Jens Meier

5.0k total citations
115 papers, 1.4k citations indexed

About

Jens Meier is a scholar working on Emergency Medicine, Biochemistry and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Jens Meier has authored 115 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Emergency Medicine, 29 papers in Biochemistry and 28 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Jens Meier's work include Blood transfusion and management (29 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (25 papers) and Cardiac Arrest and Resuscitation (22 papers). Jens Meier is often cited by papers focused on Blood transfusion and management (29 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (25 papers) and Cardiac Arrest and Resuscitation (22 papers). Jens Meier collaborates with scholars based in Austria, Germany and United States. Jens Meier's co-authors include O. Häbler, G. Kemming, Andreas Pape, Carl Böck, Thomas Tschoellitsch, Hille Kisch-Wedel, Martin W. Dünser, Beverley J. Hunt, David Faraoni and Philippe J. Van der Linden and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Jens Meier

102 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jens Meier Austria 21 495 420 330 217 190 115 1.4k
Christoph Kaufmann United States 17 117 0.2× 828 2.0× 1.1k 3.4× 642 3.0× 172 0.9× 50 2.0k
AH Kiessling Germany 17 182 0.4× 207 0.5× 95 0.3× 233 1.1× 150 0.8× 60 879
Martin Sillesen Denmark 22 61 0.1× 343 0.8× 395 1.2× 252 1.2× 106 0.6× 82 1.3k
Arulselvi Subramanian India 20 91 0.2× 166 0.4× 199 0.6× 102 0.5× 61 0.3× 90 953
Manfred D. Seeberger Switzerland 30 176 0.4× 753 1.8× 225 0.7× 1.6k 7.3× 478 2.5× 116 3.2k
Claude Laflamme Canada 17 62 0.1× 347 0.8× 268 0.8× 360 1.7× 146 0.8× 70 1.4k
Lawrence L. Creswell United States 22 149 0.3× 173 0.4× 136 0.4× 971 4.5× 327 1.7× 50 2.5k
HC Kim United States 14 172 0.3× 134 0.3× 72 0.2× 125 0.6× 59 0.3× 31 1.2k
Hiroyuki Yoshihara Japan 19 83 0.2× 112 0.3× 85 0.3× 498 2.3× 55 0.3× 103 1.4k
Ruggero De Paulis Italy 34 232 0.5× 142 0.3× 386 1.2× 1.6k 7.3× 1.9k 10.2× 206 4.2k

Countries citing papers authored by Jens Meier

Since Specialization
Citations

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

Fields of papers citing papers by Jens Meier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Meier

This figure shows the co-authorship network connecting the top 25 collaborators of Jens Meier. A scholar is included among the top collaborators of Jens Meier 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 Jens Meier. Jens Meier 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.
Dionne, Joanna C., Simon Oczkowski, Cécile Aubron, et al.. (2025). Reversal of antithrombotics in the critically ill: An international online survey. Journal of Critical Care. 89. 155101–155101.
2.
Swol, Justyna, et al.. (2025). Extracorporeal cardiopulmonary resuscitation in trauma patients: An analysis of the ELSO registry. Resuscitation. 218. 110884–110884.
3.
Tschoellitsch, Thomas, Philipp Moser, Philipp Seidl, et al.. (2024). Machine learning prediction of unexpected readmission or death after discharge from intensive care: A retrospective cohort study. Journal of Clinical Anesthesia. 99. 111654–111654. 2 indexed citations
4.
Dünser, Martin W., Thomas Tschoellitsch, Markus Brückner, et al.. (2024). Emergency critical care: closing the gap between onset of critical illness and intensive care unit admission. Wiener klinische Wochenschrift. 136(23-24). 651–661. 4 indexed citations
5.
Böck, Carl, et al.. (2023). Acquired Factor XIII Deficiency Is Common during ECMO Therapy and Associated with Major Bleeding Events and Transfusion Requirements. Journal of Clinical Medicine. 12(12). 4115–4115. 9 indexed citations
6.
7.
Böck, Carl, et al.. (2023). Variability of expert assessments of ECG time domain parameters. PubMed. 2(2). e0020–e0020. 2 indexed citations
8.
Tschoellitsch, Thomas, et al.. (2023). The Value of the First Clinical Impression as Assessed by 18 Observations in Patients Presenting to the Emergency Department. Journal of Clinical Medicine. 12(2). 724–724. 2 indexed citations
9.
Meier, Jens, et al.. (2023). Risikofaktoren für COVID-19-Mortalität. AINS - Anästhesiologie · Intensivmedizin · Notfallmedizin · Schmerztherapie. 58(6). 362–372.
10.
Meier, Jens, et al.. (2022). Blood flow but not cannula positioning influences the efficacy of Veno-Venous ECMO therapy. Scientific Reports. 12(1). 20950–20950. 8 indexed citations
11.
Vlaar, Alexander P. J., Simon Oczkowski, Sanne de Bruin, et al.. (2020). Transfusion strategies in non-bleeding critically ill adults: a clinical practice guideline from the European Society of Intensive Care Medicine. Intensive Care Medicine. 46(4). 673–696. 123 indexed citations
12.
Shander, Aryeh, J Brown, Marc Licker, et al.. (2020). Standards and Best Practice for Acute Normovolemic Hemodilution: Evidence-based Consensus Recommendations. Journal of Cardiothoracic and Vascular Anesthesia. 34(7). 1755–1760. 15 indexed citations
13.
Faraoni, David, Jens Meier, Helen V. New, Philippe J. Van der Linden, & Beverley J. Hunt. (2019). Patient Blood Management for Neonates and Children Undergoing Cardiac Surgery: 2019 NATA Guidelines. Journal of Cardiothoracic and Vascular Anesthesia. 33(12). 3249–3263. 79 indexed citations
14.
Jacob, Matthias, et al.. (2016). Reduction of transfusion requirements in pediatric craniosynostosis surgery by a new local hemostatic agent. Journal of Cranio-Maxillofacial Surgery. 44(9). 1246–1251. 5 indexed citations
15.
16.
Zacharowski, Kai, et al.. (2011). Hyperoxic ventilation improves survival in pigs during endotoxaemia at the critical hemoglobin concentration. Resuscitation. 82(4). 473–480. 5 indexed citations
17.
Scheller, Bertram, Gordon Pipa, Joachim R. Ehrlich, et al.. (2010). LOW HEMOGLOBIN LEVELS DURING NORMOVOLEMIA ARE ASSOCIATED WITH ELECTROCARDIOGRAPHIC CHANGES IN PIGS. Shock. 35(4). 375–381. 7 indexed citations
18.
Schuh, Günther, et al.. (2005). Chance Robotik. Zeitschrift für wirtschaftlichen Fabrikbetrieb. 100(7-8). 416–419. 1 indexed citations
19.
Häbler, O., et al.. (2004). Indikation zur Bluttransfusion bei orthop�dischen Eingriffen. Der Orthopäde. 33(7). 774–83. 6 indexed citations
20.
Meier, Jens. (2003). A computer model of fractal myocardial perfusion heterogeneity to elucidate mechanisms of changes in critical coronary stenosis and hypotension. Bulletin of Mathematical Biology. 66(5). 1155–1171. 6 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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