Any Cheung
- Obstetrics and Gynecology top 0.2%
- Endometrial and Cervical Cancer Treatments 27
- Uterine Myomas and Treatments 15
- Reproductive Medicine top 0.5%
- Ovarian cancer diagnosis and treatment 42
- Cancer Research top 1%
- Oncology top 1%
- Cancer-related Molecular Pathways 22
- Molecular Biology top 1%
- Epigenetics and DNA Methylation 27
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- Cervical Cancer and HPV Research 58
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- Gestational Trophoblastic Disease Studies 52
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- Prenatal Screening and Diagnostics 37
- Co-authors
- Hys NganUS KhooPhilip P.C. IpMichelle K.Y. SiuKelvin Y.K. ChanKaren K. L. ChanEsther S.Y. WongVincent W.S. Liu
- Journals
- Histopathology (13 papers)Gynecologic Oncology (13 papers)International Journal of Gynecological Pathology (12 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Any Cheung
308 papers receiving 9.3k citations
Peers
Comparison fields: 5 of 150
- Obstetrics and Gynecology 1.3k
- Reproductive Medicine 1.2k
- Cancer Research 1.6k
- Oncology 1.8k
- Molecular Biology 4.5k
Countries citing papers authored by Any Cheung
This map shows the geographic impact of Any Cheung'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 Any Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Any Cheung more than expected).
Fields of papers citing papers by Any Cheung
This network shows the impact of papers produced by Any Cheung. 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 Any Cheung. The network helps show where Any Cheung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Any Cheung, 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 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 4 | |
| 6 | 2019 | 103 | |
| 7 | 2019 | 38 | |
| 8 | 2019 | 16 | |
| 9 | 2018 | 1 | |
| 10 | WHO Classification of Tumours 5th Edition | 2018 | 8 |
| 11 | 2018 | 1 | |
| 12 | 2015 | 11 | |
| 13 | 2013 | 7 | |
| 14 | 2012 | 28 | |
| 15 | 2011 | 63 | |
| 16 | 2009 | 20 | |
| 17 | 2008 | 97 | |
| 18 | 2008 | 33 | |
| 19 | 2007 | 12 | |
| 20 | 2006 | 39 |
About Any Cheung
Any Cheung is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Oncology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 311 papers that have together received 9.5k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (58 papers), Gestational Trophoblastic Disease Studies (52 papers), Ovarian cancer diagnosis and treatment (42 papers), Prenatal Screening and Diagnostics (37 papers), Endometrial and Cervical Cancer Treatments (27 papers), Epigenetics and DNA Methylation (27 papers), Cancer-related Molecular Pathways (22 papers) and Uterine Myomas and Treatments (15 papers). The work is most often cited by research in Obstetrics and Gynecology (1.3k citations), Reproductive Medicine (1.2k citations), Cancer Research (1.6k citations), Oncology (1.8k citations) and Molecular Biology (4.5k citations). Any Cheung has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Hys Ngan, US Khoo, Philip P.C. Ip, Michelle K.Y. Siu, Kelvin Y.K. Chan, Karen K. L. Chan, Esther S.Y. Wong, Vincent W.S. Liu, Alice S.T. Wong and Wei‐Cheng Xue. Their work appears in journals such as Histopathology, Gynecologic Oncology, International Journal of Gynecological Pathology, PLoS ONE and Cancer Research.
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.