Weang-Kee Ho
Impact in
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- Statistical Methods in Clinical Trials
- Statistical Methods and Bayesian Inference
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- Global Cancer Incidence and Screening
- Cancer Risks and Factors
Papers in
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- Digital Radiography and Breast Imaging 5
- Oncology 4
- Cancer Risks and Factors 3
- 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)Per Hall (5 shared papers)Mikael Eriksson (5 shared papers)Pete Philipson (1 shared paper)Nadia Rajaram (4 shared papers)
- Journals
- Breast Cancer Research and Treatment (2 papers)Cancer Epidemiology Biomarkers & Prevention (2 papers)Statistics in Medicine (2 papers)Nutrients (1 paper)Scientific Reports (1 paper)
- Partner nations
- MalaysiaUnited KingdomSweden
In The Last Decade
Weang-Kee Ho
13 papers receiving 180 citations
Peers
Comparison fields: 5 of 41
- Statistics and Probability 19
- Oncology 54
- Pulmonary and Respiratory Medicine 42
- Pathology and Forensic Medicine 19
- Artificial Intelligence 27
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 | 20 | |
| 5 | 2012 | 12 | |
| 6 | 2018 | 8 | |
| 7 | 2023 | 7 | |
| 8 | 2017 | 6 | |
| 9 | 2015 | 5 | |
| 10 | 2012 | 5 | |
| 11 | 2024 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 0 | |
| 15 | 2024 | 0 |
About Weang-Kee Ho
Weang-Kee Ho is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Genetics, Statistics and Probability and Pathology and Forensic Medicine, having authored 15 papers that have together received 181 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (5 papers), Cancer Risks and Factors (3 papers), Statistical Methods and Bayesian Inference (2 papers), Advanced Causal Inference Techniques (2 papers), BRCA gene mutations in cancer (2 papers), Statistical Methods in Clinical Trials (2 papers), Optimal Experimental Design Methods (2 papers) and Phytoestrogen effects and research (2 papers). The work is most often cited by research in Statistics and Probability (19 citations), Oncology (54 citations), Pulmonary and Respiratory Medicine (42 citations), Pathology and Forensic Medicine (19 citations) and Artificial Intelligence (27 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, Per Hall, Mikael Eriksson, Pete Philipson, Nadia Rajaram, Kartini Rahmat and Kamila Czene. Their work appears in journals such as Breast Cancer Research and Treatment, Cancer Epidemiology Biomarkers & Prevention, Statistics in Medicine, Nutrients and Scientific Reports.
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.