R.H.M. Verheijen

1.1k total citations
19 papers, 820 citations indexed

About

R.H.M. Verheijen is a scholar working on Surgery, Reproductive Medicine and Oncology. According to data from OpenAlex, R.H.M. Verheijen has authored 19 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 5 papers in Reproductive Medicine and 3 papers in Oncology. Recurrent topics in R.H.M. Verheijen's work include Ovarian cancer diagnosis and treatment (5 papers), Surgical Simulation and Training (4 papers) and Endometrial and Cervical Cancer Treatments (3 papers). R.H.M. Verheijen is often cited by papers focused on Ovarian cancer diagnosis and treatment (5 papers), Surgical Simulation and Training (4 papers) and Endometrial and Cervical Cancer Treatments (3 papers). R.H.M. Verheijen collaborates with scholars based in Netherlands, United States and United Kingdom. R.H.M. Verheijen's co-authors include Marlies P. Schijven, Ronald P. Zweemer, M J E Mourits, D.A. Piers, Joanne A. de Hullu, Ate G.J. van der Zee, H. Hollema, J.G. Aalders, Corine M. Visscher and Peter J. Beek and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and BJOG An International Journal of Obstetrics & Gynaecology.

In The Last Decade

R.H.M. Verheijen

19 papers receiving 787 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R.H.M. Verheijen Netherlands 12 434 277 189 162 153 19 820
Luigi Pedone Anchora Italy 21 357 0.8× 748 2.7× 305 1.6× 554 3.4× 47 0.3× 71 1.2k
Peter Anderson Netherlands 13 517 1.2× 38 0.1× 37 0.2× 149 0.9× 193 1.3× 49 858
Mark Portelli Malta 9 189 0.4× 79 0.3× 44 0.2× 105 0.6× 32 0.2× 15 421
Ralf Rothmund Germany 16 256 0.6× 220 0.8× 22 0.1× 200 1.2× 50 0.3× 59 682
Christian Eichler Germany 18 465 1.1× 45 0.2× 187 1.0× 14 0.1× 189 1.2× 62 776
Daigo Ochiai Japan 14 141 0.3× 228 0.8× 82 0.4× 42 0.3× 21 0.1× 58 576
Thomas J. Clark United States 10 99 0.2× 88 0.3× 38 0.2× 91 0.6× 55 0.4× 31 620
Nasuh Utku Doğan Türkiye 16 223 0.5× 292 1.1× 83 0.4× 323 2.0× 24 0.2× 73 763
C.A.H. Klazen Netherlands 14 774 1.8× 46 0.2× 20 0.1× 45 0.3× 72 0.5× 22 954
Mikkel Rosendahl Denmark 22 394 0.9× 106 0.4× 27 0.1× 1.5k 9.1× 85 0.6× 39 2.3k

Countries citing papers authored by R.H.M. Verheijen

Since Specialization
Citations

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

Fields of papers citing papers by R.H.M. Verheijen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.H.M. Verheijen. 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 R.H.M. Verheijen. The network helps show where R.H.M. Verheijen may publish in the future.

