W. Schlack

5.5k total citations · 1 hit paper
130 papers, 4.3k citations indexed

About

W. Schlack is a scholar working on Pathology and Forensic Medicine, Developmental Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, W. Schlack has authored 130 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Pathology and Forensic Medicine, 67 papers in Developmental Neuroscience and 44 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in W. Schlack's work include Cardiac Ischemia and Reperfusion (89 papers), Anesthesia and Neurotoxicity Research (67 papers) and Cardiac Arrest and Resuscitation (44 papers). W. Schlack is often cited by papers focused on Cardiac Ischemia and Reperfusion (89 papers), Anesthesia and Neurotoxicity Research (67 papers) and Cardiac Arrest and Resuscitation (44 papers). W. Schlack collaborates with scholars based in Germany, Netherlands and United States. W. Schlack's co-authors include Benedikt Preckel, V. Thämer, Nina C. Weber, Jost Müllenheim, Detlef Obal, Markus W. Hollmann, D. Ebel, Octavian Toma, Ragnar Huhn and Marja A. Boermeester and has published in prestigious journals such as New England Journal of Medicine, Circulation and The FASEB Journal.

In The Last Decade

W. Schlack

129 papers receiving 4.2k citations

Hit Papers

Effect of a Comprehensive Surgical Safety System on Patie... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Schlack Germany 36 2.3k 2.0k 1.3k 1.3k 671 130 4.3k
Andreas Zollinger Switzerland 35 411 0.2× 303 0.2× 630 0.5× 1.3k 1.0× 1.9k 2.8× 125 3.7k
Matti Tarkka Finland 31 645 0.3× 306 0.2× 416 0.3× 1.6k 1.2× 1.3k 1.9× 166 3.6k
Daniel J. Cole United States 36 443 0.2× 879 0.4× 357 0.3× 394 0.3× 544 0.8× 129 3.9k
Gilles Lebuffe France 31 316 0.1× 362 0.2× 227 0.2× 862 0.7× 1.8k 2.7× 134 3.4k
Shamay Cotev Israel 27 109 0.0× 136 0.1× 558 0.4× 843 0.7× 1.3k 1.9× 123 3.5k
Jean‐Luc Hanouz France 28 475 0.2× 358 0.2× 482 0.4× 957 0.8× 988 1.5× 163 2.8k
Edward Lowenstein United States 32 428 0.2× 212 0.1× 466 0.4× 1.2k 1.0× 1.2k 1.7× 103 3.4k
Hilary P. Grocott United States 47 637 0.3× 1.8k 0.9× 908 0.7× 3.7k 2.9× 3.3k 4.9× 193 8.1k
Jayant K. Deshpande United States 30 68 0.0× 297 0.1× 313 0.2× 372 0.3× 625 0.9× 80 2.5k
I. Murat France 32 133 0.1× 959 0.5× 138 0.1× 1.3k 1.1× 1.8k 2.6× 137 4.2k

Countries citing papers authored by W. Schlack

Since Specialization
Citations

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

Fields of papers citing papers by W. Schlack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Schlack

