E. Epstein

7.8k total citations · 4 hit papers
101 papers, 4.5k citations indexed

About

E. Epstein is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Surgery. According to data from OpenAlex, E. Epstein has authored 101 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Obstetrics and Gynecology, 67 papers in Reproductive Medicine and 15 papers in Surgery. Recurrent topics in E. Epstein's work include Endometrial and Cervical Cancer Treatments (59 papers), Ovarian cancer diagnosis and treatment (49 papers) and Endometriosis Research and Treatment (34 papers). E. Epstein is often cited by papers focused on Endometrial and Cervical Cancer Treatments (59 papers), Ovarian cancer diagnosis and treatment (49 papers) and Endometriosis Research and Treatment (34 papers). E. Epstein collaborates with scholars based in Sweden, Italy and Belgium. E. Epstein's co-authors include L. Valentin, D. Timmerman, Pelle G. Lindqvist, A. C. Testa, T. Bourne, L. Skoog, Håkan Olsson, S. Guerriero, D. Fischerová and A González Ramírez and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and BMJ.

In The Last Decade

E. Epstein

92 papers receiving 4.4k citations

Hit Papers

Terms, definitions and measurements to describe sonograph... 2014 2026 2018 2022 2015 2014 2019 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Epstein Sweden 36 3.2k 3.0k 687 353 300 101 4.5k
Fabrice Lécuru France 38 3.2k 1.0× 2.8k 0.9× 1.9k 2.7× 397 1.1× 287 1.0× 300 5.4k
Edward J. Tanner United States 31 1.6k 0.5× 1.2k 0.4× 774 1.1× 122 0.3× 100 0.3× 111 3.1k
S. Uzan France 22 1.5k 0.5× 681 0.2× 331 0.5× 265 0.8× 321 1.1× 146 2.4k
Jose Alejandro Rauh‐Hain United States 24 1.4k 0.4× 1.0k 0.3× 685 1.0× 489 1.4× 190 0.6× 120 3.8k
Juan Luis Alcázar Spain 36 3.5k 1.1× 3.6k 1.2× 802 1.2× 40 0.1× 515 1.7× 288 4.7k
Yukio Sonoda United States 36 1.9k 0.6× 3.6k 1.2× 2.9k 4.2× 108 0.3× 164 0.5× 106 4.2k
Barbara Costantini Italy 33 1.1k 0.4× 1.8k 0.6× 1.7k 2.5× 145 0.4× 100 0.3× 111 2.9k
Mary C. Frates United States 37 795 0.3× 1.0k 0.3× 3.2k 4.7× 165 0.5× 649 2.2× 100 6.8k
Ambrogio P. Londero Italy 22 710 0.2× 242 0.1× 268 0.4× 144 0.4× 296 1.0× 149 1.8k
Guillaume Ducarme France 21 830 0.3× 335 0.1× 767 1.1× 79 0.2× 376 1.3× 144 2.0k

Countries citing papers authored by E. Epstein

Since Specialization
Citations

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

Fields of papers citing papers by E. Epstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Epstein

