Helen Kay
- Obstetrics and Gynecology top 0.5%
- Pediatrics, Perinatology and Child Health top 1%
- Immunology top 10%
- Surgery
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- B S MahonyJames P. RiceScott W. WalshYuping WangJoanne KurtzbergBarton F. HaynesMargaret E. MartinStephen Tsoi
- Topics
- Pregnancy and preeclampsia studies (28 papers)Birth, Development, and Health (20 papers)Prenatal Screening and Diagnostics (9 papers)
- Journals
- The Journal of Experimental MedicineSHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Helen Kay
84 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 144
- Obstetrics and Gynecology 989
- Pediatrics, Perinatology and Child Health 843
- Immunology 351
- Surgery 241
- Public Health, Environmental and Occupational Health 237
Countries citing papers authored by Helen Kay
This map shows the geographic impact of Helen Kay'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 Helen Kay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen Kay more than expected).
Fields of papers citing papers by Helen Kay
This network shows the impact of papers produced by Helen Kay. 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 Helen Kay. The network helps show where Helen Kay may publish in the future.
Co-authorship network of co-authors of Helen Kay
This figure shows the co-authorship network connecting the top 25 collaborators of Helen Kay. A scholar is included among the top collaborators of Helen Kay 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 Helen Kay. Helen Kay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 6 | |
| 4 | The placenta : from development to disease | 58 |
| 5 | 3 | |
| 6 | 65 | |
| 7 | 59 | |
| 8 | 12 | |
| 9 | 18 | |
| 10 | 51 | |
| 11 | 41 | |
| 12 | 67 | |
| 13 | 8 | |
| 14 | 36 | |
| 15 | 42 | |
| 16 | 32 | |
| 17 | 7 | |
| 18 | 194 | |
| 19 | 196 | |
| 20 | 24 |
About Helen Kay
Helen Kay is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Internal Medicine, having authored 84 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (28 papers), Birth, Development, and Health (20 papers) and Prenatal Screening and Diagnostics (9 papers). The work is most often cited by research in Obstetrics and Gynecology (989 citations), Pediatrics, Perinatology and Child Health (843 citations) and Reproductive Medicine (174 citations). Helen Kay has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include B S Mahony, James P. Rice, Scott W. Walsh, Yuping Wang, Joanne Kurtzberg, Barton F. Haynes, Margaret E. Martin, Stephen Tsoi, Kreg Grindle and Ann Walker. Their work appears in journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología 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.