William Teh

12 papers and 201 indexed citations i.

About

William Teh is a scholar working on Artificial Intelligence, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, William Teh has authored 12 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Oncology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in William Teh’s work include Global Cancer Incidence and Screening (5 papers), AI in cancer detection (5 papers) and Breast Lesions and Carcinomas (3 papers). William Teh is often cited by papers focused on Global Cancer Incidence and Screening (5 papers), AI in cancer detection (5 papers) and Breast Lesions and Carcinomas (3 papers). William Teh collaborates with scholars based in United Kingdom, United States and Malaysia. William Teh's co-authors include A.R.M. Wilson, Grace Y. Minamoto, H.C. Burrell, Andrew Evans, Soon‐Keng Cheong, Chee‐Yin Wong, Sarah E. Pinder, Ian O. Ellis, S. Chin and Jonathan P. Myles and has published in prestigious journals such as Clinical Infectious Diseases, European Journal of Cancer and Breast Cancer Research.

In The Last Decade

Co-authorship network of co-authors of William Teh i

Fields of papers citing papers by William Teh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by William Teh

Since Specialization
Citations

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).

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.

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