This figure shows the co-authorship network connecting the top 25 collaborators of W. Schlack. A scholar is included among the top collaborators of W. Schlack 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 W. Schlack. W. Schlack 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.
Preckel, Benedikt, Marcus J. Schultz, Alexander P. J. Vlaar, et al.. (2020). Update for Anaesthetists on Clinical Features of COVID-19 Patients and Relevant Management. Journal of Clinical Medicine. 9(5). 1495–1495. 8 indexed citations
2.
Koers, Lena, et al.. (2015). [Cognitive aid for emergencies in the OR--AMC bundle helps ensure that no steps are left out].. PubMed. 159. A8325–A8325. 3 indexed citations
3.
Fräßdorf, Jan, Ragnar Huhn, Nina C. Weber, et al.. (2010). Sevoflurane-induced Preconditioning. Anesthesiology. 113(6). 1289–1298. 34 indexed citations
4.
Fräßdorf, Jan, Andreas Borowski, D. Ebel, et al.. (2009). Impact of preconditioning protocol on anesthetic-induced cardioprotection in patients having coronary artery bypass surgery. Journal of Thoracic and Cardiovascular Surgery. 137(6). 1436–1442.e2. 59 indexed citations
5.
Fräßdorf, Jan, Stefan De Hert, & W. Schlack. (2009). Anaesthesia and myocardial ischaemia/reperfusion injury. British Journal of Anaesthesia. 103(1). 89–98. 61 indexed citations
6.
Huhn, Ragnar, André P. Heinen, Nina C. Weber, et al.. (2009). Helium-induced late preconditioning in the rat heart in vivo. British Journal of Anaesthesia. 102(5). 614–619. 36 indexed citations
7.
Heinen, André P., Ragnar Huhn, Kirsten M. Smeele, et al.. (2008). Helium-induced Preconditioning in Young and Old Rat Heart. Anesthesiology. 109(5). 830–836. 80 indexed citations
8.
Weber, Nina C., et al.. (2008). Xenon Induces Late Cardiac Preconditioning In Vivo: A Role for Cyclooxygenase 2?. Anesthesia & Analgesia. 107(6). 1807–1813. 38 indexed citations
9.
Obal, Detlef, et al.. (2006). Post-conditioning by a short administration of desflurane reduced renal reperfusion injury after differing of ischaemia times in rats. British Journal of Anaesthesia. 97(6). 783–791. 21 indexed citations
10.
Weber, Nina C., et al.. (2006). Xenon preconditioning differently regulates p44/42 MAPK (ERK 1/2) and p46/54 MAPK (JNK 1/2 and 3) in vivo †. British Journal of Anaesthesia. 97(3). 298–306. 49 indexed citations
11.
Weber, Nina C., et al.. (2005). Effects of Nitrous Oxide on the Rat Heart In Vivo. Anesthesiology. 103(6). 1174–1182. 1 indexed citations
12.
Weber, Nina C., Octavian Toma, Saqib Ejaz Awan, et al.. (2005). Effects of Nitrous Oxide on the Rat Heart In Vivo . Anesthesiology. 103(6). 1174–1182. 22 indexed citations
13.
Ebel, D., Silke Redler, Benedikt Preckel, W. Schlack, & V. Thämer. (2005). Moderate Glucose Deprivation Preconditions Myocardium Against Infarction. Hormone and Metabolic Research. 37(8). 516–520. 6 indexed citations
14.
Weber, Nina C., et al.. (2005). Mechanisms of xenon‐ and isoflurane‐induced preconditioning – a potential link to the cytoskeleton via the MAPKAPK‐2/HSP27 pathway. British Journal of Pharmacology. 146(3). 445–455. 64 indexed citations
15.
Preckel, Benedikt & W. Schlack. (2005). Inert gases as the future inhalational anaesthetics?. Best Practice & Research Clinical Anaesthesiology. 19(3). 365–379. 17 indexed citations
16.
Preckel, Benedikt, et al.. (2002). The Direct Myocardial Effects of Xenon in the Dog Heart In Vivo. Anesthesia & Analgesia. 94(3). 545–551. 30 indexed citations
17.
Ebel, D., et al.. (2002). Cardioprotection by sevoflurane against reperfusion injury after cardioplegic arrest in the rat is independent of three types of cardioplegia. British Journal of Anaesthesia. 88(6). 828–835. 19 indexed citations
18.
Preckel, Benedikt, et al.. (2001). Can isoflurane mimic ischaemic preconditioning in isolated rat heart?. British Journal of Anaesthesia. 86(2). 269–271. 10 indexed citations
19.
Preckel, Benedikt, W. Schlack, & V. Thämer. (1998). Enflurane and Isoflurane, but Not Halothane, Protect Against Myocardial Reperfusion Injury after Cardioplegic Arrest with HTK Solution in the Isolated Rat Heart. Anesthesia & Analgesia. 87(6). 1221–1227. 14 indexed citations
20.
Preckel, Benedikt, et al.. (1998). Effect of Acidotic Blood Reperfusion on Reperfusion Injury After Coronary Artery Occlusion in the Dog Heart. Journal of Cardiovascular Pharmacology. 31(2). 179–186. 38 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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