George Bugg

4.6k total citations
28 papers, 318 citations indexed

About

George Bugg is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Epidemiology. According to data from OpenAlex, George Bugg has authored 28 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Obstetrics and Gynecology, 17 papers in Pediatrics, Perinatology and Child Health and 6 papers in Epidemiology. Recurrent topics in George Bugg's work include Pregnancy and preeclampsia studies (13 papers), Gestational Diabetes Research and Management (6 papers) and Maternal and Perinatal Health Interventions (5 papers). George Bugg is often cited by papers focused on Pregnancy and preeclampsia studies (13 papers), Gestational Diabetes Research and Management (6 papers) and Maternal and Perinatal Health Interventions (5 papers). George Bugg collaborates with scholars based in United Kingdom, Egypt and United States. George Bugg's co-authors include Nia Jones, Nick Raine‐Fenning, Devasuda Anblagan, Penny Gowland, Jim Thornton, Peter Mansell, Carolyn Costigan, Zdenka Pausová, Gordon C. S. Smith and Tomáš Paus and has published in prestigious journals such as PLoS ONE, BJOG An International Journal of Obstetrics & Gynaecology and Health Technology Assessment.

In The Last Decade

George Bugg

27 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Bugg United Kingdom 10 166 156 61 53 26 28 318
MG Gravett United States 5 259 1.6× 208 1.3× 152 2.5× 69 1.3× 40 1.5× 6 444
M. G. Gravett United States 6 96 0.6× 79 0.5× 128 2.1× 50 0.9× 8 0.3× 7 264
Courtney Olson‐Chen United States 8 95 0.6× 213 1.4× 80 1.3× 62 1.2× 31 1.2× 26 346
Kim Boers Netherlands 12 296 1.8× 307 2.0× 56 0.9× 74 1.4× 5 0.2× 31 438
Akanksha Sood India 9 118 0.7× 196 1.3× 63 1.0× 132 2.5× 11 0.4× 28 394
Maria Mascola United States 8 102 0.6× 91 0.6× 168 2.8× 46 0.9× 105 4.0× 13 348
Courtney Gravett United States 8 123 0.7× 104 0.7× 124 2.0× 85 1.6× 9 0.3× 11 281
Marc-Yvon Arsenault Canada 7 76 0.5× 96 0.6× 43 0.7× 57 1.1× 7 0.3× 10 191
R O Davis United States 6 117 0.7× 73 0.5× 133 2.2× 79 1.5× 4 0.2× 7 307
Jeffrey M. Denney United States 10 123 0.7× 122 0.8× 114 1.9× 117 2.2× 2 0.1× 20 357

Countries citing papers authored by George Bugg

Since Specialization
Citations

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

Fields of papers citing papers by George Bugg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Bugg

