Andrew Drakeley

1.4k total citations
54 papers, 858 citations indexed

About

Andrew Drakeley is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Andrew Drakeley has authored 54 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Public Health, Environmental and Occupational Health, 24 papers in Reproductive Medicine and 19 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Andrew Drakeley's work include Reproductive Biology and Fertility (20 papers), Assisted Reproductive Technology and Twin Pregnancy (15 papers) and Ovarian function and disorders (11 papers). Andrew Drakeley is often cited by papers focused on Reproductive Biology and Fertility (20 papers), Assisted Reproductive Technology and Twin Pregnancy (15 papers) and Ovarian function and disorders (11 papers). Andrew Drakeley collaborates with scholars based in United Kingdom, Mexico and United States. Andrew Drakeley's co-authors include Devender Roberts, Žarko Alfirević, Alejandro Chávez-Badiola, Adolfo Flores-Saiffe Farías, Gerardo Mendizabal‐Ruiz, Roy G. Farquharson, Siobhan Quenby, Jacques Cohen, James Penny and John Anthony and has published in prestigious journals such as Scientific Reports, Cochrane Database of Systematic Reviews and International Journal of Molecular Sciences.

In The Last Decade

Andrew Drakeley

49 papers receiving 811 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrew Drakeley United Kingdom 15 486 279 238 230 204 54 858
Norbert Winer France 12 118 0.2× 232 0.8× 286 1.2× 235 1.0× 91 0.4× 49 884
Raanan Meyer Israel 14 280 0.6× 395 1.4× 491 2.1× 83 0.4× 44 0.2× 172 923
Ryu Matsuoka Japan 27 355 0.7× 1.4k 4.8× 979 4.1× 87 0.4× 179 0.9× 117 1.9k
Richard W. Lieberman United States 18 70 0.1× 95 0.3× 194 0.8× 108 0.5× 276 1.4× 56 927
Veronika Günther Germany 13 111 0.2× 44 0.2× 264 1.1× 190 0.8× 138 0.7× 34 634
E. Kirk United Kingdom 33 2.2k 4.6× 1.5k 5.3× 400 1.7× 177 0.8× 67 0.3× 84 2.7k
Ahmad Sayasneh United Kingdom 20 169 0.3× 115 0.4× 641 2.7× 785 3.4× 32 0.2× 59 1.1k
C. Kaihura Italy 14 110 0.2× 487 1.7× 643 2.7× 123 0.5× 105 0.5× 29 839
Giuseppe Trojano Italy 17 228 0.5× 168 0.6× 541 2.3× 468 2.0× 52 0.3× 65 936
Dominic Gabriel Iliescu Romania 13 57 0.1× 284 1.0× 161 0.7× 29 0.1× 174 0.9× 101 570

Countries citing papers authored by Andrew Drakeley

Since Specialization
Citations

This map shows the geographic impact of Andrew Drakeley'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 Andrew Drakeley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Drakeley more than expected).

Fields of papers citing papers by Andrew Drakeley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Drakeley. 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 Andrew Drakeley. The network helps show where Andrew Drakeley may publish in the future.

Co-authorship network of co-authors of Andrew Drakeley

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Drakeley. A scholar is included among the top collaborators of Andrew Drakeley 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 Andrew Drakeley. Andrew Drakeley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Drakeley, Andrew, R Grégoire, Linda Watkins, et al.. (2025). Double-stranded sperm DNA fragmentation assessed using comet assay is associated with recurrent pregnancy loss. Reproductive BioMedicine Online. 52(1). 105184–105184.
2.
Palmer, Ellen M., et al.. (2024). Impact of BMI on fertility in an otherwise healthy population: a systematic review and meta-analysis. BMJ Open. 14(10). e082123–e082123. 1 indexed citations
3.
White, David, Munyaradzi Dimairo, Cara Mooney, et al.. (2024). Outpatient paracentesis for the management of ovarian hyperstimulation syndrome: study protocol for the STOP-OHSS randomised controlled trial. BMJ Open. 14(1). e076434–e076434.
4.
Chávez-Badiola, Alejandro, Adolfo Flores-Saiffe Farías, Gerardo Mendizabal‐Ruiz, et al.. (2024). Use of artificial intelligence embryo selection based on static images to predict first-trimester pregnancy loss. Reproductive BioMedicine Online. 49(2). 103934–103934. 3 indexed citations
5.
Palmer, Giles, et al.. (2024). Use and understanding of AI in the ART laboratory: an international survey. Reproductive BioMedicine Online. 50(3). 104435–104435. 1 indexed citations
6.
Farías, Adolfo Flores-Saiffe, et al.. (2023). Automated identification of blastocyst regions at different development stages. Scientific Reports. 13(1). 15–15. 6 indexed citations
7.
Drakeley, Andrew, et al.. (2022). Fertility Preservation in Female Patients with Cancer. Clinical Oncology. 34(8). 508–513. 5 indexed citations
8.
9.
Chávez-Badiola, Alejandro, et al.. (2020). AUTOMATED IDENTIFICATION OF DEGRADED AREAS WITHIN BLASTOCYSTS BY MEANS OF ARTIFICIAL VISION. Fertility and Sterility. 114(3). e138–e138. 1 indexed citations
10.
Chávez-Badiola, Alejandro, et al.. (2020). Predicting pregnancy test results after embryo transfer by image feature extraction and analysis using machine learning. Scientific Reports. 10(1). 4394–4394. 49 indexed citations
11.
Chávez-Badiola, Alejandro, et al.. (2019). Deep learning for automatic determination of blastocyst embryo development stage. Fertility and Sterility. 112(3). e273–e273. 1 indexed citations
12.
Siristatidis, Charalampos, Susanna Dodd, & Andrew Drakeley. (2012). Aspirin is not recommended for women undergoing IVF. Human Reproduction Update. 18(3). 233–233. 7 indexed citations
13.
Drakeley, Andrew, et al.. (2008). Intrauterine insemination practice in the UK. Journal of Obstetrics and Gynaecology. 28(7). 738–741. 4 indexed citations
14.
Chávez-Badiola, Alejandro, et al.. (2007). Necrospermia, antisperm antibodies, and vasectomy. Fertility and Sterility. 89(3). 723.e5–723.e7. 9 indexed citations
15.
Grace, Jan & Andrew Drakeley. (2006). Preimplantation genetic diagnosis. British Journal of Hospital Medicine. 67(4). 197–199. 3 indexed citations
16.
Whitten, Melissa & Andrew Drakeley. (2004). Training in obstetrics and gynaecology in the UK: present and future. Hospital Medicine. 65(9). 520–523. 1 indexed citations
17.
Drakeley, Andrew. (2003). Cervical cerclage for prevention of preterm delivery: meta-analysis of randomized trials. Obstetrics and Gynecology. 102(3). 621–627. 53 indexed citations
18.
Drakeley, Andrew, et al.. (2002). Acute renal failure complicating severe preeclampsia requiring admission to an obstetric intensive care unit. American Journal of Obstetrics and Gynecology. 186(2). 253–256. 98 indexed citations
19.
Drakeley, Andrew & Charles R. King. (2001). The management of breast cancer survivors and those at increased risk of the disease. The Journal of the British Menopause Society. 7(4). 182–183. 1 indexed citations
20.
Drakeley, Andrew, Siobhan Quenby, & Roy G. Farquharson. (1998). Mid-trimester loss--appraisal of a screening protocol. Human Reproduction. 13(7). 1975–1980. 96 indexed citations

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.

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