John Allotey

5.2k total citations · 1 hit paper
58 papers, 1.3k citations indexed

About

John Allotey is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, John Allotey has authored 58 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Obstetrics and Gynecology, 27 papers in Pediatrics, Perinatology and Child Health and 19 papers in Public Health, Environmental and Occupational Health. Recurrent topics in John Allotey's work include Pregnancy and preeclampsia studies (17 papers), Gestational Diabetes Research and Management (12 papers) and Pregnancy and Medication Impact (8 papers). John Allotey is often cited by papers focused on Pregnancy and preeclampsia studies (17 papers), Gestational Diabetes Research and Management (12 papers) and Pregnancy and Medication Impact (8 papers). John Allotey collaborates with scholars based in United Kingdom, Australia and Spain. John Allotey's co-authors include Khalid S. Khan, Shakila Thangaratinam, Javier Zamora, Fiona Cheong-See, David Arroyo-Manzano, Ben W. Mol, Joris van der Post, David G. Moore, Deirdre Birtles and Madhavi Kalidindi and has published in prestigious journals such as The Lancet, Diabetes and Scientific Reports.

In The Last Decade

John Allotey

53 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cognitive, motor, behavioural and academic performances of children born preterm: a meta‐analysis and systematic review involving 64 061 children

2017 369 citations John Allotey, Javier Zamora et al. BJOG An International Journal of Obstetrics & Gynaecology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Allotey United Kingdom	16	795	449	284	191	185	58	1.3k
Manju Monga United States	25	465 0.6×	414 0.9×	465 1.6×	106 0.6×	49 0.3×	99	1.5k
Caroline Signore United States	20	626 0.8×	493 1.1×	331 1.2×	95 0.5×	48 0.3×	32	1.4k
Michael J. Fassett United States	20	664 0.8×	725 1.6×	532 1.9×	184 1.0×	195 1.1×	65	1.6k
Shoji Satoh Japan	23	939 1.2×	529 1.2×	298 1.0×	269 1.4×	42 0.2×	83	1.6k
Teresa Rodrigues Portugal	21	388 0.5×	342 0.8×	271 1.0×	204 1.1×	26 0.1×	70	1.3k
Gretchen Bandoli United States	23	454 0.6×	335 0.7×	823 2.9×	80 0.4×	81 0.4×	107	1.5k
LM Irgens Norway	20	593 0.7×	280 0.6×	243 0.9×	373 2.0×	45 0.2×	41	1.7k
Petra Jones United Kingdom	3	497 0.6×	121 0.3×	425 1.5×	172 0.9×	157 0.8×	4	1.3k
Lone Krebs Denmark	23	1.2k 1.5×	1.1k 2.5×	559 2.0×	95 0.5×	47 0.3×	107	1.6k
Wendy Kinzler United States	21	750 0.9×	578 1.3×	351 1.2×	147 0.8×	30 0.2×	56	1.3k

Countries citing papers authored by John Allotey

Since Specialization

Citations

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

Fields of papers citing papers by John Allotey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Allotey

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

All Works

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20 of 20 papers shown

Snell, Kym I E, Andrew W. Horne, Julie Dodds, et al.. (2025). Predicting pain reduction following laparoscopic surgery for endometriosis: a retrospective cohort study using UK national and research databases. BMJ Open. 15(8). e099374–e099374.

Fernández‐Félix, Borja M., et al.. (2025). Effects of maternal education on maternal and perinatal outcomes: An individual participant data meta‐analysis of 2 356 402 pregnancies. International Journal of Gynecology & Obstetrics. 172(2). 886–895.

Sheikh, Jameela, John Allotey, Soha Sobhy, et al.. (2025). Maternal paracetamol (acetaminophen) use during pregnancy and risk of autism spectrum disorder and attention deficit/hyperactivity disorder in offspring: umbrella review of systematic reviews. BMJ. 391. e088141–e088141. 3 indexed citations

Prasad, Smriti, Laura A. Magee, Peter von Dadelszen, et al.. (2025). Interventions to Address Disparities in Perinatal Outcomes by Ethnicity: A Systematic Review. BJOG An International Journal of Obstetrics & Gynaecology. 132(13). 2009–2023. 2 indexed citations

Akombi-Inyang, Blessing, Judith Byaruhanga, Sheila A. Boamah, John Allotey, & Prince Atorkey. (2024). Factors Associated with Psychological Distress during COVID-19: A Cross-Sectional Study of Sub-Saharan African Migrant Workers across Australia and Canada. International Journal of Environmental Research and Public Health. 21(9). 1127–1127. 2 indexed citations

Hughes, Anita J., Annalise Weckesser, Elaine Denny, et al.. (2024). Barriers and facilitators to healthcare practitioners providing care for pregnant women with epilepsy: A systematic review and narrative synthesis. Seizure. 118. 38–46.

