Kate Day
Impact in
- Reproductive Medicine top 1%
- Hypothalamic control of reproductive hormones
- Endometriosis Research and Treatment
- Ovarian function and disorders
- Obstetrics and Gynecology top 1%
- Pregnancy and preeclampsia studies
Papers in
-
- Pregnancy and preeclampsia studies 3
- Uterine Myomas and Treatments 2
-
- Endometriosis Research and Treatment 2
- Hypothalamic control of reproductive hormones 1
- Co-authors
- D. Stephen Charnock‐JonesS. K. SmithDiana R. LicenceYulong HeDawn E. ClarkEmma AshwinSimon Baron‐CohenOfer Golan
- Journals
- Human Reproduction (1 paper)Reproductive BioMedicine Online (1 paper)Biology of Reproduction (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)Journal of Autism and Developmental Disorders (1 paper)
- Partner nations
- United KingdomCanadaIsrael
In The Last Decade
Kate Day
9 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 99
- Reproductive Medicine 667
- Obstetrics and Gynecology 564
- Immunology 461
- Endocrine and Autonomic Systems 94
- Cognitive Neuroscience 252
Countries citing papers authored by Kate Day
This map shows the geographic impact of Kate Day'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 Kate Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Day more than expected).
Fields of papers citing papers by Kate Day
This network shows the impact of papers produced by Kate Day. 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 Kate Day. The network helps show where Kate Day may publish in the future.
Co-authors
The 25 scholars most cited alongside Kate Day, 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 | 2009 | 290 | |
| 2 | Facilitating emotional understanding and face-processing in young children with autism spectrum conditions using animations of vehicles with faces | 2008 | 6 |
| 3 | 2007 | 478 | |
| 4 | 2006 | 15 | |
| 5 | 2006 | 48 | |
| 6 | 2001 | 256 | |
| 7 | 1999 | 186 | |
| 8 | 1998 | 330 | |
| 9 | 1996 | 11 |
About Kate Day
Kate Day is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Immunology and Allergy, Cognitive Neuroscience and Cell Biology, having authored 9 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Uterine Myomas and Treatments (2 papers), Endometriosis Research and Treatment (2 papers), Autism Spectrum Disorder Research (2 papers), Hypothalamic control of reproductive hormones (1 paper), Reproductive System and Pregnancy (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Reproductive Medicine (667 citations), Obstetrics and Gynecology (564 citations), Immunology (461 citations), Endocrine and Autonomic Systems (94 citations) and Cognitive Neuroscience (252 citations). Kate Day has collaborated with scholars based in United Kingdom, Canada and Israel. Frequent co-authors include D. Stephen Charnock‐Jones, S. K. Smith, Diana R. Licence, Yulong He, Dawn E. Clark, Emma Ashwin, Simon Baron‐Cohen, Ofer Golan, Yael Granader and Anthony N. Corps. Their work appears in journals such as Human Reproduction, Reproductive BioMedicine Online, Biology of Reproduction, The International Journal of Biochemistry & Cell Biology and Journal of Autism and Developmental Disorders.
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.