Jimmy Schenk

1.1k total citations · 1 hit paper
32 papers, 549 citations indexed

About

Jimmy Schenk is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Neurology. According to data from OpenAlex, Jimmy Schenk has authored 32 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Surgery, 21 papers in Cardiology and Cardiovascular Medicine and 4 papers in Neurology. Recurrent topics in Jimmy Schenk's work include Hemodynamic Monitoring and Therapy (20 papers), Cardiac, Anesthesia and Surgical Outcomes (17 papers) and Blood Pressure and Hypertension Studies (7 papers). Jimmy Schenk is often cited by papers focused on Hemodynamic Monitoring and Therapy (20 papers), Cardiac, Anesthesia and Surgical Outcomes (17 papers) and Blood Pressure and Hypertension Studies (7 papers). Jimmy Schenk collaborates with scholars based in Netherlands, United States and Israel. Jimmy Schenk's co-authors include Denise P. Veelo, Alexander P. J. Vlaar, Bart F. Geerts, Markus W. Hollmann, Marije Wijnberge, Lotte E. Terwindt, Liselotte Hol, Marijn P. Mulder, Esther Bulle and Jan M. Binnekade and has published in prestigious journals such as JAMA, Scientific Reports and Critical Care Medicine.

In The Last Decade

Jimmy Schenk

28 papers receiving 540 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.

Effect of a Machine Learning–Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery

2020 321 citations Marije Wijnberge, Bart F. Geerts et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jimmy Schenk Netherlands	8	362	319	119	72	47	32	549
Lotte E. Terwindt Netherlands	6	273 0.8×	231 0.7×	109 0.9×	57 0.8×	42 0.9×	17	399
Sophie Provenchère France	15	283 0.8×	631 2.0×	38 0.3×	57 0.8×	248 5.3×	48	863
Timur Sellmann Germany	8	83 0.2×	74 0.2×	44 0.4×	17 0.2×	27 0.6×	31	322
Nirav Shah United States	11	259 0.7×	264 0.8×	19 0.2×	15 0.2×	22 0.5×	31	534
Nikhil K. Chanani United States	12	143 0.4×	139 0.4×	13 0.1×	97 1.3×	214 4.6×	38	511
Eric N. Meier United States	10	152 0.4×	25 0.1×	33 0.3×	64 0.9×	37 0.8×	20	548
Walid Ben Ali Canada	13	602 1.7×	713 2.2×	18 0.2×	46 0.6×	262 5.6×	36	1.0k
Linda Halpin United States	13	230 0.6×	364 1.1×	7 0.1×	22 0.3×	74 1.6×	34	558
Louis Mullie Canada	10	171 0.5×	186 0.6×	10 0.1×	10 0.1×	56 1.2×	19	601
Sabri Soussi France	14	143 0.4×	74 0.2×	9 0.1×	109 1.5×	155 3.3×	35	429

Countries citing papers authored by Jimmy Schenk

Since Specialization

Citations

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

Fields of papers citing papers by Jimmy Schenk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jimmy Schenk

This figure shows the co-authorship network connecting the top 25 collaborators of Jimmy Schenk. A scholar is included among the top collaborators of Jimmy Schenk 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 Jimmy Schenk. Jimmy Schenk 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

Brouwers, Martijn C.G.J., Jimmy Schenk, Jennifer S. Breel, et al.. (2025). Pre‐operative reference ranges for ROTEM ^® sigma in patients undergoing cardiac surgery: a secondary analysis of two prospective trial cohorts. Anaesthesia. 80(8). 935–945. 1 indexed citations

Ven, Ward H. van der, Lotte E. Terwindt, Eline Kho, et al.. (2025). Differences in incidence of post-induction hypotension depending on the time of day: a post-hoc propensity score matched analysis. Journal of Clinical Anesthesia. 107. 111984–111984.

Lam, Y. W. Francis, Rogier V. Immink, Jimmy Schenk, et al.. (2025). The role of blood pressure versus oxygen administration on cerebral oxygenation during and after anaesthesia induction. European Journal of Anaesthesiology. 43(3). 226–234.

