Thomas Scheeren

9.5k total citations · 2 hit papers
211 papers, 5.3k citations indexed

About

Thomas Scheeren is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Thomas Scheeren has authored 211 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Surgery, 103 papers in Cardiology and Cardiovascular Medicine and 48 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Thomas Scheeren's work include Hemodynamic Monitoring and Therapy (116 papers), Cardiac, Anesthesia and Surgical Outcomes (68 papers) and Non-Invasive Vital Sign Monitoring (30 papers). Thomas Scheeren is often cited by papers focused on Hemodynamic Monitoring and Therapy (116 papers), Cardiac, Anesthesia and Surgical Outcomes (68 papers) and Non-Invasive Vital Sign Monitoring (30 papers). Thomas Scheeren collaborates with scholars based in Netherlands, Germany and United States. Thomas Scheeren's co-authors include Bernd Saugel, Lothar A. Schwarte, Jean–Louis Teboul, O. Picker, Patrick Schober, Jaap Jan Vos, Anthony Absalom, A. Fournell, Michel Struys and G. Wietasch and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Thomas Scheeren

204 papers receiving 5.2k citations

Hit Papers

Monitoring tissue oxygenation by near infrared spectrosco... 2012 2026 2016 2021 2012 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Scheeren Netherlands 39 2.6k 2.2k 993 966 844 211 5.3k
Sven‐Erik Ricksten Sweden 47 2.4k 0.9× 2.7k 1.2× 643 0.6× 1.1k 1.1× 491 0.6× 185 6.1k
P Pietropaoli Italy 40 2.5k 0.9× 1.8k 0.8× 999 1.0× 1.0k 1.0× 526 0.6× 110 4.7k
B. Vallet France 43 3.5k 1.3× 2.3k 1.1× 1.3k 1.3× 1.0k 1.1× 594 0.7× 196 6.9k
Alexandre Ouattara France 31 1.6k 0.6× 1.3k 0.6× 702 0.7× 877 0.9× 745 0.9× 189 4.0k
Sheldon Magder Canada 41 2.1k 0.8× 1.8k 0.8× 947 1.0× 1.5k 1.5× 678 0.8× 160 5.1k
J. Motsch Germany 40 2.6k 1.0× 1.3k 0.6× 777 0.8× 814 0.8× 389 0.5× 207 5.8k
Azriel Perel Israel 39 3.8k 1.4× 2.6k 1.2× 993 1.0× 1.2k 1.2× 1.4k 1.6× 144 5.7k
Berthold Bein Germany 49 3.2k 1.2× 2.3k 1.0× 1.7k 1.7× 1.1k 1.1× 1.1k 1.3× 261 7.4k
Ulrich Schmidt United States 46 1.5k 0.6× 3.4k 1.6× 652 0.7× 1.2k 1.2× 263 0.3× 218 8.0k
Daniel A. Reuter Germany 37 4.0k 1.5× 2.9k 1.4× 1.0k 1.0× 645 0.7× 1.4k 1.7× 185 5.3k

Countries citing papers authored by Thomas Scheeren

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Scheeren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Scheeren

