Michael Sonntagbauer

2.0k total citations
8 papers, 63 citations indexed

About

Michael Sonntagbauer is a scholar working on Infectious Diseases, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael Sonntagbauer has authored 8 papers receiving a total of 63 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Surgery and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael Sonntagbauer's work include COVID-19 Clinical Research Studies (3 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Cardiac Structural Anomalies and Repair (2 papers). Michael Sonntagbauer is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Cardiac Structural Anomalies and Repair (2 papers). Michael Sonntagbauer collaborates with scholars based in Germany. Michael Sonntagbauer's co-authors include Stefan Kluge, Yascha Khodamoradi, Katharina Esser‐Nobis, Thorsten J. Maier, C. Micha Nübling, Christoph Stephan, Kai Zacharowski, Carla Bellinghausen, Vera Mahler and Heinrich Scheiblauer and has published in prestigious journals such as Critical Care, Shock and Journal of Clinical Virology.

In The Last Decade

Michael Sonntagbauer

7 papers receiving 62 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Sonntagbauer Germany	5	34	9	9	8	8	8	63
Muhammad Gul United States	5	40 1.2×	7 0.8×		18 2.3×	4 0.5×	12	81
Trine Kåsine Norway	4	20 0.6×	27 3.0×	2 0.2×	13 1.6×	10 1.3×	9	76
Anthony Chauvin France	5	23 0.7×	5 0.6×		8 1.0×	7 0.9×	14	61
Andrew R. Weckstein United States	5	76 2.2×	11 1.2×		23 2.9×	4 0.5×	7	110
Noémie Zucman France	5	64 1.9×	7 0.8×		15 1.9×	20 2.5×	10	124
O. А. Litinskaya Russia	6	14 0.4×	11 1.2×	1 0.1×	4 0.5×	4 0.5×	22	66
Güle Çınar Türkiye	5	37 1.1×	8 0.9×		8 1.0×	10 1.3×	28	77
Mengjia Kang United States	3	29 0.9×	5 0.6×	2 0.2×	9 1.1×	7 0.9×	13	120
François Dhelft France	5	20 0.6×	3 0.3×	2 0.2×	9 1.1×	9 1.1×	14	57
Tracie C. Walker United States	4	22 0.6×	17 1.9×		16 2.0×	9 1.1×	5	49

Countries citing papers authored by Michael Sonntagbauer

Since Specialization

Citations

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

Fields of papers citing papers by Michael Sonntagbauer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Sonntagbauer

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Sonntagbauer. A scholar is included among the top collaborators of Michael Sonntagbauer 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 Sonntagbauer. Michael Sonntagbauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Sonntagbauer, Michael, et al.. (2023). Künstliche Intelligenz: Wie werden ChatGPT und andere KI-Anwendungen unseren ärztlichen Alltag verändern?. Medizinische Klinik - Intensivmedizin und Notfallmedizin. 118(5). 366–371. 14 indexed citations

Sonntagbauer, Michael, et al.. (2023). Stellenwert von Natural Language Processing und chatbasierten Generative Language Models. Medizinische Klinik - Intensivmedizin und Notfallmedizin. 119(3). 181–188.

Flinspach, Armin Niklas, et al.. (2022). Severe COVID-19-associated myocarditis with cardiogenic shock – management with assist devices – a case report & review. BMC Anesthesiology. 22(1). 385–385. 5 indexed citations

Neb, Holger, Steven R. Talbot, Michael Sonntagbauer, et al.. (2022). HIGH HEPARANASE LEVEL IN SURVIVORS OF COVID-19 — INDICATOR OF VASCULAR AND PULMONARY RECOVERY?. Shock. 58(6). 514–523. 3 indexed citations

Scheiblauer, Heinrich, C. Micha Nübling, Timo Wolf, et al.. (2021). Antibody response to SARS-CoV-2 for more than one year − kinetics and persistence of detection are predominantly determined by avidity progression and test design. Journal of Clinical Virology. 146. 105052–105052. 28 indexed citations

Adam, Elisabeth, et al.. (2020). Fibrin-derived peptide Bβ15-42 (FX06) as salvage treatment in critically ill patients with COVID-19-associated acute respiratory distress syndrome. Critical Care. 24(1). 574–574. 7 indexed citations

Raimann, Florian J., Lukas Jennewein, Michael Sonntagbauer, et al.. (2019). Influence of the WOMAN trial on national wide standard operating procedures for treatment of postpartum hemorrhage. Journal of Gynecology Obstetrics and Human Reproduction. 48(4). 269–273. 2 indexed citations

Sonntagbauer, Michael, Alexander Koch, Ulrich Strouhal, Kai Zacharowski, & Christian Weber. (2018). Catecholamine crisis during induction of general anesthesia. Der Anaesthesist. 67(3). 209–215. 4 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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