This figure shows the co-authorship network connecting the top 25 collaborators of E. Epstein. A scholar is included among the top collaborators of E. Epstein 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 E. Epstein. E. Epstein 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.
Fischerová, D., François Planchamp, Juan Luis Alcázar, et al.. (2025). ISUOG/ESGO Consensus Statement on ultrasound‐guided biopsy in gynecological oncology. Ultrasound in Obstetrics and Gynecology. 65(4). 517–535. 1 indexed citations
2.
Fischerová, D., François Planchamp, Juan Luis Alcázar, et al.. (2025). ISUOG/ESGO Consensus Statement on ultrasound-guided biopsy in gynecological oncology. International Journal of Gynecological Cancer. 35(4). 101732–101732. 2 indexed citations
3.
Imboden, Sara, Tilman T. Rau, E. Epstein, et al.. (2024). p53 Abnormal (Copy Number High) Endometrioid Endometrial Carcinoma Has a Prognosis Indistinguishable From Serous Carcinoma. International Journal of Gynecological Pathology. 43(5). 515–526. 1 indexed citations
4.
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
6.
Heremans, Ruben, T. Van den Bosch, L. Valentin, et al.. (2022). Ultrasound features of endometrial pathology in women without abnormal uterine bleeding: results from the International Endometrial Tumor Analysis study (IETA3). Ultrasound in Obstetrics and Gynecology. 60(2). 243–255. 16 indexed citations
7.
Imboden, Sara, Mehran Ghaderi, Franziska Siegenthaler, et al.. (2021). Implementation of the 2021 molecular ESGO/ESTRO/ESP risk groups in endometrial cancer. Gynecologic Oncology. 162(2). 394–400. 40 indexed citations
8.
Moro, F., S. Boopathy Vijayaraghavan, Francesca Nardelli, et al.. (2020). Imaging in gynecological disease (20): clinical and ultrasound characteristics of adnexal torsion. Ultrasound in Obstetrics and Gynecology. 56(6). 934–943. 49 indexed citations
9.
Christiansen, Frank, et al.. (2020). Ultrasound image analysis using deep neural networks for discriminating between benign and malignant ovarian tumors: comparison with expert subjective assessment. Ultrasound in Obstetrics and Gynecology. 57(1). 155–163. 92 indexed citations
10.
Andersson, Johanna, Raffaella Pozzi Mucelli, E. Epstein, Elizabeth A. Stewart, & Kristina Gemzell‐Danielsson. (2020). Vaginal bromocriptine for treatment of adenomyosis: Impact on magnetic resonance imaging and transvaginal ultrasound. European Journal of Obstetrics & Gynecology and Reproductive Biology. 254. 38–43. 12 indexed citations
11.
Testa, A. C., Valentina Chiappa, Wouter Froyman, et al.. (2020). Imaging in gynecological disease (17): ultrasound features of malignant ovarian yolk sac tumors (endodermal sinus tumors). Ultrasound in Obstetrics and Gynecology. 56(2). 276–284. 16 indexed citations
12.
Imboden, Sara, Mehran Ghaderi, Tilman T. Rau, et al.. (2019). Phenotype of POLE-mutated endometrial cancer. PLoS ONE. 14(3). e0214318–e0214318. 57 indexed citations
13.
León‐Castillo, Alicia, Heidi Britton, Melissa K. McConechy, et al.. (2019). Interpretation of somatic POLE mutations in endometrial carcinoma. The Journal of Pathology. 250(3). 323–335. 244 indexed citations breakdown →
14.
León‐Castillo, Alicia, Remi A. Nout, Vincent T.H.B.M. Smit, et al.. (2019). Clinicopathological and molecular characterisation of ‘multiple‐classifier’ endometrial carcinomas. The Journal of Pathology. 250(3). 312–322. 255 indexed citations breakdown →
15.
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
16.
Froyman, Wouter, C. Landolfo, T. Bourne, et al.. (2016). Performance of the RMI and IOTA ADNEX and Simple Rules risk model in the evaluation of adnexal masses not classifiable using the Easy Descriptors as first step. BOA (University of Milano-Bicocca). 123(123). 83–84.
17.
Timmerman, D., Ben Van Calster, A. C. Testa, et al.. (2016). Predicting the risk of malignancy in adnexal masses based on the Simple Rules from the International Ovarian Tumor Analysis group. American Journal of Obstetrics and Gynecology. 214(4). 424–437. 192 indexed citations
18.
Calster, Ben Van, Kirsten Van Hoorde, L. Valentin, et al.. (2014). 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. BMJ. 349(oct07 3). g5920–g5920. 314 indexed citations breakdown →
19.
Lindqvist, Pelle G., E. Epstein, Mona Landin‐Olsson, et al.. (2014). Avoidance of sun exposure is a risk factor for all‐cause mortality: results from the Melanoma in Southern Sweden cohort. Journal of Internal Medicine. 276(1). 77–86. 78 indexed citations
20.
Timmermans, Anne, Brent C. Opmeer, Khalid S. Khan, et al.. (2010). Endometrial Thickness Measurement for Detecting Endometrial Cancer in Women With Postmenopausal Bleeding. Obstetrics and Gynecology. 116(1). 160–167. 167 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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