J. Kaijser

3.1k total citations · 1 hit paper
34 papers, 1.7k citations indexed

About

J. Kaijser is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Surgery. According to data from OpenAlex, J. Kaijser has authored 34 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Reproductive Medicine, 26 papers in Obstetrics and Gynecology and 11 papers in Surgery. Recurrent topics in J. Kaijser's work include Ovarian cancer diagnosis and treatment (26 papers), Endometrial and Cervical Cancer Treatments (22 papers) and Endometriosis Research and Treatment (17 papers). J. Kaijser is often cited by papers focused on Ovarian cancer diagnosis and treatment (26 papers), Endometrial and Cervical Cancer Treatments (22 papers) and Endometriosis Research and Treatment (17 papers). J. Kaijser collaborates with scholars based in Belgium, United Kingdom and Netherlands. J. Kaijser's co-authors include D. Timmerman, T. Bourne, Ben Van Calster, Ahmad Sayasneh, Kirsten Van Hoorde, L. Valentin, A. C. Testa, D. Franchi, Ignace Vergote and E. Epstein and has published in prestigious journals such as BMJ, American Journal of Obstetrics and Gynecology and British Journal of Cancer.

In The Last Decade

J. Kaijser

33 papers receiving 1.7k citations

Hit Papers

align trajectories

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.

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 →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Kaijser Belgium	20	1.5k	1.1k	671	168	70	34	1.7k
Wouter Froyman Belgium	14	877 0.6×	659 0.6×	384 0.6×	133 0.8×	44 0.6×	51	1.0k
Ahmad Sayasneh United Kingdom	20	785 0.5×	641 0.6×	333 0.5×	96 0.6×	44 0.6×	59	1.1k
Caroline Van Holsbeke Belgium	15	668 0.4×	539 0.5×	302 0.5×	58 0.3×	28 0.4×	27	888
Anil Tailor United Kingdom	22	692 0.5×	640 0.6×	257 0.4×	64 0.4×	71 1.0×	63	1.3k
D Oram United Kingdom	8	960 0.6×	544 0.5×	291 0.4×	42 0.3×	144 2.1×	10	1.1k
V. Van Belle Belgium	11	366 0.2×	283 0.3×	159 0.2×	61 0.4×	61 0.9×	16	628
J. H. Shepherd United Kingdom	18	572 0.4×	617 0.6×	208 0.3×	201 1.2×	45 0.6×	43	1.2k
Yuki Himoto Japan	14	212 0.1×	244 0.2×	109 0.2×	456 2.7×	33 0.5×	49	721
Tsuyoshi Takiuchi Japan	17	247 0.2×	455 0.4×	74 0.1×	69 0.4×	85 1.2×	60	907
Andrea Milbourne United States	18	232 0.2×	262 0.2×	83 0.1×	94 0.6×	54 0.8×	38	911

Countries citing papers authored by J. Kaijser

Since Specialization

Citations

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

Fields of papers citing papers by J. Kaijser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Kaijser

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

All Works

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20 of 20 papers shown

Froyman, Wouter, J. Kaijser, Dominique Van Schoubroeck, et al.. (2021). Safety and efficiency of performing transvaginal ultrasound-guided tru-cut biopsy for pelvic masses. Gynecologic Oncology. 161(3). 845–851. 10 indexed citations

Froyman, Wouter, T. Van den Bosch, Anne‐Sophie Van Rompuy, et al.. (2019). Juvenile cystic adenomyosis: A case report and review of the literature. Australasian Journal of Ultrasound in Medicine. 22(4). 295–300. 11 indexed citations

Zareian, Mytra, Boudewijn R. Toorenvliet, & J. Kaijser. (2019). [Acute colonic pseudo-obstruction after caesarean section; Ogilvie's syndrome].. PubMed. 163. 1 indexed citations

Virgilio, B., P. Sladkevicius, F. Moro, et al.. (2019). Imaging in gynecological disease (16): clinical and ultrasound characteristics of serous cystadenofibromas in adnexa. Ultrasound in Obstetrics and Gynecology. 54(6). 823–830. 26 indexed citations

