Daniel L. Rolnik

8.4k total citations · 6 hit papers
175 papers, 5.0k citations indexed

About

Daniel L. Rolnik 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, Daniel L. Rolnik has authored 175 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Obstetrics and Gynecology, 116 papers in Pediatrics, Perinatology and Child Health and 34 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Daniel L. Rolnik's work include Pregnancy and preeclampsia studies (89 papers), Prenatal Screening and Diagnostics (41 papers) and Birth, Development, and Health (40 papers). Daniel L. Rolnik is often cited by papers focused on Pregnancy and preeclampsia studies (89 papers), Prenatal Screening and Diagnostics (41 papers) and Birth, Development, and Health (40 papers). Daniel L. Rolnik collaborates with scholars based in Australia, United Kingdom and Brazil. Daniel L. Rolnik's co-authors include K. H. Nicolaides, Liona C. Poon, D. Wright, Argyro Syngelaki, W. Plasencia, N. O’Gorman, Fabrício da Silva Costa, Jacques Jani, Nicola Persico and Ranjit Akolekar and has published in prestigious journals such as New England Journal of Medicine, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel L. Rolnik

156 papers receiving 4.9k citations

Hit Papers

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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.

Aspirin versus Placebo in Pregnancies at High Risk for Preterm Preeclampsia

2017 1.4k citations Daniel L. Rolnik, D. Wright et al. profile →
Pre-eclampsia

2023 388 citations Daniel L. Rolnik, Clare Whitehead et al. profile →
ASPRE trial: performance of screening for preterm pre‐eclampsia

2017 276 citations Daniel L. Rolnik, D. Wright et al. Ultrasound in Obstetrics and Gynecology profile →
Screening for pre‐eclampsia by maternal factors and biomarkers at 11–13 weeks' gestation

2018 247 citations Argyro Syngelaki, Liona C. Poon et al. Ultrasound in Obstetrics and Gynecology profile →
Multicenter screening for pre‐eclampsia by maternal factors and biomarkers at 11–13 weeks' gestation: comparison with NICE guidelines and ACOG recommendations

2017 228 citations N. O’Gorman, D. Wright et al. Ultrasound in Obstetrics and Gynecology profile →
Prevention of preeclampsia with aspirin

2020 220 citations Daniel L. Rolnik, K. H. Nicolaides et al. American Journal of Obstetrics and Gynecology profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Daniel L. Rolnik	4.0k	3.5k	854	652	496	175	5.0k
Benjamin Sachs	4.0k 1.0×	3.0k 0.9×	422 0.5×	1.6k 2.4×	338 0.7×	17	4.6k
Eyal Schiff	2.6k 0.6×	2.5k 0.7×	1.5k 1.8×	400 0.6×	283 0.6×	166	5.0k
Michael Peek	1.6k 0.4×	1.1k 0.3×	763 0.9×	668 1.0×	280 0.6×	111	3.1k
Reynir Tómas Geirsson	2.0k 0.5×	1.6k 0.4×	613 0.7×	389 0.6×	247 0.5×	108	2.9k
D. Janga	2.1k 0.5×	1.7k 0.5×	612 0.7×	331 0.5×	299 0.6×	23	2.9k
Ioannis Gallos	1.6k 0.4×	1.1k 0.3×	1.5k 1.7×	755 1.2×	54 0.1×	101	3.6k
Alyson Hunter	1.6k 0.4×	1.5k 0.4×	310 0.4×	196 0.3×	91 0.2×	69	2.1k
Sorina Grisaru‐Granovsky	680 0.2×	717 0.2×	520 0.6×	194 0.3×	126 0.3×	177	2.0k
Jeltsje S. Cnossen	1.4k 0.4×	1.1k 0.3×	187 0.2×	174 0.3×	142 0.3×	39	1.9k
I.Z. MacKenzie	816 0.2×	693 0.2×	484 0.6×	117 0.2×	116 0.2×	71	1.9k

Countries citing papers authored by Daniel L. Rolnik

Since Specialization

Citations

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

Fields of papers citing papers by Daniel L. Rolnik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. Rolnik. 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 Daniel L. Rolnik. The network helps show where Daniel L. Rolnik may publish in the future.

Co-authorship network of co-authors of Daniel L. Rolnik

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel L. Rolnik. A scholar is included among the top collaborators of Daniel L. Rolnik 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 Daniel L. Rolnik. Daniel L. Rolnik 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

Tiruneh, Sofonyas Abebaw, Daniel L. Rolnik, Helena Teede, & Joanne Enticott. (2025). Temporal validation of machine learning models for pre-eclampsia prediction using routinely collected maternal characteristics: A validation study. Computers in Biology and Medicine. 191. 110183–110183. 1 indexed citations

Marzan, Melvin Barrientos, Daniel L. Rolnik, Joanne Said, et al.. (2025). Geospatial Determinants of Maternal Overweight, Gestational Diabetes and Large for Gestational Age Birthweight in Melbourne During and After COVID ‐19 Lockdowns. Australian and New Zealand Journal of Obstetrics and Gynaecology. 65(4). 489–497.

