William Teh
Impact in
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- Mesenchymal stem cell research
Papers in
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- Breast Lesions and Carcinomas 5
- Oncology 6
- Global Cancer Incidence and Screening 5
- Co-authors
- A.R.M. Wilson (4 shared papers)Grace Y. Minamoto (1 shared paper)Ian O. Ellis (2 shared papers)Soon‐Keng Cheong (1 shared paper)Andrew Evans (2 shared papers)Chee‐Yin Wong (1 shared paper)H.C. Burrell (2 shared papers)S. Chin (1 shared paper)
- Journals
- Clinical Radiology (2 papers)European Journal of Cancer (2 papers)Breast Cancer Research (2 papers)Clinical Infectious Diseases (1 paper)European Journal of Radiology (1 paper)
- Partner nations
- United KingdomUnited StatesMalaysia
In The Last Decade
William Teh
13 papers receiving 215 citations
Peers
Comparison fields: 5 of 55
- Otorhinolaryngology 21
- Genetics 37
- Cancer Research 45
- Pathology and Forensic Medicine 52
- Radiology, Nuclear Medicine and Imaging 54
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 | 85 | |
| 2 | 1995 | 41 | |
| 3 | 2010 | 39 | |
| 4 | 2000 | 31 | |
| 5 | 2016 | 11 | |
| 6 | 2024 | 5 | |
| 7 | 2002 | 4 | |
| 8 | 2020 | 3 | |
| 9 | 1998 | 3 | |
| 10 | 2023 | 2 | |
| 11 | Intervention widens breast disease options | 2006 | 1 |
| 12 | 1997 | 1 | |
| 13 | 2013 | 1 | |
| 14 | 2025 | 0 |
About William Teh
William Teh is a scholar working on Pathology and Forensic Medicine, Oncology, Artificial Intelligence, Pulmonary and Respiratory Medicine and Cancer Research, having authored 14 papers that have together received 227 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Global Cancer Incidence and Screening (5 papers), Breast Lesions and Carcinomas (5 papers), Breast Cancer Treatment Studies (3 papers), Digital Radiography and Breast Imaging (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cancer Genomics and Diagnostics (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Otorhinolaryngology (21 citations), Genetics (37 citations), Cancer Research (45 citations), Pathology and Forensic Medicine (52 citations) and Radiology, Nuclear Medicine and Imaging (54 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, Ian O. Ellis, Soon‐Keng Cheong, Andrew Evans, Chee‐Yin Wong, H.C. Burrell, S. Chin, Sarah E. Pinder and Stephen W. Duffy. Their work appears in journals such as Clinical Radiology, European Journal of Cancer, Breast Cancer Research, Clinical Infectious Diseases and European Journal of Radiology.
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.