Shu Qin Wei
- Obstetrics and Gynecology top 0.5%
- Pediatrics, Perinatology and Child Health top 1%
- Public Health, Environmental and Occupational Health top 2%
- Pathology and Forensic Medicine top 2%
- Epidemiology top 10%
- Co-authors
- Zhong‐Cheng LuoWilliam D. FraserNathalie AugerMarianne Bilodeau‐BertrandHuiping QiShiliang LiuHairong XuAnne Monique Nuyt
- Topics
- Pregnancy and preeclampsia studies (28 papers)Birth, Development, and Health (23 papers)Gestational Diabetes Research and Management (17 papers)
- Cited by
- Obstetrics and GynecologyPediatrics, Perinatology and Child HealthPathology and Forensic Medicine
- Journals
- PLoS ONEAmerican Journal of Clinical NutritionThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- CanadaChinaIvory Coast
In The Last Decade
Shu Qin Wei
80 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Obstetrics and Gynecology 1.3k
- Pediatrics, Perinatology and Child Health 888
- Public Health, Environmental and Occupational Health 747
- Pathology and Forensic Medicine 562
- Epidemiology 307
Countries citing papers authored by Shu Qin Wei
This map shows the geographic impact of Shu Qin Wei'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 Shu Qin Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Qin Wei more than expected).
Fields of papers citing papers by Shu Qin Wei
This network shows the impact of papers produced by Shu Qin Wei. 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 Shu Qin Wei. The network helps show where Shu Qin Wei may publish in the future.
Co-authorship network of co-authors of Shu Qin Wei
This figure shows the co-authorship network connecting the top 25 collaborators of Shu Qin Wei. A scholar is included among the top collaborators of Shu Qin Wei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shu Qin Wei. Shu Qin Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 12 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 8 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 17 | |
| 14 | 40 | |
| 15 | 21 | |
| 16 | 16 | |
| 17 | 45 | |
| 18 | 16 | |
| 19 | 36 | |
| 20 | 24 |
About Shu Qin Wei
Shu Qin Wei is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Pathology and Forensic Medicine, having authored 83 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (28 papers), Birth, Development, and Health (23 papers) and Gestational Diabetes Research and Management (17 papers). The work is most often cited by research in Obstetrics and Gynecology (1.3k citations), Pediatrics, Perinatology and Child Health (888 citations) and Pathology and Forensic Medicine (562 citations). Shu Qin Wei has collaborated with scholars based in Canada, China and Ivory Coast. Frequent co-authors include Zhong‐Cheng Luo, William D. Fraser, Nathalie Auger, Marianne Bilodeau‐Bertrand, Huiping Qi, Shiliang Liu, William D. Fraser, Hairong Xu, Anne Monique Nuyt and Wei Guang Bi. Their work appears in journals such as PLoS ONE, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.
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.