Cristina Hickman
- Health Informatics top 2%
- Reproductive Medicine top 2%
- Reproductive Health and Technologies 7
- Ovarian function and disorders 5
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- Assisted Reproductive Technology and Twin Pregnancy 7
- Prenatal Screening and Diagnostics 6
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- Reproductive Biology and Fertility 25
- Organ Donation and Transplantation 1
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- Renal and related cancers 3
- Pluripotent Stem Cells Research 2
- Co-authors
- Alison CampbellNatalie M. BowmanSamantha DuffySimon FishelMarcos MeseguerNikica ZaninovićStuart LaveryJonas Malmsten
- Partner nations
- United KingdomUnited StatesBrazil
In The Last Decade
Cristina Hickman
34 papers receiving 762 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Health Informatics 62
- Reproductive Medicine 319
- Pediatrics, Perinatology and Child Health 416
- Public Health, Environmental and Occupational Health 590
- Obstetrics and Gynecology 29
Countries citing papers authored by Cristina Hickman
This map shows the geographic impact of Cristina Hickman'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 Cristina Hickman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Hickman more than expected).
Fields of papers citing papers by Cristina Hickman
This network shows the impact of papers produced by Cristina Hickman. 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 Cristina Hickman. The network helps show where Cristina Hickman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cristina Hickman, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 17 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 17 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 1 | |
| 11 | 2020 | 47 | |
| 12 | 2020 | 32 | |
| 13 | 2020 | 29 | |
| 14 | Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilizationbreakdown → | 2019 | 272 |
| 15 | 2019 | 1 | |
| 16 | Using artificial intelligence (AI) and time-lapse to improve human blastocyst morphology evaluation | 2018 | 2 |
| 17 | 2017 | 14 | |
| 18 | Using artificial intelligence to improve blastocyst morphology evaluation | 2017 | 2 |
| 19 | Evidence that differences between embryology laboratories can influence the rate of mitotic errors, leading to increased chromosomal mosaicism, with significant implications for IVF success rates | 2016 | 3 |
| 20 | 2013 | 274 |
About Cristina Hickman
Cristina Hickman is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Health Informatics, having authored 39 papers that have together received 804 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (25 papers), Reproductive Health and Technologies (7 papers), Assisted Reproductive Technology and Twin Pregnancy (7 papers), Prenatal Screening and Diagnostics (6 papers), Ovarian function and disorders (5 papers), Renal and related cancers (3 papers), Pluripotent Stem Cells Research (2 papers) and Organ Donation and Transplantation (1 paper). The work is most often cited by research in Health Informatics (62 citations), Reproductive Medicine (319 citations) and Pediatrics, Perinatology and Child Health (416 citations). Cristina Hickman has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Alison Campbell, Natalie M. Bowman, Samantha Duffy, Simon Fishel, Marcos Meseguer, Nikica Zaninović, Stuart Lavery, Jonas Malmsten, Iman Hajirasouliha and Marco Toschi. Their work appears in journals such as Human Reproduction, Fertility and Sterility and Reproduction.
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.