This figure shows the co-authorship network connecting the top 25 collaborators of George Bugg. A scholar is included among the top collaborators of George Bugg 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 George Bugg. George Bugg 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.
Walker, Kate F., Melina Dritsaki, George Bugg, et al.. (2018). Labour Induction Near Term for Women Aged 35 or Over: An Economic Evaluation. Obstetric Anesthesia Digest. 38(1). 41–41. 1 indexed citations
2.
Malin, Gemma, et al.. (2014). PFM.39 Diagnostic accuracy of antenatal magnetic resonance imaging (MRI) to predict birth weight >90th centile or < 10th centile in the third trimester. Archives of Disease in Childhood Fetal & Neonatal. 99(Suppl 1). A94.2–A95. 4 indexed citations
3.
Jones, Nia, et al.. (2013). Fractional volume of placental vessels in women with diabetes using a novel stereological 3D power Doppler technique. Placenta. 34(11). 1002–1008. 7 indexed citations
4.
Anblagan, Devasuda, Nia Jones, Carolyn Costigan, et al.. (2013). Maternal Smoking during Pregnancy and Fetal Organ Growth: A Magnetic Resonance Imaging Study. PLoS ONE. 8(7). e67223–e67223. 64 indexed citations
5.
Spiby, Helen, Denis Walsh, Josephine Green, Anne Crompton, & George Bugg. (2013). Midwives' beliefs and concerns about telephone conversations with women in early labour. Midwifery. 30(9). 1036–1042. 23 indexed citations
6.
Puleston, Richard, George Bugg, Katja Höschler, et al.. (2013). Multi-Centre Observational Study of Transplacental Transmission of Influenza Antibodies following Vaccination with AS03A-Adjuvanted H1N1 2009 Vaccine. PLoS ONE. 8(1). e47448–e47448. 8 indexed citations
7.
Bugg, George, et al.. (2013). Reaching Our Sisters Everywhere. Breastfeeding Medicine. 8(5). 453–453. 4 indexed citations
8.
Walker, Kate F., George Bugg, Marion Macpherson, et al.. (2012). Induction of labour versus expectant management for nulliparous women over 35 years of age: a multi-centre prospective, randomised controlled trial. BMC Pregnancy and Childbirth. 12(1). 145–145. 22 indexed citations
9.
Jones, Nia, et al.. (2011). Placental 3-D Power Doppler Angiography - Regional Variation and Reliability of Two Ultrasonic Sphere Biopsy Techniques. Ultrasound in Medicine & Biology. 37(3). 364–375. 15 indexed citations
10.
Anblagan, Devasuda, Nia Jones, Carolyn Costigan, et al.. (2011). The Effect of Maternal Diabetes on Placental Blood Flow Assessed Using IVIM. Edinburgh Research Explorer. 2 indexed citations
11.
Mousa, H., P. Twining, Nia Jones, et al.. (2011). Would Gestational Age and Presence of Brain Anomalies Affect Interobserver Reliability of Fetal Head Biometry? Using Off-Line Analysis of 3-D Dataset. Ultrasound in Medicine & Biology. 38(1). 69–74. 2 indexed citations
12.
Jones, Nia, et al.. (2011). OC22.05: Comparison of placental blood flow in the third trimester of normal and diabetic pregnancy using a novel stereological 3D power Doppler technique. Ultrasound in Obstetrics and Gynecology. 38(S1). 41–42. 1 indexed citations
13.
Anblagan, Devasuda, Nia Jones, Carolyn Costigan, et al.. (2011). MRI for the assessment of placental blood flow in diabetic pregnancies. Archives of Disease in Childhood Fetal & Neonatal. 96(Suppl 1). Fa105.3–Fa106. 1 indexed citations
14.
15.
Bugg, George, Katja Höschler, Justin C. Konje, et al.. (2010). Observational study to investigate vertically acquired passive immunity in babies of mothers vaccinated against H1N1v during pregnancy. Health Technology Assessment. 14(55). 1–82. 38 indexed citations
16.
Jones, Nia, et al.. (2008). Assessing fetal health. Obstetrics Gynaecology & Reproductive Medicine. 18(6). 145–149. 7 indexed citations
17.
Wareing, Mark, et al.. (2005). Umbilical artery Doppler waveform indices from normal pregnant women are related to vasodilatation of placental chorionic plate small arteries. Journal of Obstetrics and Gynaecology. 25(3). 248–252. 4 indexed citations
18.
Bugg, George, et al.. (2003). Medical treatment of miscarriage in a district general hospital is safe and effective up to 12 weeks’ gestation. Current Medical Research and Opinion. 19(8). 699–701. 3 indexed citations
19.
O’Shea, J.Conor, et al.. (1996). Cardiovascular Effects of Cocaine in Neonates Exposed Prenatally. American Journal of Perinatology. 13(1). 1–4. 8 indexed citations
20.
Bugg, George, et al.. (1990). Training health care providers to manage lactation.. PubMed. 4(1). 24–7. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by MG Gravett Breakdown of academic impact, for papers by M. G. Gravett Breakdown of academic impact, for papers by Courtney Olson‐Chen Breakdown of academic impact, for papers by Kim Boers Breakdown of academic impact, for papers by Akanksha Sood Breakdown of academic impact, for papers by Maria Mascola Breakdown of academic impact, for papers by Courtney Gravett Breakdown of academic impact, for papers by Marc-Yvon Arsenault Breakdown of academic impact, for papers by R O Davis Breakdown of academic impact, for papers by Jeffrey M. Denney
Rankless by CCL
2026