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

Breel, Jennifer S., Jimmy Schenk, Susanne Eberl, et al.. (2024). Comparison of ROTEM® Delta and ROTEM® Sigma transfusion algorithm performance in thoracic aortic surgery: a single-centre prospective observational cohort study. British Journal of Anaesthesia. 134(2). 317–327. 2 indexed citations

Schenk, Jimmy, et al.. (2024). Prediction of emergency department presentations for acute coronary syndrome using a machine learning approach. Scientific Reports. 14(1). 23125–23125. 2 indexed citations

Tol, J., et al.. (2024). Differences in the Incidence of Hypotension and Hypertension between Sexes during Non-Cardiac Surgery: A Systematic Review and Meta-Analysis. Journal of Clinical Medicine. 13(3). 666–666. 1 indexed citations

Kho, Eline, Rogier V. Immink, Ward H. van der Ven, et al.. (2024). Defining Postinduction Hemodynamic Instability With an Automated Classification Model. Anesthesia & Analgesia. 140(2). 444–452. 1 indexed citations

Breteler, Martine J. M., Philipp Lirk, Els J. Nieveen van Dijkum, et al.. (2024). Surveillance of high-risk early postsurgical patients for real-time detection of complications using wireless monitoring (SHEPHERD study): results of a randomized multicenter stepped wedge cluster trial. Frontiers in Medicine. 10. 1295499–1295499. 4 indexed citations

10.

Terwindt, Lotte E., Ward H. van der Ven, Björn J. P. van der Ster, et al.. (2024). The influence of anesthetic drug strategy on the incidence of post-induction hypotension in elective, non-cardiac surgery – A prospective observational cohort study. Journal of Clinical Anesthesia. 99. 111671–111671. 1 indexed citations

11.

Tol, J., Lotte E. Terwindt, Marije Wijnberge, et al.. (2024). Performance of a Machine Learning Algorithm to Predict Hypotension in Spontaneously Breathing Non-Ventilated Post-Anesthesia and ICU Patients. Journal of Personalized Medicine. 14(2). 210–210. 1 indexed citations

12.

Schuurmans, Jaap, et al.. (2023). Feasibility of continuous non-invasive finger blood pressure monitoring in adult patients admitted to an intensive care unit: A retrospective cohort study. Heart & Lung. 61. 51–58.

13.

Schuurmans, Jaap, Jimmy Schenk, Björn J. P. van der Ster, et al.. (2023). Effect of the machine learning-derived Hypotension Prediction Index (HPI) combined with diagnostic guidance versus standard care on depth and duration of intraoperative and postoperative hypotension in elective cardiac surgery patients: HYPE-2 – study protocol of a randomised clinical trial. BMJ Open. 13(5). e061832–e061832. 7 indexed citations

14.

Weiland, Nicolaas H. Sperna, Jimmy Schenk, Eline Kho, et al.. (2023). Dynamic cerebral autoregulation during step-wise increases in blood pressure during anaesthesia. European Journal of Anaesthesiology. 40(6). 407–417. 4 indexed citations

15.

Schenk, Jimmy, Eline S. de Klerk, Bart F. Geerts, et al.. (2022). Reducing postoperative fasting times by implementing a food service in the Post Anaesthesia Care Unit (PACU). Clinical Nutrition ESPEN. 51. 280–287. 1 indexed citations

16.

Wijnberge, Marije, Jimmy Schenk, Esther Bulle, et al.. (2021). Association of intraoperative hypotension with postoperative morbidity and mortality: systematic review and meta-analysis. BJS Open. 5(1). 58 indexed citations

17.

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

18.

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

19.

Schenk, Jimmy, Marije Wijnberge, Jolanda Maaskant, et al.. (2021). Effect of Hypotension Prediction Index-guided intraoperative haemodynamic care on depth and duration of postoperative hypotension: a sub-study of the Hypotension Prediction trial. British Journal of Anaesthesia. 127(5). 681–688. 32 indexed citations

20.

Wijnberge, Marije, Jimmy Schenk, Lotte E. Terwindt, et al.. (2019). The use of a machine-learning algorithm that predicts hypotension during surgery in combination with personalized treatment guidance: study protocol for a randomized clinical trial. Trials. 20(1). 582–582. 17 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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