T. Bourne

30.8k total citations · 7 hit papers
457 papers, 16.9k citations indexed

About

T. Bourne is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Obstetrics and Gynecology. According to data from OpenAlex, T. Bourne has authored 457 papers receiving a total of 16.9k indexed citations (citations by other indexed papers that have themselves been cited), including 190 papers in Reproductive Medicine, 178 papers in Public Health, Environmental and Occupational Health and 174 papers in Obstetrics and Gynecology. Recurrent topics in T. Bourne's work include Ectopic Pregnancy Diagnosis and Management (153 papers), Ovarian cancer diagnosis and treatment (142 papers) and Endometrial and Cervical Cancer Treatments (82 papers). T. Bourne is often cited by papers focused on Ectopic Pregnancy Diagnosis and Management (153 papers), Ovarian cancer diagnosis and treatment (142 papers) and Endometrial and Cervical Cancer Treatments (82 papers). T. Bourne collaborates with scholars based in United Kingdom, Belgium and Sweden. T. Bourne's co-authors include D. Timmerman, Ben Van Calster, William P. Collins, L. Valentin, E. Kirk, Sabine Van Huffel, G. Condous, Cecilia Bottomley, A. C. Testa and Ignace Vergote and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Journal of Clinical Oncology.

In The Last Decade

T. Bourne

428 papers receiving 16.3k citations

Hit Papers

Terms, definitions and me... 2000 2026 2008 2017 2000 2015 2018 2014 2019 200 400 600
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.

  1. Terms, definitions and measurements to describe the sonographic features of adnexal tumors: a consensus opinion from the International Ovarian Tumor Analysis (IOTA) group
    2000 674 citations D. Timmerman, L. Valentin et al. Ultrasound in Obstetrics and Gynecology profile →
  2. Terms, definitions and measurements to describe sonographic features of myometrium and uterine masses: a consensus opinion from the Morphological Uterus Sonographic Assessment (MUSA) group
    2015 473 citations Margit Dueholm, L. Valentin et al. Ultrasound in Obstetrics and Gynecology profile →
  3. Conventional and modern markers of endometrial receptivity: a systematic review and meta-analysis
    2018 349 citations Laurentiu Craciunas, Ioannis Gallos et al. Human Reproduction Update profile →
  4. Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study
    2014 314 citations Ben Van Calster, L. Valentin et al. profile →
  5. O-RADS US Risk Stratification and Management System: A Consensus Guideline from the ACR Ovarian-Adnexal Reporting and Data System Committee
    2019 255 citations D. Timmerman, Wouter Froyman et al. profile →
  6. Pregnancy and neonatal outcomes of COVID‐19: coreporting of common outcomes from PAN‐COVID and AAP‐SONPM registries
    2021 186 citations T. Bourne et al. Ultrasound in Obstetrics and Gynecology profile →
  7. Consensus on revised definitions of Morphological Uterus Sonographic Assessment (MUSA) features of adenomyosis: results of modified Delphi procedure
    2021 149 citations T. Van den Bosch, Robert A. de Leeuw et al. Ultrasound in Obstetrics and Gynecology profile →

Author Peers

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

Author Last Decade Papers Cites
T. Bourne 8.6k 7.9k 5.6k 3.7k 2.6k 457 16.9k
D. Timmerman 11.2k 1.3× 10.7k 1.4× 4.2k 0.7× 3.0k 0.8× 3.9k 1.5× 524 20.7k
Jason D. Wright 5.6k 0.7× 9.5k 1.2× 2.1k 0.4× 2.7k 0.7× 4.3k 1.6× 790 19.1k
Evan R. Myers 3.9k 0.5× 3.9k 0.5× 2.3k 0.4× 1.3k 0.4× 3.8k 1.4× 297 16.0k
Michael W. Varner 836 0.1× 12.1k 1.5× 6.6k 1.2× 10.5k 2.9× 3.1k 1.2× 572 21.5k
Mary E. D’Alton 507 0.1× 8.1k 1.0× 3.6k 0.6× 10.8k 2.9× 2.6k 1.0× 454 16.3k
Mark F. Munsell 1.6k 0.2× 2.1k 0.3× 1.0k 0.2× 548 0.1× 2.8k 1.1× 243 11.8k
Saskia Middeldorp 648 0.1× 2.0k 0.3× 1.8k 0.3× 1.4k 0.4× 2.9k 1.1× 369 16.5k
Peter M. Doubilet 1.2k 0.1× 1.6k 0.2× 1.4k 0.2× 1.9k 0.5× 2.7k 1.0× 150 7.8k
Michael S. Broder 2.0k 0.2× 2.0k 0.3× 811 0.1× 542 0.1× 1.0k 0.4× 248 8.7k
Žarko Alfirević 472 0.1× 7.2k 0.9× 4.4k 0.8× 9.2k 2.5× 1.6k 0.6× 314 14.8k

Countries citing papers authored by T. Bourne

Since Specialization
Citations

This map shows the geographic impact of T. Bourne'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 T. Bourne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Bourne more than expected).