Au, Nicole, Malitha Patabendige, Daljit Singh Sahota, et al.. (2025). Misoprostol Versus Oxytocin for the Prevention of Postpartum Haemorrhage: A Systematic Review and Meta‐Analysis Including Individual Participant Data. BJOG An International Journal of Obstetrics & Gynaecology. 132(10). 1364–1377. 1 indexed citations

Tiruneh, Sofonyas Abebaw, Daniel L. Rolnik, Fabrício da Silva Costa, et al.. (2025). External validation of the Fetal Medicine Foundation model for preterm pre‐eclampsia prediction at 11–14 weeks in an Australian population. Acta Obstetricia Et Gynecologica Scandinavica. 104(9). 1774–1782. 3 indexed citations

Patabendige, Malitha, Daniel L. Rolnik, Wentao Li, Andrew Weeks, & Ben Willem Mol. (2024). How labor induction methods have evolved throughout history, from the Egyptian era to the present day: evolution, effectiveness, and safety. American Journal of Obstetrics & Gynecology MFM. 7(1). 101515–101515.

Belsti, Yitayeh, Aya Mousa, Lisa Moran, et al.. (2024). The Use of Multiple Medications During Pregnancy Among an Ethnically Diverse Population in South-Eastern Melbourne: A Retrospective Analysis to Explore Potential Risks and Complications. Drug Safety. 48(1). 87–97.

Rolnik, Daniel L., et al.. (2024). Performance of the first-trimester Fetal Medicine Foundation competing risks model for preeclampsia prediction: an external validation study in Brazil. AJOG Global Reports. 4(2). 100346–100346.

Tiruneh, Sofonyas Abebaw, Daniel L. Rolnik, Helena Teede, & Joanne Enticott. (2024). Prediction of pre-eclampsia with machine learning approaches: Leveraging important information from routinely collected data. International Journal of Medical Informatics. 192. 105645–105645. 6 indexed citations

Fernando, Shavi, Melody Menezes, Ben W. Mol, et al.. (2023). Placental, maternal, fetal, and technical origins of false-positive cell-free DNA screening results. American Journal of Obstetrics and Gynecology. 230(4). 381–389. 14 indexed citations

10.

Zhang, Ying, et al.. (2023). Successful pregnancy rates amongst patients undergoing ovarian tissue cryopreservation for non-malignant indications: A systematic review and meta-analysis. European Journal of Obstetrics & Gynecology and Reproductive Biology. 292. 30–39. 6 indexed citations

11.

Palmer, Kirsten R., Daniel L. Rolnik, Marcel F. Nold, et al.. (2023). CO-Sprout—A Pilot Double-Blinded Placebo-Controlled Randomised Trial of Broccoli Sprout Powder Supplementation for Pregnant Women with COVID-19 on the Duration of COVID-19-Associated Symptoms: Study Protocol. Nutrients. 15(18). 3980–3980. 2 indexed citations

12.

Rolnik, Daniel L., Argyro Syngelaki, N. O’Gorman, et al.. (2023). ASPRE trial: effects of aspirin on mean arterial blood pressure and uterine artery pulsatility index trajectories in pregnancy. Ultrasound in Obstetrics and Gynecology. 61(6). 691–697. 16 indexed citations

13.

Mol, Ben W., et al.. (2023). The impact of body mass index on labour management and mode of delivery: A retrospective matched cohort study. Australian and New Zealand Journal of Obstetrics and Gynaecology. 64(3). 216–222. 2 indexed citations

14.

Sepúlveda, Waldo, et al.. (2023). First‐trimester ventriculomegaly in fetuses with callosal agenesis: Cause or association?. Journal of Clinical Ultrasound. 51(5). 827–832. 1 indexed citations

15.

Mol, Ben W., Shavi Fernando, Melody Menezes, et al.. (2023). The accuracy of cell‐free DNA screening for fetal segmental copy number variants: A systematic review and meta‐analysis. BJOG An International Journal of Obstetrics & Gynaecology. 130(6). 549–559. 10 indexed citations

16.

Volpe, N., Cihat Şen, Şifa Turan, et al.. (2022). First trimester examination of fetal anatomy: clinical practice guideline by the World Association of Perinatal Medicine (WAPM) and the Perinatal Medicine Foundation (PMF). Journal of Perinatal Medicine. 50(7). 863–877. 16 indexed citations

17.

Volpe, N., Cihat Şen, Şifa Turan, et al.. (2022). First trimester examination of fetal anatomy: clinical practice guideline by the World Association of Perinatal Medicine (WAPM) and the Perinatal Medicine Foundation (PMF). SHILAP Revista de lepidopterología. 30(2). 87–102. 2 indexed citations

18.

Rolnik, Daniel L., et al.. (2020). Prediction of preterm pre‐eclampsia at midpregnancy using a multivariable screening algorithm. Australian and New Zealand Journal of Obstetrics and Gynaecology. 60(5). 675–682. 8 indexed citations

19.

Rolnik, Daniel L., et al.. (2019). Midpregnancy testing for soluble fms-like tyrosine kinase 1 (sFlt-1) and placental growth factor (PlGF): An inter-assay comparison of three automated immunoassay platforms. Placenta. 86. 11–14. 3 indexed citations

20.

O’Gorman, N., D. Wright, Liona C. Poon, et al.. (2017). Multicenter screening for pre‐eclampsia by maternal factors and biomarkers at 11–13 weeks' gestation: comparison with NICE guidelines and ACOG recommendations. Ultrasound in Obstetrics and Gynecology. 49(6). 756–760. 228 indexed citations breakdown →

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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