Michael Schäfer

10.7k total citations
209 papers, 7.9k citations indexed

About

Michael Schäfer is a scholar working on Physiology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Michael Schäfer has authored 209 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Physiology, 76 papers in Cellular and Molecular Neuroscience and 51 papers in Surgery. Recurrent topics in Michael Schäfer's work include Pain Mechanisms and Treatments (91 papers), Neuropeptides and Animal Physiology (73 papers) and Anesthesia and Pain Management (38 papers). Michael Schäfer is often cited by papers focused on Pain Mechanisms and Treatments (91 papers), Neuropeptides and Animal Physiology (73 papers) and Anesthesia and Pain Management (38 papers). Michael Schäfer collaborates with scholars based in Germany, United States and Austria. Michael Schäfer's co-authors include Christoph Stein, Shaaban A. Mousa, Halina Machelska, Heike L. Rittner, Alexander Brack, Mohammed Shaqura, Dominika Łabuz, Christian Zöllner, Iris Henzi and Bernhard Walder and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Michael Schäfer

194 papers receiving 7.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Schäfer Germany 51 4.0k 3.4k 1.7k 1.4k 1.2k 209 7.9k
Paola Sacerdote Italy 53 2.8k 0.7× 2.7k 0.8× 1.7k 1.0× 1.3k 0.9× 1.2k 1.0× 217 9.8k
Praveen Anand United Kingdom 64 5.8k 1.4× 4.0k 1.2× 2.6k 1.5× 2.0k 1.4× 476 0.4× 237 15.0k
Kenneth Hargreaves United States 69 8.2k 2.0× 5.7k 1.7× 3.5k 2.0× 1.6k 1.1× 778 0.7× 204 19.8k
Alberto E. Panerai Italy 49 2.3k 0.6× 2.7k 0.8× 1.4k 0.8× 686 0.5× 444 0.4× 228 7.7k
Martin Schmelz Germany 77 8.9k 2.2× 2.7k 0.8× 2.2k 1.3× 2.1k 1.5× 2.5k 2.2× 310 18.6k
James N. Campbell United States 51 6.6k 1.6× 2.4k 0.7× 1.5k 0.9× 1.4k 1.0× 1.4k 1.2× 155 10.2k
Richard AC Hughes United Kingdom 66 3.7k 0.9× 9.9k 2.9× 1.5k 0.8× 1.2k 0.8× 540 0.5× 272 19.7k
Gary J. Bennett United States 63 12.9k 3.2× 5.7k 1.7× 3.1k 1.8× 1.5k 1.1× 2.0k 1.7× 130 17.4k
David E. Martin United States 52 2.9k 0.7× 2.8k 0.8× 1.8k 1.1× 568 0.4× 182 0.2× 197 10.3k
Giuseppe Lauria Italy 62 7.4k 1.8× 3.6k 1.1× 2.4k 1.4× 775 0.6× 315 0.3× 250 14.3k

Countries citing papers authored by Michael Schäfer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schäfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Schäfer