Fountas, Athanasios, et al.. (2024). Central diabetes insipidus (vasopressin deficiency) after surgery for pituitary tumours: a systematic review and meta-analysis. European Journal of Endocrinology. 191(1). S1–S13. 9 indexed citations

Heslehurst, Nicola, Theophile Bigirumurame, M. Dawn Teare, et al.. (2023). Study of How Adiposity in Pregnancy has an Effect on outcomeS (SHAPES): protocol for a prospective cohort study. BMJ Open. 13(9). e073545–e073545. 1 indexed citations

Sheikh, Jameela, John Allotey, Tania Kew, et al.. (2023). Vulnerabilities and reparative strategies during pregnancy, childbirth, and the postpartum period: moving from rhetoric to action. EClinicalMedicine. 67. 102264–102264. 13 indexed citations

10.

Sheikh, Jameela, Heidi Lawson, John Allotey, et al.. (2022). Global variations in the burden of SARS-CoV-2 infection and its outcomes in pregnant women by geographical region and country’s income status: a meta-analysis. BMJ Global Health. 7(11). e010060–e010060. 12 indexed citations

11.

Cooray, Shamil D., Jacqueline Boyle, Georgia Soldatos, et al.. (2022). Development, validation and clinical utility of a risk prediction model for adverse pregnancy outcomes in women with gestational diabetes: The PeRSonal GDM model. EClinicalMedicine. 52. 101637–101637. 11 indexed citations

12.

Coomar, Dyuti, Jonathan Hazlehurst, Charlie Foster, et al.. (2021). Diet and physical activity in pregnancy to prevent gestational diabetes: a protocol for an individual participant data (IPD) meta-analysis on the differential effects of interventions with economic evaluation. BMJ Open. 11(6). e048119–e048119. 3 indexed citations

13.

Marlin, Nadine, Carol Rivas, John Allotey, et al.. (2021). Development and Validation of Clinical Prediction Models for Surgical Success in Patients With Endometriosis: Protocol for a Mixed Methods Study. JMIR Research Protocols. 10(4). e20986–e20986. 4 indexed citations

14.

Townsend, Rosemary, Filomena Giulia Sileo, John Allotey, et al.. (2021). Prediction of Stillbirth: An Umbrella Review of Evaluation of Prognostic Variables. Obstetrical & Gynecological Survey. 76(6). 315–317.

15.

Townsend, Rosemary, John Allotey, Julie Dodds, et al.. (2020). Prediction of stillbirth: an umbrella review of evaluation of prognostic variables. BJOG An International Journal of Obstetrics & Gynaecology. 128(2). 238–250. 28 indexed citations

16.

Cooray, Shamil D., Jacqueline Boyle, Georgia Soldatos, et al.. (2020). Protocol for development and validation of a clinical prediction model for adverse pregnancy outcomes in women with gestational diabetes. BMJ Open. 10(11). e038845–e038845. 11 indexed citations

17.

Cooray, Shamil D., et al.. (2020). The Unrealised Potential for Predicting Pregnancy Complications in Women with Gestational Diabetes: A Systematic Review and Critical Appraisal. International Journal of Environmental Research and Public Health. 17(9). 3048–3048. 16 indexed citations

18.

Townsend, Rosemary, John Allotey, Alexander Heazell, et al.. (2020). Can risk prediction models help us individualise stillbirth prevention? A systematic review and critical appraisal of published risk models. BJOG An International Journal of Obstetrics & Gynaecology. 128(2). 214–224. 15 indexed citations

19.

Deo, Nandita, et al.. (2020). Virtual reality for acute pain in outpatient hysteroscopy: a randomised controlled trial. BJOG An International Journal of Obstetrics & Gynaecology. 128(1). 87–95. 53 indexed citations

20.

Allotey, John, Borja M. Fernández‐Félix, Javier Zamora, et al.. (2019). Predicting seizures in pregnant women with epilepsy: Development and external validation of a prognostic model. PLoS Medicine. 16(5). e1002802–e1002802. 23 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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