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Scheeren. A scholar is included among the top collaborators of Thomas Scheeren 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 Thomas Scheeren. Thomas Scheeren 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.
Jian, Zhongping, Xianfu Liu, Karim Kouz, et al.. (2025). Deep learning model to identify and validate hypotension endotypes in surgical and critically ill patients. British Journal of Anaesthesia. 134(2). 308–316. 4 indexed citations
2.
3.
Amsterdam, Kai van, Thomas Scheeren, Anthony Absalom, et al.. (2024). Comparing the haemodynamic effects of high- and low-dose opioid anaesthesia: a secondary analysis of a randomised controlled trial. Journal of Clinical Monitoring and Computing. 38(6). 1347–1355.
4.
Brandsborg, Birgitte, Peter Juhl‐Olsen, Stephen Edward Rees, et al.. (2023). The effects of respiratory rate and tidal volume on pulse pressure variation in healthy lungs–a generalized additive model approach may help overcome limitations. Journal of Clinical Monitoring and Computing. 38(1). 57–67. 2 indexed citations
5.
Franco, Rafael Alves, Juliano Pinheiro de Almeida, Giovanni Landoni, et al.. (2021). Dobutamine-sparing versus dobutamine-to-all strategy in cardiac surgery: a randomized noninferiority trial. Annals of Intensive Care. 11(1). 15–15. 9 indexed citations
6.
Flick, Moritz, et al.. (2021). The effect of moderate intraoperative blood loss and norepinephrine therapy on sublingual microcirculatory perfusion in patients having open radical prostatectomy. European Journal of Anaesthesiology. 38(5). 459–467. 13 indexed citations
7.
Hoffmann, Lisa, et al.. (2020). Cerebral oxygenation during pediatric congenital cardiac surgery and its association with outcome: a retrospective observational study. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 67(9). 1170–1181. 6 indexed citations
8.
Hiemstra, Bart, Ruben J. Eck, Renske Wiersema, et al.. (2019). Clinical Examination for the Prediction of Mortality in the Critically Ill: The Simple Intensive Care Studies-I. Critical Care Medicine. 47(10). 1301–1309. 11 indexed citations
9.
Kaufmann, Thomas, et al.. (2019). Which type of fluid to use perioperatively?. Journal of Emergency and Critical Care Medicine. 3. 51–51. 1 indexed citations
10.
Hiemstra, Bart, Geert Koster, Renske Wiersema, et al.. (2019). The diagnostic accuracy of clinical examination for estimating cardiac index in critically ill patients: the Simple Intensive Care Studies-I. Intensive Care Medicine. 45(2). 190–200. 28 indexed citations
11.
Bruin, Sanne de, et al.. (2019). Transfusion practice in the non-bleeding critically ill: an international online survey—the TRACE survey. Critical Care. 23(1). 309–309. 39 indexed citations
12.
Scheeren, Thomas, et al.. (2018). Understanding the carbon dioxide gaps. Current Opinion in Critical Care. 24(3). 181–189. 30 indexed citations
13.
Vistisen, Simon Tilma, et al.. (2018). Extrasystoles for fluid responsiveness prediction in critically ill patients. Journal of Intensive Care. 6(1). 52–52. 9 indexed citations
14.
Shin, Christina H., Dustin R. Long, Duncan McLean, et al.. (2017). Effects of Intraoperative Fluid Management on Postoperative Outcomes. Annals of Surgery. 267(6). 1084–1092. 166 indexed citations
15.
Kalmar, Alain F., et al.. (2012). Validation of continuous noninvasive arterial blood pressure measurements during general anesthesia. Anesthesiology. 2 indexed citations
16.
Roesner, Jan P., Peter Petzelbauer, Thomas Iber, et al.. (2008). B beta(15-42) reduces organ damage in a pig model of hemorrhagic shock and reperfusion. Shock. 29. 51–51. 1 indexed citations
17.
Beck, Christiane E., et al.. (2008). Effect of hypercapnia on microvascular gastric mucosal oxygenation under physiological and compromised circulatory conditions in dogs. Shock. 29. 60–60. 1 indexed citations
18.
Roesner, Jan P., Peter Petzelbauer, Alexander Koch, et al.. (2007). The fibrin-derived peptide Bβ15–42 is cardioprotective in a pig model of myocardial ischemia-reperfusion injury*. Critical Care Medicine. 35(7). 1730–1735. 44 indexed citations
19.
Picker, O., et al.. (2003). Comparison of the role of endothelin, vasopressin and angiotensin in arterial pressure regulation during sevoflurane anaesthesia in dogs. British Journal of Anaesthesia. 92(1). 102–108. 11 indexed citations
20.
Picker, O., et al.. (2001). Determination of total blood volume by indicator dilution: a comparison of mean transit time and mass conservation principle. Intensive Care Medicine. 27(4). 767–774. 18 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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