L. Valentin

20.4k total citations · 4 hit papers
319 papers, 12.4k citations indexed

About

L. Valentin is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Surgery. According to data from OpenAlex, L. Valentin has authored 319 papers receiving a total of 12.4k indexed citations (citations by other indexed papers that have themselves been cited), including 170 papers in Reproductive Medicine, 161 papers in Obstetrics and Gynecology and 72 papers in Surgery. Recurrent topics in L. Valentin's work include Ovarian cancer diagnosis and treatment (132 papers), Endometrial and Cervical Cancer Treatments (99 papers) and Endometriosis Research and Treatment (81 papers). L. Valentin is often cited by papers focused on Ovarian cancer diagnosis and treatment (132 papers), Endometrial and Cervical Cancer Treatments (99 papers) and Endometriosis Research and Treatment (81 papers). L. Valentin collaborates with scholars based in Sweden, Belgium and Italy. L. Valentin's co-authors include D. Timmerman, T. Bourne, P. Sladkevicius, A. C. Testa, E. Epstein, O. Vikhareva Osser, Karel Maršál, C. Van Holsbeke, L. Jokubkiene and Ben Van Calster and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

L. Valentin

306 papers receiving 11.9k citations

Hit Papers

Terms, definitions and measurements to describe the sonog... 2000 2026 2008 2017 2000 2015 2014 2021 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 F. Leone, L. Valentin et al. Ultrasound in Obstetrics and Gynecology profile →
  3. 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, Kirsten Van Hoorde et al. BMJ profile →
  4. 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, L. Valentin et al. Ultrasound in Obstetrics and Gynecology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. Valentin Sweden 56 7.7k 7.4k 2.9k 1.9k 1.7k 319 12.4k
Chyong‐Huey Lai Taiwan 56 2.9k 0.4× 4.5k 0.6× 2.3k 0.8× 453 0.2× 139 0.1× 381 10.4k
R. Huch Switzerland 49 804 0.1× 1.7k 0.2× 1.6k 0.6× 391 0.2× 1.3k 0.8× 361 7.9k
William Small United States 53 1.7k 0.2× 3.6k 0.5× 3.9k 1.4× 378 0.2× 154 0.1× 412 12.1k
Julien Taı̈eb France 67 2.1k 0.3× 285 0.0× 2.8k 1.0× 1.9k 1.0× 652 0.4× 663 19.8k
Shinya Matsuzaki Japan 33 960 0.1× 1.7k 0.2× 468 0.2× 655 0.3× 834 0.5× 316 4.5k
Hedvig Hricak United States 105 5.2k 0.7× 5.4k 0.7× 7.8k 2.7× 839 0.4× 1.6k 1.0× 629 39.8k
Fergus V. Coakley United States 53 1.1k 0.1× 1.1k 0.1× 3.7k 1.3× 333 0.2× 900 0.5× 300 10.7k
Kazuro Sugimura Japan 58 1.8k 0.2× 1.9k 0.3× 2.2k 0.8× 192 0.1× 273 0.2× 480 12.8k
Richard C. Semelka United States 64 770 0.1× 865 0.1× 4.1k 1.4× 238 0.1× 597 0.4× 413 14.8k
A. C. Testa Italy 47 5.7k 0.7× 4.7k 0.6× 2.3k 0.8× 452 0.2× 209 0.1× 279 7.9k

Countries citing papers authored by L. Valentin

Since Specialization
Citations

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

Fields of papers citing papers by L. Valentin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Valentin

This figure shows the co-authorship network connecting the top 25 collaborators of L. Valentin. A scholar is included among the top collaborators of L. Valentin 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 L. Valentin. L. Valentin 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.
Landolfo, C., Wouter Froyman, A. C. Testa, et al.. (2025). Imaging in gynecological disease (29): clinical and ultrasound features of primary ovarian immature teratoma. Ultrasound in Obstetrics and Gynecology. 67(1). 89–99.
2.
Moro, F., F. Mascilini, Francesca Ciccarone, et al.. (2024). Radiomics analysis of ultrasound images to discriminate between benign and malignant adnexal masses with solid morphology on ultrasound. Ultrasound in Obstetrics and Gynecology. 65(3). 353–363. 8 indexed citations
3.
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
4.
Moro, F., Maria Cristina Moruzzi, F. Mascilini, et al.. (2023). Imaging in gynecological disease (27): clinical and ultrasound characteristics of recurrent ovarian stromal cell tumors. Ultrasound in Obstetrics and Gynecology. 63(3). 399–407.
5.
Chiappa, Valentina, D. Franchi, A. C. Testa, et al.. (2022). 2022-RA-891-ESGO Preoperative assessment of non-resectability in patients with ovarian cancer using imaging (ISAAC study) – an interim analysis. International Journal of Gynecological Cancer. 32. A274–A274. 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.
Hudelist, Gernot, L. Valentin, Ertan Sarıdoğan, et al.. (2021). What to choose and why to use – a critical review on the clinical relevance of rASRM, EFI and Enzian classifications of endometriosis. Facts Views and Vision in ObGyn. 13(4). 331–338. 25 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.
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
10.
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.
11.
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
12.
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 →
13.
Valentin, L., et al.. (2014). Abschätzung des Transfers von ESBL-bildenden Escherichia coli zum Menschen für Deutschland. Berliner und Münchener tierärztliche Wochenschrift. 127. 2 indexed citations
14.
Sladkevicius, P. & L. Valentin. (2014). Interobserver Agreement in Describing the Ultrasound Appearance of Adnexal Masses and in Calculating the Risk of Malignancy Using Logistic Regression Models. Clinical Cancer Research. 21(3). 594–601. 10 indexed citations
15.
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
16.
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
17.
Holsbeke, Caroline Van, Anneleen Daemen, J. Yazbek, et al.. (2009). Ultrasound Experience Substantially Impacts on Diagnostic Performance and Confidence when Adnexal Masses Are Classified Using Pattern Recognition. Gynecologic and Obstetric Investigation. 69(3). 160–168. 46 indexed citations
18.
Calster, Ben Van, D. Timmerman, A. C. Testa, L. Valentin, & Sabine Van Huffel. (2008). Multi-class classification of ovarian tumors. The European Symposium on Artificial Neural Networks. 65–70. 1 indexed citations
19.
Ameye, Lieveke, L. Valentin, A. C. Testa, et al.. (2008). A scoring system to differentiate malignant from benign masses in specific ultrasound‐based subgroups of adnexal tumors. Ultrasound in Obstetrics and Gynecology. 33(1). 92–101. 25 indexed citations
20.
Albouy, Geneviève, M. Gusakow, N. Poffé, H. Sergolle, & L. Valentin. (1962). (p,n) REACTIONS AT MEDIUM ENERGY. 3 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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