Alexander Jünger

749 total citations
48 papers, 512 citations indexed

About

Alexander Jünger is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Anesthesiology and Pain Medicine. According to data from OpenAlex, Alexander Jünger has authored 48 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Surgery, 25 papers in Cardiology and Cardiovascular Medicine and 7 papers in Anesthesiology and Pain Medicine. Recurrent topics in Alexander Jünger's work include Cardiac, Anesthesia and Surgical Outcomes (23 papers), Healthcare Technology and Patient Monitoring (11 papers) and Hemodynamic Monitoring and Therapy (10 papers). Alexander Jünger is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (23 papers), Healthcare Technology and Patient Monitoring (11 papers) and Hemodynamic Monitoring and Therapy (10 papers). Alexander Jünger collaborates with scholars based in Germany, United States and Canada. Alexander Jünger's co-authors include Matthew A. Benson, G. Hempelmann, B. Hartmann, J. Klasen, L. Quinzio, Rainer Röhrig, A. Michel, Andreas Jost, G. Hempelmann and Anne Banzhaf and has published in prestigious journals such as British Journal of Anaesthesia, Anaesthesia and European Journal of Anaesthesiology.

In The Last Decade

Alexander Jünger

44 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Jünger Germany 14 340 267 95 79 61 48 512
Andreas Jost Germany 15 543 1.6× 433 1.6× 88 0.9× 108 1.4× 48 0.8× 25 691
B. Schwilk Germany 12 213 0.6× 225 0.8× 23 0.2× 100 1.3× 76 1.2× 30 479
Hugh Flanagan United States 13 340 1.0× 180 0.7× 34 0.4× 113 1.4× 139 2.3× 26 535
Karl A. Poterack United States 11 186 0.5× 69 0.3× 70 0.7× 48 0.6× 26 0.4× 48 457
Nanette M. Schwann United States 11 200 0.6× 244 0.9× 25 0.3× 34 0.4× 37 0.6× 19 412
C. L. G. Rutten Netherlands 10 220 0.6× 287 1.1× 10 0.1× 60 0.8× 65 1.1× 13 364
William D. Driscoll United States 8 130 0.4× 103 0.4× 92 1.0× 11 0.1× 80 1.3× 15 252
Arieh Eden Israel 13 199 0.6× 159 0.6× 16 0.2× 70 0.9× 36 0.6× 32 522
P. Mackay Australia 8 171 0.5× 255 1.0× 29 0.3× 164 2.1× 256 4.2× 16 522
Ibrahim Zabani Saudi Arabia 7 101 0.3× 85 0.3× 42 0.4× 92 1.2× 10 0.2× 13 311

Countries citing papers authored by Alexander Jünger

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Jünger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Jünger

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Jünger. A scholar is included among the top collaborators of Alexander Jünger 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 Alexander Jünger. Alexander Jünger 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.
Sörgel, F., Martina Kinzig, Jürgen B. Bulitta, et al.. (2016). Pharmakokinetik und Pharmakodynamik von Antibiotika in der Intensivmedizin. Medizinische Klinik - Intensivmedizin und Notfallmedizin. 112(1). 11–23. 5 indexed citations
2.
Hartmann, B., Reyad S. Obaid, Dörthe Brüggmann, et al.. (2009). Hypotension after spinal anesthesia for cesarean section: identification of risk factors using an anesthesia information management system. Journal of Clinical Monitoring and Computing. 23(2). 85–92. 46 indexed citations
3.
Brammen, Dominik, et al.. (2008). Anästhesiologische Nebendiagnose „schwierige Intubation“. Der Anaesthesist. 57(12). 1161–1166.
4.
Hartmann, B., et al.. (2008). Intensivmedizinische Scoringsysteme zur täglichen Anwendung. Der Anaesthesist. 57(2). 189–195. 2 indexed citations
5.
Hartmann, B., Andreas Jost, Rainer Röhrig, et al.. (2007). Examining the influence of maternal bradycardia on neonatal outcome using automated data collection. International Journal of Obstetric Anesthesia. 16(3). 208–213. 4 indexed citations
6.
Jünger, Alexander, et al.. (2007). Impact of Different Sampling Strategies on Score Results of the Nine Equivalents of Nursing Manpower Use Score (NEMS). Methods of Information in Medicine. 46(4). 410–415. 8 indexed citations
7.
Hartmann, B., Alexander Jünger, & J. Klasen. (2005). Anästhesie und Schlaf-Apnoe-Syndrom. Der Anaesthesist. 54(7). 684–693. 9 indexed citations
8.
9.
Jünger, Alexander, J. Klasen, B. Hartmann, et al.. (2002). Shorter discharge time after regional or intravenous anaesthesia in combination with laryngeal mask airway compared with balanced anaesthesia with endotracheal intubation. European Journal of Anaesthesiology. 19(2). 119–119. 15 indexed citations
10.
Jünger, Alexander, J. Engel, L. Quinzio, et al.. (2002). Risikoindizes, Scoring-Systeme und prognostische Modelle in der Anästhesie und Intensivmedizin. Teil I: Anästhesie. AINS - Anästhesiologie · Intensivmedizin · Notfallmedizin · Schmerztherapie. 37(9). 520–527. 13 indexed citations
11.
Jünger, Alexander, et al.. (2002). Risikoindizes, Scoring-Systeme und prognostische Modelle in der Anästhesie und Intensivmedizin. AINS - Anästhesiologie · Intensivmedizin · Notfallmedizin · Schmerztherapie. 37(10). 591–599. 10 indexed citations
12.
13.
Jünger, Alexander & G. Hempelmann. (2002). Data Management in Anesthesia and Intensive Care Medicine. AINS - Anästhesiologie · Intensivmedizin · Notfallmedizin · Schmerztherapie. 37(8). 475–476. 2 indexed citations
14.
Jünger, Alexander, et al.. (2001). Factors determining length of stay of surgical day-case patients. European Journal of Anaesthesiology. 18(5). 314–321. 76 indexed citations
15.
Quinzio, L., Alexander Jünger, Matthew A. Benson, et al.. (2000). . Journal of Clinical Monitoring and Computing. 16(8). 609–618. 1 indexed citations
16.
Benson, Matthew A., Alexander Jünger, L. Quinzio, et al.. (2000). Einsatz eines Anästhesie-Informations-Management-Systems (AIMS) in einer Operativen Tagesklinik. Der Anaesthesist. 49(9). 810–815. 2 indexed citations
17.
Jünger, Alexander, Matthew A. Benson, L. Quinzio, et al.. (1999). Qualitätsdokumentation mit einem Anästhesie-Informations-Management-System (AIMS). Der Anaesthesist. 48(8). 523–532. 5 indexed citations
18.
19.
Jünger, Alexander, et al.. (1998). Erfahrungsbericht über vier Jahre externe Qualitätssicherung in der Anästhesiologie in Hamburg. AINS - Anästhesiologie · Intensivmedizin · Notfallmedizin · Schmerztherapie. 33(7). 417–424. 6 indexed citations
20.
Jünger, Alexander, et al.. (1998). Kontinuierliche Verbesserung in der anästhesiologischen Qualitätsdokumentation. AINS - Anästhesiologie · Intensivmedizin · Notfallmedizin · Schmerztherapie. 33(11). 715–721. 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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