Hans Reitsma

782 total citations · 1 hit paper
8 papers, 502 citations indexed

About

Hans Reitsma is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hans Reitsma has authored 8 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hans Reitsma's work include Cardiovascular Function and Risk Factors (2 papers), Meta-analysis and systematic reviews (1 paper) and MRI in cancer diagnosis (1 paper). Hans Reitsma is often cited by papers focused on Cardiovascular Function and Risk Factors (2 papers), Meta-analysis and systematic reviews (1 paper) and MRI in cancer diagnosis (1 paper). Hans Reitsma collaborates with scholars based in Netherlands. Hans Reitsma's co-authors include Harm H.E. van Melick, Diederik M. Somford, Jelle O. Barentsz, Jackie Bosch, Lotty Hooft, Olivier Wegelin, Arno W. Hoes, Frans H. Rutten, Gideon Valstar and Aisha Gohar and has published in prestigious journals such as European Urology, Heart and Annals of Surgical Oncology.

In The Last Decade

Hans Reitsma

7 papers receiving 496 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.

Comparing Three Different Techniques for Magnetic Resonance Imaging-targeted Prostate Biopsies: A Systematic Review of In-bore versus Magnetic Resonance Imaging-transrectal Ultrasound fusion versus Cognitive Registration. Is There a Preferred Technique?

2016 301 citations Olivier Wegelin, Harm H.E. van Melick et al. European Urology profile →

Peers

Hans Reitsma

PRM

RHEUM

RNMI

SURGE

CCM

R. Popert United Kingdom

Michael Dobrovits Austria

Oğuz Yavuzgil Türkiye

Omran Al Dandan Saudi Arabia

Antonio Nacchia Italy

Frederick A. Gulmi United States

K Hiramatsu Japan

Nicholas Said United States

Nasir Sıvrı Türkiye

Katsuya Hikita Japan

R. Popert United Kingdom

Hans Reitsma

360 ×1.1

PRM

138 ×1.1

RHEUM

64 ×0.6

RNMI

130 ×1.3

SURGE

36 ×0.5

CCM

Citations per year, relative to Hans Reitsma Hans Reitsma (= 1×) peers R. Popert

Countries citing papers authored by Hans Reitsma

Since Specialization

Citations

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

Fields of papers citing papers by Hans Reitsma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Reitsma

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

All Works

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8 of 8 papers shown

1.

Bouthoorn, Selma H., Gideon Valstar, Aisha Gohar, et al.. (2018). The prevalence of left ventricular diastolic dysfunction and heart failure with preserved ejection fraction in men and women with type 2 diabetes: A systematic review and meta-analysis. Diabetes and Vascular Disease Research. 15(6). 477–493. 100 indexed citations

2.

Wegelin, Olivier, Harm H.E. van Melick, Lotty Hooft, et al.. (2016). Comparing Three Different Techniques for Magnetic Resonance Imaging-targeted Prostate Biopsies: A Systematic Review of In-bore versus Magnetic Resonance Imaging-transrectal Ultrasound fusion versus Cognitive Registration. Is There a Preferred Technique?. European Urology. 71(4). 517–531. 301 indexed citations breakdown →

3.

Bottelier, Marco, Anouk Schrantee, Michiel B. de Ruiter, et al.. (2014). The effects of Psychotropic drugs On Developing brain (ePOD) study: methods and design. BMC Psychiatry. 14(1). 48–48. 21 indexed citations

4.

Rutten, Frans H., et al.. (2011). . Heart. 97(7). 605–605. 8 indexed citations

5.

Rutten, Frans H., et al.. (2011). Heart-type fatty acid-binding protein in the early diagnosis of acute myocardial infarction: a systematic review and meta-analysis reply. 97(7).

6.

Heijl, Mark van, Mirjam A. G. Sprangers, Angela G. E. M. de Boer, et al.. (2009). Preoperative and Early Postoperative Quality of Life Predict Survival in Potentially Curable Patients with Esophageal Cancer. Annals of Surgical Oncology. 17(1). 23–30. 52 indexed citations

7.

Saltzherr, Teun Peter, Fred C. Bakker, Kees Jan Ponsen, et al.. (2008). An evaluation of a Shockroom located CT scanner: a randomized study of early assessment by CT scanning in trauma patients in the bi-located trauma center North-West Netherlands (REACT trial). BMC Emergency Medicine. 8(1). 10–10. 18 indexed citations

8.

Reitsma, Hans. (2004). The STARD initiative - Towards complete and accurate reporting of studies of diagnostic accuracy. Pure Amsterdam UMC. 2 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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