Co-authorship network of co-authors of R.H.M. Verheijen

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

All Works

19 of 19 papers shown
1.
Verheijen, R.H.M., et al.. (2020). The influence of learning curve of robot‐assisted laparoscopy on oncological outcomes in early‐stage cervical cancer: an observational cohort study. BJOG An International Journal of Obstetrics & Gynaecology. 128(3). 563–571. 27 indexed citations
2.
3.
Rüsch, P, Thomas Ind, Rainer Kimmig, et al.. (2019). Recommendations for a standardised educational program in robot assisted gynaecological surgery: Consensus from the Society of European Robotic Gynaecological Surgery (SERGS).. PubMed. 11(1). 29–41. 22 indexed citations
4.
Castro, C.S. Arteaga de, Jacob P. Hoogendam, Alexander Raaijmakers, et al.. (2018). Proton MRS of cervical cancer at 7 T. NMR in Biomedicine. 32(1). 6 indexed citations
5.
Vergote, Ignace, Corneel Coens, Gunnar B. Kristensen, et al.. (2016). Meta-analysis of the randomized EORTC and chorus neoadjuvant versus primary debulking trials in advanced tubo-ovarian cancer.. 2 indexed citations
6.
Sluis, Pieter C. van der, et al.. (2013). [Centralization of robotic surgery: better results and cost savings].. PubMed. 157(28). A5228–A5228. 3 indexed citations
7.
Manchanda, Ranjit, M Halaška, Matthew Burnell, et al.. (2012). The need for accredited training in gynaecological oncology: a report from the European Network of Young Gynaecological Oncologists (ENYGO). Annals of Oncology. 24(4). 944–952. 18 indexed citations
8.
Verheijen, R.H.M., et al.. (2011). Laparoscopic skills training using inexpensive box trainers: which exercises to choose when constructing a validated training course. BJOG An International Journal of Obstetrics & Gynaecology. 118(13). 1576–1584. 56 indexed citations
9.
Zweemer, Ronald P., et al.. (2011). Training and learning robotic surgery, time for a more structured approach: a systematic review. BJOG An International Journal of Obstetrics & Gynaecology. 119(2). 137–149. 152 indexed citations
10.
Verheijen, R.H.M., et al.. (2008). Robotic surgery. BJOG An International Journal of Obstetrics & Gynaecology. 116(2). 198–213. 72 indexed citations
11.
Vergote, Ignace, C. Tropé, Frédéric Amant, et al.. (2008). EORTC-GcG/NCIC-CTG Randomised trial comparing primary debulking surgery with neoadjuvant chemotherapy in stage IIIC-IV ovarian, fallopian tube and peritoneal cancer (OVCA). 46 indexed citations
12.
Bicher, Annette, Robert L. Coleman, Darlene Gibbon, et al.. (2008). Exploratory phase II efficacy study of MORAb-003, a monoclonal antibody against folate receptor alpha, in platinum-sensitive ovarian cancer in first relapse. Journal of Clinical Oncology. 26(15_suppl). 5500–5500. 25 indexed citations
13.
Verleye, Leen, C. Coens, Frédéric Amant, et al.. (2008). Extreme drug resistance for Carboplatin predicts resistance to first-line therapy in advanced-stage ovarian cancer: results from the EORTC-GCG/NCIC-CTG Neoadjuvant Trial. 2 indexed citations
14.
Vergote, I., J. Baptist Trimbos, Frédéric Amant, et al.. (2007). Classification of radical hysterectomy adopted by the Gynecological Cancer Group of the European Organization for Research and Treatment of Cancer1. International Journal of Gynecological Cancer. 18(5). 1136–1138. 25 indexed citations
15.
Oudejans, Raôul R. D., et al.. (2005). How position and motion of expert assistant referees in soccer relate to the quality of their offside judgements during actual match play. International journal of sport psychology. 36. 3–21. 53 indexed citations
16.
17.
Lemmink, Koen, R.H.M. Verheijen, & Corine M. Visscher. (2004). The discriminative power of the Interval Shuttle Run Test and the Maximal Multistage Shuttle Run Test for playing level of soccer.. PubMed. 44(3). 233–9. 26 indexed citations
18.
Hullu, Joanne A. de, H. Hollema, D.A. Piers, et al.. (2000). Sentinel Lymph Node Procedure Is Highly Accurate in Squamous Cell Carcinoma of the Vulva. Journal of Clinical Oncology. 18(15). 2811–2816. 263 indexed citations
19.
Verheijen, R.H.M., et al.. (1996). Mucin-Like Carcinoma-Associated Antigen Serum Levels in Patients with Adenocarcinomas Originating from Ovary, Breast and Colon. Gynecologic and Obstetric Investigation. 42(1). 58–62. 10 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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