Meys, Evelyne M. J., J. Kaijser, Roy F.P.M. Kruitwagen, et al.. (2016). Subjective assessment versus ultrasound models to diagnose ovarian cancer: A systematic review and meta-analysis. European Journal of Cancer. 58. 17–29. 174 indexed citations

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

Sayasneh, Ahmad, B. De Cock, Srdjan Saso, et al.. (2016). Evaluating the risk of ovarian cancer before surgery using the ADNEX model: a multicentre external validation study. British Journal of Cancer. 115(5). 542–548. 62 indexed citations

Votino, A., T. Van den Bosch, Arnaud Installé, et al.. (2015). Optimizing the ultrasound visualization of the endometrial-myometrial junction (EMJ).. PubMed. 7(1). 60–3. 15 indexed citations

Testa, A. C., J. Kaijser, Laure Wynants, et al.. (2014). Strategies to diagnose ovarian cancer: new evidence from phase 3 of the multicentre international IOTA study. British Journal of Cancer. 111(4). 680–688. 92 indexed citations

10.

Kaijser, J., Vanya Van Belle, Toon Van Gorp, et al.. (2014). Prognostic Value of Serum HE4 Levels and Risk of Ovarian Malignancy Algorithm Scores at the Time of Ovarian Cancer Diagnosis. International Journal of Gynecological Cancer. 24(7). 1173–1180. 25 indexed citations

11.

Sayasneh, Ahmad, J. Kaijser, C. Stalder, et al.. (2014). The characteristic ultrasound features of specific types of ovarian pathology (Review). International Journal of Oncology. 46(2). 445–458. 55 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.

Kaijser, J., Vincent Vandecaveye, Christophe M. Deroose, et al.. (2014). Imaging techniques for the pre-surgical diagnosis of adnexal tumours. Best Practice & Research Clinical Obstetrics & Gynaecology. 28(5). 683–695. 42 indexed citations

14.

Kaijser, J., Ahmad Sayasneh, Kirsten Van Hoorde, et al.. (2013). Presurgical diagnosis of adnexal tumours using mathematical models and scoring systems: a systematic review and meta-analysis. Human Reproduction Update. 20(3). 449–462. 142 indexed citations

15.

Kaijser, J., Toon Van Gorp, Kirsten Van Hoorde, et al.. (2013). A comparison between an ultrasound based prediction model (LR2) and the Risk of Ovarian Malignancy Algorithm (ROMA) to assess the risk of malignancy in women with an adnexal mass. Gynecologic Oncology. 129(2). 377–383. 43 indexed citations

16.

Sayasneh, Ahmad, Laure Wynants, Jessica Preisler, et al.. (2013). Multicentre external validation of IOTA prediction models and RMI by operators with varied training. British Journal of Cancer. 108(12). 2448–2454. 76 indexed citations

17.

Sayasneh, Ahmad, J. Kaijser, Jessica Preisler, et al.. (2013). A multicenter prospective external validation of the diagnostic performance of IOTA simple descriptors and rules to characterize ovarian masses. Gynecologic Oncology. 130(1). 140–146. 56 indexed citations

18.

Votino, A., Arnaud Installé, T. Van den Bosch, et al.. (2012). Optimal ultrasound visualization of the endometrial-myometrial junction (EMJ). Ultrasound in Obstetrics and Gynecology. 40. 166–167. 1 indexed citations

19.

Timmerman, D., et al.. (2012). Characterizing Ovarian Pathology. International Journal of Gynecological Cancer. 22. S9–S11. 2 indexed citations

20.

Kaijser, J., T. Bourne, L. Valentin, et al.. (2012). Improving strategies for diagnosing ovarian cancer: a summary of the International Ovarian Tumor Analysis (IOTA) studies. Ultrasound in Obstetrics and Gynecology. 41(1). 9–20. 117 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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