)
- Journals
- Clinical Radiology (2 papers)Breast Cancer Research (2 papers)European Journal of Cancer (2 papers)Clinical Infectious Diseases (1 paper)Journal of Medical Screening (1 paper)
- Partner nations
- United KingdomUnited StatesMalaysia
In The Last Decade
William Teh
14 papers receiving 236 citations
Peers
Comparison fields: 5 of 55
- Otorhinolaryngology 21
- Genetics 36
- Pathology and Forensic Medicine 52
- Radiology, Nuclear Medicine and Imaging 50
- Cancer Research 31
Countries citing papers authored by William Teh
This map shows the geographic impact of William Teh'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 William Teh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Teh more than expected).
Fields of papers citing papers by William Teh
This network shows the impact of papers produced by William Teh. 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 William Teh. The network helps show where William Teh may publish in the future.
Co-authors
The 25 scholars most cited alongside William Teh, 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 | 1998 | 93 | |
| 2 | 2010 | 44 | |
| 3 | 1995 | 44 | |
| 4 | 2000 | 36 | |
| 5 | 2016 | 11 | |
| 6 | 2024 | 6 | |
| 7 | 2002 | 4 | |
| 8 | 2020 | 4 | |
| 9 | 2025 | 3 | |
| 10 | 1998 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2013 | 1 | |
| 13 | Intervention widens breast disease options | 2006 | 1 |
| 14 | 1997 | 1 | |
| 15 | 2013 | 0 |
About William Teh
William Teh is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Oncology, Artificial Intelligence and Epidemiology, having authored 15 papers that have together received 253 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (6 papers), Global Cancer Incidence and Screening (3 papers), AI in cancer detection (3 papers), Digital Radiography and Breast Imaging (3 papers), Multiple and Secondary Primary Cancers (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Otorhinolaryngology (21 citations), Genetics (36 citations), Pathology and Forensic Medicine (52 citations), Radiology, Nuclear Medicine and Imaging (50 citations) and Cancer Research (31 citations). William Teh has collaborated with scholars based in United Kingdom, United States and Malaysia. Frequent co-authors include A.R.M. Wilson, Grace Y. Minamoto, S. Chin, Sarah E. Pinder, H.C. Burrell, Ian O. Ellis, Andrew Evans, Soon‐Keng Cheong, Nisha Sharma and Sue Hudson. Their work appears in journals such as Clinical Radiology, Breast Cancer Research, European Journal of Cancer, Clinical Infectious Diseases and Journal of Medical Screening.
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.