Weang-Kee Ho
Impact in
-
- Global Cancer Incidence and Screening
- Cancer Risks and Factors
- Statistics and Probability top 10%
- Statistical Methods in Clinical Trials
Papers in
- Oncology 10
- Global Cancer Incidence and Screening 9
- Cancer Risks and Factors 5
-
- Digital Radiography and Breast Imaging 4
- Co-authors
- Soo‐Hwang Teo (11 shared papers)Shivaani Mariapun (8 shared papers)Robin Henderson (3 shared papers)Nur Aishah Mohd Taib (6 shared papers)Mikael Eriksson (5 shared papers)Pete Philipson (1 shared paper)Per Hall (5 shared papers)Kamila Czene (1 shared paper)
- Journals
- Breast Cancer Research and Treatment (2 papers)Cancer Epidemiology Biomarkers & Prevention (2 papers)Statistics in Medicine (2 papers)Statistical Methods in Medical Research (1 paper)Journal of Nutritional Science (1 paper)
- Partner nations
- MalaysiaUnited KingdomSweden
In The Last Decade
Weang-Kee Ho
13 papers receiving 177 citations
Peers
Comparison fields: 5 of 48
- Oncology 96
- Statistics and Probability 22
- Pulmonary and Respiratory Medicine 55
- Artificial Intelligence 51
- Cancer Research 23
Countries citing papers authored by Weang-Kee Ho
This map shows the geographic impact of Weang-Kee Ho'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 Weang-Kee Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weang-Kee Ho more than expected).
Fields of papers citing papers by Weang-Kee Ho
This network shows the impact of papers produced by Weang-Kee Ho. 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 Weang-Kee Ho. The network helps show where Weang-Kee Ho may publish in the future.
Co-authors
The 25 scholars most cited alongside Weang-Kee Ho, 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 | 2016 | 72 | |
| 2 | 2008 | 21 | |
| 3 | 2015 | 20 | |
| 4 | 2020 | 19 | |
| 5 | 2012 | 12 | |
| 6 | 2018 | 8 | |
| 7 | 2017 | 6 | |
| 8 | 2023 | 6 | |
| 9 | 2015 | 5 | |
| 10 | 2012 | 5 | |
| 11 | 2024 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2023 | 0 | |
| 15 | 2024 | 0 |
About Weang-Kee Ho
Weang-Kee Ho is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Artificial Intelligence, Genetics and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 178 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (9 papers), Cancer Risks and Factors (5 papers), Digital Radiography and Breast Imaging (4 papers), AI in cancer detection (4 papers), BRCA gene mutations in cancer (3 papers), Genetic Associations and Epidemiology (2 papers), Statistical Methods and Bayesian Inference (2 papers) and Nutritional Studies and Diet (2 papers). The work is most often cited by research in Oncology (96 citations), Statistics and Probability (22 citations), Pulmonary and Respiratory Medicine (55 citations), Artificial Intelligence (51 citations) and Cancer Research (23 citations). Weang-Kee Ho has collaborated with scholars based in Malaysia, United Kingdom and Sweden. Frequent co-authors include Soo‐Hwang Teo, Shivaani Mariapun, Robin Henderson, Nur Aishah Mohd Taib, Mikael Eriksson, Pete Philipson, Per Hall, Kamila Czene, Kartini Rahmat and John N. S. Matthews. Their work appears in journals such as Breast Cancer Research and Treatment, Cancer Epidemiology Biomarkers & Prevention, Statistics in Medicine, Statistical Methods in Medical Research and Journal of Nutritional Science.
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.