G. Condous

485 total citations
10 papers, 258 citations indexed

About

G. Condous is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Rheumatology. According to data from OpenAlex, G. Condous has authored 10 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 3 papers in Pediatrics, Perinatology and Child Health and 3 papers in Rheumatology. Recurrent topics in G. Condous's work include Ectopic Pregnancy Diagnosis and Management (4 papers), Maternal and fetal healthcare (3 papers) and Pelvic floor disorders treatments (3 papers). G. Condous is often cited by papers focused on Ectopic Pregnancy Diagnosis and Management (4 papers), Maternal and fetal healthcare (3 papers) and Pelvic floor disorders treatments (3 papers). G. Condous collaborates with scholars based in Australia, United Kingdom and Belgium. G. Condous's co-authors include T. Bourne, E. Kirk, Aris T. Papageorghiou, Shabana Bora, Ben Van Calster, Sabine Van Huffel, D. Timmerman, J. Ludlow, I. Casikar and S. Reid and has published in prestigious journals such as Human Reproduction, BJOG An International Journal of Obstetrics & Gynaecology and Ultrasound in Obstetrics and Gynecology.

In The Last Decade

G. Condous

9 papers receiving 251 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Condous Australia 6 174 92 76 65 35 10 258
Antonia Habana United States 7 176 1.0× 87 0.9× 124 1.6× 47 0.7× 20 0.6× 8 269
Yan Ouyang China 10 206 1.2× 190 2.1× 49 0.6× 75 1.2× 7 0.2× 30 308
Gregory H. Corsan United States 8 214 1.2× 124 1.3× 184 2.4× 50 0.8× 28 0.8× 16 315
I. Casikar Australia 10 158 0.9× 98 1.1× 236 3.1× 240 3.7× 23 0.7× 36 404
T. Tsymbal United States 5 310 1.8× 287 3.1× 40 0.5× 74 1.1× 20 0.6× 6 390
Kingshuk Majumder United Kingdom 6 108 0.6× 42 0.5× 164 2.2× 84 1.3× 2 0.1× 10 236
Michael Bohrer United States 13 386 2.2× 225 2.4× 362 4.8× 106 1.6× 39 1.1× 19 568
Nienke van Welie Netherlands 6 60 0.3× 34 0.4× 107 1.4× 122 1.9× 3 0.1× 15 170
Anda‐Petronela Radan Switzerland 8 60 0.3× 58 0.6× 50 0.7× 110 1.7× 15 190
Bolarinde Ola United Kingdom 10 117 0.7× 112 1.2× 136 1.8× 227 3.5× 2 0.1× 20 430

Countries citing papers authored by G. Condous

Since Specialization
Citations

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

Fields of papers citing papers by G. Condous

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Condous

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

All Works

10 of 10 papers shown
1.
Wang, H., Jodie Avery, G. Condous, et al.. (2025). Development of a Novel Machine Learning Model for Automatic Assessment of Quality of Transvaginal Ultrasound Images From Multi‐Annotator Labels. Australasian Journal of Ultrasound in Medicine. 28(4). e70026–e70026.
2.
Avery, Jodie, Hou‐Tong Chen, Mathew Leonardi, et al.. (2025). Intra‐ and interobserver agreement of proposed objective transvaginal ultrasound image‐quality scoring system for use in artificial intelligence algorithm development. Ultrasound in Obstetrics and Gynecology. 65(3). 364–371. 1 indexed citations
3.
Lü, Chuan, et al.. (2024). Temporal and external validation of the algorithm predicting first trimester outcome of a viable pregnancy. Australian and New Zealand Journal of Obstetrics and Gynaecology. 65(1). 128–134. 1 indexed citations
4.
Hicks, C., Mathew Leonardi, Xin‐Yi Chua, et al.. (2024). Oral, Vaginal, and Stool Microbial Signatures in Patients With Endometriosis as Potential Diagnostic Non‐Invasive Biomarkers: A Prospective Cohort Study. BJOG An International Journal of Obstetrics & Gynaecology. 132(3). 326–336. 12 indexed citations
5.
Chou, Danny, et al.. (2019). Shaving for Bowel Endometriosis. Journal of Minimally Invasive Gynecology. 27(2). 268–269. 4 indexed citations
6.
7.
Kirk, E., Aris T. Papageorghiou, Ben Van Calster, et al.. (2009). The use of serum inhibin A and activin A levels in predicting the outcome of 'pregnancies of unknown location'. Human Reproduction. 24(10). 2451–2456. 32 indexed citations
8.
Bignardi, T., G. Condous, E. Kirk, et al.. (2008). The hCG ratio can predict the ultimate viability of the intrauterine pregnancies of uncertain viability in the pregnancy of unknown location population. Human Reproduction. 23(9). 1964–1967. 21 indexed citations
9.
Calster, Ben Van, Vanya Van Belle, G. Condous, et al.. (2008). Multi-class AUC metrics and weighted alternatives. 1390–1396. 18 indexed citations
10.
Kirk, E., et al.. (2007). The diagnostic effectiveness of an initial transvaginal scan in detecting ectopic pregnancy. Human Reproduction. 22(11). 2824–2828. 120 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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2026