Jaap Schuurmans

1.6k total citations
33 papers, 576 citations indexed

About

Jaap Schuurmans is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jaap Schuurmans has authored 33 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 7 papers in Cardiology and Cardiovascular Medicine and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jaap Schuurmans's work include Hemodynamic Monitoring and Therapy (10 papers), Cardiac, Anesthesia and Surgical Outcomes (7 papers) and Palliative Care and End-of-Life Issues (6 papers). Jaap Schuurmans is often cited by papers focused on Hemodynamic Monitoring and Therapy (10 papers), Cardiac, Anesthesia and Surgical Outcomes (7 papers) and Palliative Care and End-of-Life Issues (6 papers). Jaap Schuurmans collaborates with scholars based in Netherlands, United States and Chile. Jaap Schuurmans's co-authors include Ruud Kraayenhof, J. Carel Goslings, Tim Schepers, Robert P. Casey, Yvonne Engels, J. M. Muller, J. Heise, A. Naber, A. C. Brinkman and W. A. Mels and has published in prestigious journals such as PLANT PHYSIOLOGY, Analytical Biochemistry and FEBS Letters.

In The Last Decade

Jaap Schuurmans

31 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaap Schuurmans Netherlands 13 137 134 128 75 75 33 576
Patricia A. Clark United States 15 35 0.3× 62 0.5× 115 0.9× 7 0.1× 113 1.5× 37 790
Eyal Cohen‬‏ Canada 16 76 0.6× 104 0.8× 8 0.1× 13 0.2× 152 2.0× 74 885
Judith Cohen United Kingdom 14 33 0.2× 8 0.1× 41 0.3× 23 0.3× 26 0.3× 53 814
Andrew McLeod United Kingdom 13 151 1.1× 86 0.6× 39 0.3× 13 0.2× 10 0.1× 15 545
Jillian Gustin United States 16 25 0.2× 499 3.7× 272 2.1× 13 0.2× 239 3.2× 56 940
Marcin Gruszecki Poland 12 27 0.2× 140 1.0× 114 0.9× 27 0.4× 12 0.2× 30 374
Thomas A. Peyser United States 23 709 5.2× 175 1.3× 121 0.9× 15 0.2× 15 0.2× 41 1.6k
Bart Willems United States 12 21 0.2× 175 1.3× 41 0.3× 7 0.1× 24 0.3× 23 461
Alex Dahlen United States 13 43 0.3× 142 1.1× 81 0.6× 19 0.3× 40 626
Ségolène Gaillard France 18 60 0.4× 36 0.3× 75 0.6× 7 0.1× 26 0.3× 64 1.1k

Countries citing papers authored by Jaap Schuurmans

Since Specialization
Citations

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

Fields of papers citing papers by Jaap Schuurmans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaap Schuurmans

This figure shows the co-authorship network connecting the top 25 collaborators of Jaap Schuurmans. A scholar is included among the top collaborators of Jaap Schuurmans 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 Jaap Schuurmans. Jaap Schuurmans 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.
Paganelli, Fernanda L., Joris M. van Montfrans, Pauline M. Ellerbroek, et al.. (2025). Gut microbial dysbiosis, IgA, and Enterococcus in common variable immunodeficiency with immune dysregulation. Microbiome. 13(1). 12–12. 6 indexed citations
2.
Schuurmans, Jaap, J. Tol, Niels van Mourik, et al.. (2024). Hypotension during intensive care stay and mortality and morbidity: a systematic review and meta-analysis. Intensive Care Medicine. 50(4). 516–525. 9 indexed citations
3.
Schuurmans, Jaap, Jimmy Schenk, Björn J. P. van der Ster, et al.. (2024). Effect of a Machine Learning-Derived Early Warning Tool With Treatment Protocol on Hypotension During Cardiac Surgery and ICU Stay: The Hypotension Prediction 2 (HYPE-2) Randomized Clinical Trial. Critical Care Medicine. 53(2). e328–e340. 6 indexed citations
6.
Terwindt, Lotte E., Jaap Schuurmans, Björn J. P. van der Ster, et al.. (2022). Incidence, Severity and Clinical Factors Associated with Hypotension in Patients Admitted to an Intensive Care Unit: A Prospective Observational Study. Journal of Clinical Medicine. 11(22). 6832–6832. 5 indexed citations
7.
Schenk, Jimmy, Ward H. van der Ven, Jaap Schuurmans, et al.. (2021). Definition and incidence of hypotension in intensive care unit patients, an international survey of the European Society of Intensive Care Medicine. Journal of Critical Care. 65. 142–148. 18 indexed citations
8.
Ven, Ward H. van der, Jaap Schuurmans, Jimmy Schenk, et al.. (2021). Monitoring, management, and outcome of hypotension in Intensive Care Unit patients, an international survey of the European Society of Intensive Care Medicine. Journal of Critical Care. 67. 118–125. 14 indexed citations
9.
Schuurmans, Jaap, et al.. (2021). The COVID-19 pandemic: A tipping point for advance care planning? Experiences of general practitioners. Palliative Medicine. 35(7). 1238–1248. 23 indexed citations
10.
Schuurmans, Jaap, Ward H. van der Ven, Susanne Eberl, et al.. (2021). Machine learning methods for perioperative anesthetic management in cardiac surgery patients: a scoping review. Journal of Thoracic Disease. 13(12). 6976–6993. 6 indexed citations
11.
12.
Wijnberge, Marije, Jaap Schuurmans, Rob B. P. de Wilde, et al.. (2020). Defining human mean circulatory filling pressure in the intensive care unit. Journal of Applied Physiology. 129(2). 311–316. 5 indexed citations
13.
Schuurmans, Jaap, et al.. (2020). Dutch GPs’ experience of burden by euthanasia requests from people with dementia: a quantitative survey. BJGP Open. 5(1). bjgpopen20X101123–bjgpopen20X101123. 14 indexed citations
14.
Schuurmans, Jaap, et al.. (2019). Euthanasia requests in dementia cases; what are experiences and needs of Dutch physicians? A qualitative interview study. BMC Medical Ethics. 20(1). 66–66. 28 indexed citations
15.
Schuurmans, Jaap, J. Carel Goslings, & Tim Schepers. (2016). Operative management versus non-operative management of rib fractures in flail chest injuries: a systematic review. European Journal of Trauma and Emergency Surgery. 43(2). 163–168. 82 indexed citations
16.
Schuurmans, Jaap. (2015). Ons trauma. 17(5). 17–17. 1 indexed citations
17.
Ceballos, M. T., Beatriz Cobo, Raquel Fraga-Encinas, J. van der Kuur, & Jaap Schuurmans. (2012). Pulse Detection and Processing in TES Detectors. 461. 777. 1 indexed citations
18.
Verrecchia, F., et al.. (2007). The BeppoSAX WFC source catalogue. AIP conference proceedings. 923–927. 1 indexed citations
19.
Jäger, R., W. A. Mels, A. C. Brinkman, et al.. (1997). The Wide Field Cameras onboard the BeppoSAX X-ray Astronomy Satellite. Astronomy and Astrophysics Supplement Series. 125(3). 557–572. 117 indexed citations
20.
Schuurmans, Jaap & Ruud Kraayenhof. (1983). ENERGY‐REGULATED FUNCTIONAL TRANSITIONS OF CHLOROPLAST ATPASE. Photochemistry and Photobiology. 37(1). 85–91. 8 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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