Mor Jack Ng
Impact in
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
- Gestational Diabetes Research and Management
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- Sperm and Testicular Function
Papers in
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- Pregnancy and preeclampsia studies 6
- Gestational Diabetes Research and Management 2
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- Birth, Development, and Health 4
- Co-authors
- Kok Hian Tan (12 shared papers)Mahesh Sangrithi (1 shared paper)Prabhakaran Munusamy (1 shared paper)Sai Kiang Lim (2 shared papers)Soon Sim Tan (2 shared papers)Siu Kwan Sze (1 shared paper)Tam Ha (2 shared papers)Bernard Su Min Chern (6 shared papers)
- Journals
- BMJ Open (1 paper)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)BMC Pregnancy and Childbirth (1 paper)American Journal of Obstetrics and Gynecology (1 paper)Journal of Perinatal Medicine (1 paper)
- Partner nations
- SingaporeChinaNew Zealand
In The Last Decade
Mor Jack Ng
13 papers receiving 263 citations
Peers
Comparison fields: 5 of 64
- Obstetrics and Gynecology 92
- Reproductive Medicine 32
- Family Practice 8
- Cancer Research 53
- Public Health, Environmental and Occupational Health 63
Countries citing papers authored by Mor Jack Ng
This map shows the geographic impact of Mor Jack Ng'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 Mor Jack Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mor Jack Ng more than expected).
Fields of papers citing papers by Mor Jack Ng
This network shows the impact of papers produced by Mor Jack Ng. 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 Mor Jack Ng. The network helps show where Mor Jack Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside Mor Jack Ng, 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 | 2020 | 67 | |
| 2 | 2014 | 65 | |
| 3 | 2018 | 53 | |
| 4 | 2017 | 26 | |
| 5 | 2019 | 11 | |
| 6 | 2015 | 11 | |
| 7 | 2018 | 9 | |
| 8 | 2019 | 8 | |
| 9 | 2017 | 7 | |
| 10 | Neonatal and Obstetric Risk Assessment (NORA) Pregnancy Cohort Study in Singapore | 2018 | 4 |
| 11 | 2016 | 2 | |
| 12 | 2018 | 2 | |
| 13 | 2017 | 2 |
About Mor Jack Ng
Mor Jack Ng is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Molecular Biology and Surgery, having authored 13 papers that have together received 267 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (6 papers), Birth, Development, and Health (4 papers), Innovations in Medical Education (3 papers), MicroRNA in disease regulation (2 papers), Extracellular vesicles in disease (2 papers), Bariatric Surgery and Outcomes (2 papers), Gestational Diabetes Research and Management (2 papers) and Evaluation of Teaching Practices (2 papers). The work is most often cited by research in Obstetrics and Gynecology (92 citations), Reproductive Medicine (32 citations), Family Practice (8 citations), Cancer Research (53 citations) and Public Health, Environmental and Occupational Health (63 citations). Mor Jack Ng has collaborated with scholars based in Singapore, China and New Zealand. Frequent co-authors include Kok Hian Tan, Mahesh Sangrithi, Prabhakaran Munusamy, Sai Kiang Lim, Soon Sim Tan, Siu Kwan Sze, Tam Ha, Bernard Su Min Chern, George Yeo and John Carson Allen. Their work appears in journals such as BMJ Open, Clinical Chemistry and Laboratory Medicine (CCLM), BMC Pregnancy and Childbirth, American Journal of Obstetrics and Gynecology and Journal of Perinatal Medicine.
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.