Caroline J. Shaw
- Pediatrics, Perinatology and Child Health top 5%
- Obstetrics and Gynecology top 5%
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Co-authors
- C. LeesDino A. GiussaniIan RivensGail ter HaarYouguo NiuKimberley J. BottingNeil ScoldingJohn M. Shneerson
- Topics
- Pregnancy and preeclampsia studies (11 papers)Birth, Development, and Health (5 papers)Assisted Reproductive Technology and Twin Pregnancy (5 papers)
- Cited by
- Obstetrics and GynecologyPediatrics, Perinatology and Child HealthEndocrine and Autonomic Systems
- Partner nations
- United KingdomBelgiumUnited States
In The Last Decade
Caroline J. Shaw
25 papers receiving 413 citations
Peers
Comparison fields: 5 of 79
- Pediatrics, Perinatology and Child Health 210
- Obstetrics and Gynecology 155
- Public Health, Environmental and Occupational Health 72
- Molecular Biology 57
- Pulmonary and Respiratory Medicine 52
Countries citing papers authored by Caroline J. Shaw
This map shows the geographic impact of Caroline J. Shaw'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 Caroline J. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline J. Shaw more than expected).
Fields of papers citing papers by Caroline J. Shaw
This network shows the impact of papers produced by Caroline J. Shaw. 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 Caroline J. Shaw. The network helps show where Caroline J. Shaw may publish in the future.
Co-authorship network of co-authors of Caroline J. Shaw
This figure shows the co-authorship network connecting the top 25 collaborators of Caroline J. Shaw. A scholar is included among the top collaborators of Caroline J. Shaw 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 Caroline J. Shaw. Caroline J. Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 12 | |
| 3 | 2 | |
| 4 | 22 | |
| 5 | 0 | |
| 6 | 16 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 14 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 28 | |
| 13 | 44 | |
| 14 | 9 | |
| 15 | 44 | |
| 16 | 1 | |
| 17 | 13 | |
| 18 | 13 | |
| 19 | 62 | |
| 20 | Reproductive and financial impact of a do-it-yourself artificial insemination programme compared with keeping a bull. | 4 |
About Caroline J. Shaw
Caroline J. Shaw is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Developmental Neuroscience, having authored 26 papers that have together received 417 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (11 papers), Birth, Development, and Health (5 papers) and Assisted Reproductive Technology and Twin Pregnancy (5 papers). The work is most often cited by research in Obstetrics and Gynecology (155 citations), Pediatrics, Perinatology and Child Health (210 citations) and Endocrine and Autonomic Systems (20 citations). Caroline J. Shaw has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include C. Lees, Dino A. Giussani, Ian Rivens, Gail ter Haar, Youguo Niu, Kimberley J. Botting, Neil Scolding, John M. Shneerson, H. Kellar-Wood and Ravi Vaidyanathan. Their work appears in journals such as The Journal of Physiology, Annals of Neurology 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.