Kee Ong
Impact in
- Reproductive Medicine top 1%
- Endometriosis Research and Treatment
- Ovarian function and disorders
- Obstetrics and Gynecology top 2%
- Gestational Diabetes Research and Management
- Gynecological conditions and treatments
- Pregnancy and preeclampsia studies
Papers in
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- Ovarian function and disorders 3
- Endometriosis Research and Treatment 1
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- Reproductive Biology and Fertility 3
- Co-authors
- Tin Chiu Li (2 shared papers)Mostafa Metwally (2 shared papers)William J. Ledger (3 shared papers)Timur Gürgan (1 shared paper)Aygül Demi̇rol (1 shared paper)Fenghua Liu (1 shared paper)Rachel Cutting (1 shared paper)Carol Coughlan (1 shared paper)
- Journals
- Reproductive BioMedicine Online (2 papers)Women s Health (2 papers)Human Reproduction (2 papers)Fertility and Sterility (1 paper)PLoS ONE (1 paper)
- Partner nations
- AustraliaUnited KingdomChina
In The Last Decade
Kee Ong
9 papers receiving 1.0k citations
Kee Ong's Hit Papers
Peers
Comparison fields: 5 of 66
- Reproductive Medicine 417
- Obstetrics and Gynecology 273
- Immunology 523
- Public Health, Environmental and Occupational Health 304
- Pediatrics, Perinatology and Child Health 140
Countries citing papers authored by Kee Ong
This map shows the geographic impact of Kee Ong'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 Kee Ong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kee Ong more than expected).
Fields of papers citing papers by Kee Ong
This network shows the impact of papers produced by Kee Ong. 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 Kee Ong. The network helps show where Kee Ong may publish in the future.
Co-authors
The 20 scholars most cited alongside Kee Ong, 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 | Recurrent implantation failure: definition and management Hit paper breakdown → | 2013 | 632 |
| 2 | 2008 | 358 | |
| 3 | 2008 | 56 | |
| 4 | 2016 | 15 | |
| 5 | 2022 | 8 | |
| 6 | 2006 | 4 | |
| 7 | 2021 | 1 | |
| 8 | 2006 | 1 | |
| 9 | 2007 | 1 |
About Kee Ong
Kee Ong is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Cardiology and Cardiovascular Medicine and Obstetrics and Gynecology, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ovarian function and disorders (3 papers), Reproductive Biology and Fertility (3 papers), Lipid metabolism and disorders (2 papers), Assisted Reproductive Technology and Twin Pregnancy (2 papers), Maternal and fetal healthcare (1 paper), Blood properties and coagulation (1 paper), Endometriosis Research and Treatment (1 paper) and Gynecological conditions and treatments (1 paper). The work is most often cited by research in Reproductive Medicine (417 citations), Obstetrics and Gynecology (273 citations), Immunology (523 citations), Public Health, Environmental and Occupational Health (304 citations) and Pediatrics, Perinatology and Child Health (140 citations). Kee Ong has collaborated with scholars based in Australia, United Kingdom and China. Frequent co-authors include Tin Chiu Li, Mostafa Metwally, William J. Ledger, Timur Gürgan, Aygül Demi̇rol, Fenghua Liu, Rachel Cutting, Carol Coughlan, Q. Wang and Hassan Sallam. Their work appears in journals such as Reproductive BioMedicine Online, Women s Health, Human Reproduction, Fertility and Sterility and PLoS ONE.
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.