Fields of papers citing papers by T. Bourne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Bourne

This figure shows the co-authorship network connecting the top 25 collaborators of T. Bourne. A scholar is included among the top collaborators of T. Bourne 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 T. Bourne. T. Bourne 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.
Ledger, Alison, S. Bobdiwala, E. Kirk, et al.. (2024). OC15.02: Development, validation and comparison of models predicting outcomes in pregnancies of unknown location using regression and machine learning models. Ultrasound in Obstetrics and Gynecology. 64(S1). 39–39.
2.
3.
Min, Nan, Robert A. de Leeuw, Lucet F. van der Voet, et al.. (2024). Structured hysteroscopic examination of uterine niches: a modified Delphi procedure. Facts Views and Vision in ObGyn. 16(3). 253–262. 1 indexed citations
4.
Al‐Memar, M., et al.. (2024). The ‘onion skin’ sign of a low‐grade appendiceal mucinous neoplasm: An incidental finding during early pregnancy assessment. Australasian Journal of Ultrasound in Medicine. 27(2). 131–135.
5.
Bobdiwala, S., S. Sur, C. Stalder, et al.. (2023). Ambulatory human chorionic gonadotrophin (hCG) testing: a verification of two hCG point of care devices. Clinical Chemistry and Laboratory Medicine (CCLM). 62(4). 664–673. 1 indexed citations
6.
Al‐Memar, M., Thibaut Vaulet, Kim Lawson, et al.. (2023). Using simple clinical and ultrasound variables to develop a model to predict first trimester pregnancy viability. European Journal of Obstetrics & Gynecology and Reproductive Biology. 292. 187–193.
7.
Guerriero, S., G. Condous, Martino Rolla, et al.. (2023). Addendum to consensus opinion from International Deep Endometriosis Analysis (IDEA) group: sonographic evaluation of the parametrium. Ultrasound in Obstetrics and Gynecology. 64(2). 275–280. 10 indexed citations
8.
Heremans, Ruben, Laure Wynants, L. Valentin, et al.. (2023). Estimating risk of endometrial malignancy and other intracavitary uterine pathology in women without abnormal uterine bleeding using IETA‐1 multinomial regression model: validation study. Ultrasound in Obstetrics and Gynecology. 63(4). 556–563. 1 indexed citations
9.
Jordans, I. P. M., T. Van den Bosch, D. Timmerman, et al.. (2022). How to perform standardized sonographic examination of uterine niche in non‐pregnant women. Ultrasound in Obstetrics and Gynecology. 60(3). 420–424. 19 indexed citations
10.
Wynants, Laure, Jan Y. Verbakel, L. Valentin, et al.. (2022). The Risk of Endometrial Malignancy and Other Endometrial Pathology in Women with Abnormal Uterine Bleeding: An Ultrasound-Based Model Development Study by the IETA Group. Gynecologic and Obstetric Investigation. 87(1). 54–61. 7 indexed citations
11.
Vaulet, Thibaut, M. Al‐Memar, S. Bobdiwala, et al.. (2021). Gradient boosted trees with individual explanations: An alternative to logistic regression for viability prediction in the first trimester of pregnancy. Computer Methods and Programs in Biomedicine. 213. 106520–106520. 13 indexed citations
12.
13.
Landolfo, C., Erik Achten, Jolien Ceusters, et al.. (2020). Assessment of protein biomarkers for preoperative differential diagnosis between benign and malignant ovarian tumors. Gynecologic Oncology. 159(3). 811–819. 9 indexed citations
14.
Farren, J., Maria Jalmbrant, N. Mitchell‐Jones, et al.. (2020). Differences in post‐traumatic stress, anxiety and depression following miscarriage or ectopic pregnancy between women and their partners: multicenter prospective cohort study. Ultrasound in Obstetrics and Gynecology. 57(1). 141–148. 35 indexed citations
15.
Christodoulou, Evangelia, S. Bobdiwala, J. Farren, et al.. (2020). External validation of models to predict the outcome of pregnancies of unknown location: a multicentre cohort study. BJOG An International Journal of Obstetrics & Gynaecology. 128(3). 552–562. 13 indexed citations
16.
Craciunas, Laurentiu, Ioannis Gallos, Justin Chu, et al.. (2018). Conventional and modern markers of endometrial receptivity: a systematic review and meta-analysis. Human Reproduction Update. 25(2). 202–223. 349 indexed citations breakdown →
17.
Wynants, Laure, D. Timmerman, Jan Y. Verbakel, et al.. (2017). Clinical Utility of Risk Models to Refer Patients with Adnexal Masses to Specialized Oncology Care: Multicenter External Validation Using Decision Curve Analysis. Clinical Cancer Research. 23(17). 5082–5090. 37 indexed citations
18.
Bobdiwala, S., J. Farren, N. Mitchell‐Jones, et al.. (2016). P19.03: A multicentre trial on the performance and complications of a two‐step triage protocol based on initial serum progesterone and serial serum hCG to manage pregnancy of unknown location (PUL). Ultrasound in Obstetrics and Gynecology. 48(S1). 227–227. 1 indexed citations
19.
Calster, Ben Van, L. Valentin, Caroline Van Holsbeke, et al.. (2011). A Novel Approach to Predict the Likelihood of Specific Ovarian Tumor Pathology Based on Serum CA-125: A Multicenter Observational Study. Cancer Epidemiology Biomarkers & Prevention. 20(11). 2420–2428. 30 indexed citations
20.
Holsbeke, Caroline Van, Ben Van Calster, T. Bourne, et al.. (2011). External Validation of Diagnostic Models to Estimate the Risk of Malignancy in Adnexal Masses. Clinical Cancer Research. 18(3). 815–825. 57 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 D. Timmerman Breakdown of academic impact, for papers by Jason D. Wright Breakdown of academic impact, for papers by Evan R. Myers Breakdown of academic impact, for papers by Michael W. Varner Breakdown of academic impact, for papers by Mary E. D’Alton Breakdown of academic impact, for papers by Mark F. Munsell Breakdown of academic impact, for papers by Saskia Middeldorp Breakdown of academic impact, for papers by Peter M. Doubilet Breakdown of academic impact, for papers by Michael S. Broder Breakdown of academic impact, for papers by Žarko Alfirević
Rankless by CCL
2026