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Schäfer. A scholar is included among the top collaborators of Michael Schäfer 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 Michael Schäfer. Michael Schäfer 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.
2.
Schulte, Erika, Frank Petzke, Claudia Spies, et al.. (2022). Self-Reported Practices and Emotions in Prescribing Opioids for Chronic Noncancer Pain: A Cross-Sectional Study of German Physicians. Journal of Clinical Medicine. 11(9). 2506–2506. 2 indexed citations
3.
4.
Schäfer, Michael, Shaaban A. Mousa, Mohammed Shaqura, & Sascha Tafelski. (2019). Hintergrund und aktueller Einsatz von Adjuvanzien für die Regionalanästhesie: Aus der Forschung in die evidenzbasierte Patientenversorgung. Der Anaesthesist. 68(1). 3–14.
5.
Balogh, Mihály, Ferenc Zádor, Zoltán Zádori, et al.. (2019). Efficacy-Based Perspective to Overcome Reduced Opioid Analgesia of Advanced Painful Diabetic Neuropathy in Rats. Frontiers in Pharmacology. 10. 347–347. 22 indexed citations
6.
Morlion, Bart, Michael Schäfer, Neil Betteridge, & Eija Kalso. (2018). Non-invasive patient-controlled analgesia in the management of acute postoperative pain in the hospital setting. Current Medical Research and Opinion. 34(7). 1179–1186. 24 indexed citations
7.
Mousa, Shaaban A., et al.. (2017). Accessibility of axonal G protein coupled mu-opioid receptors requires conceptual changes of axonal membrane targeting for pain modulation. Journal of Controlled Release. 268. 352–363. 15 indexed citations
8.
Osterbrink, Jürgen, Nadja Nestler, Nadine Schüßler, et al.. (2016). [The Münster Charter : Implementation of high-quality pain therapy].. Der Schmerz. 30(4). 358–61.
9.
Treskatsch, Sascha, Aarne Feldheiser, Marco Sifringer, et al.. (2014). A Modified Approach to Induce Predictable Congestive Heart Failure by Volume Overload in Rats. PLoS ONE. 9(1). e87531–e87531. 19 indexed citations
10.
Schäfer, Michael, et al.. (2013). Durchbruchschmerzen und kurz wirksame Opioide. Der Anaesthesist. 62(6). 431–439. 1 indexed citations
11.
Al‐Khrasani, Mahmoud, Pál Riba, Kornél Király, et al.. (2011). The central versus peripheral antinociceptive effects of μ-opioid receptor agonists in the new model of rat visceral pain. Brain Research Bulletin. 87(2-3). 238–243. 29 indexed citations
12.
Wieland, Matthias, Frank Leymann, Michael Schäfer, et al.. (2010). Using Context-aware Workflows for Failure Management in a Smart Factory. 379–384. 13 indexed citations
13.
Kranke, Peter, et al.. (2009). Was lernen wir aus dem Fall Scott Reuben? : Wissenschaftliches Fehlverhalten in der Anästhesiologie (Leitthema). Der Anaesthesist. 58(12). 1199–1209.
14.
Schäfer, Michael & Shaaban A. Mousa. (2009). Opioid therapy and tumor progression. Via Medica Journals. 8(2). 53–56. 9 indexed citations
15.
Schostak, Martin, Michael Schäfer, M. Müller, et al.. (2005). Neues Konzept minimiert die Blutung bei der radikalen retropubischen Prostatektomie. Der Urologe. 44(11). 1332–1336. 1 indexed citations
16.
Schäfer, Michael, et al.. (2005). Anwendungsmöglichkeiten und Stellenwert der peripheren Opioidanalgesie. Der Schmerz. 19(5). 447–455. 2 indexed citations
17.
Walder, Bernhard, Michael Schäfer, Iris Henzi, & Martin R. Tramèr. (2001). Efficacy and safety of patient‐controlled opioid analgesia for acute postoperative pain. Acta Anaesthesiologica Scandinavica. 45(7). 795–804. 330 indexed citations
18.
Likar, Rudolf, Wolfgang Koppert, F.M. Chiari, et al.. (2001). Efficacy of Peripheral Morphine Analgesia in Inflamed, Non-Inflamed and Perineural Tissue of Dental Surgery Patients. Journal of Pain and Symptom Management. 21(4). 330–337. 74 indexed citations
19.
Likar, Rudolf, S. Kapral, Hannes Steinkellner, Christoph Stein, & Michael Schäfer. (1999). Dose-dependency of intra-articular morphine analgesia. British Journal of Anaesthesia. 83(2). 241–244. 55 indexed citations
20.
Likar, Rudolf, et al.. (1998). Peripheral morphine analgesia in dental surgery. Pain. 76(1). 145–150. 82 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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