Kai Zacharowski

20.9k total citations · 2 hit papers
456 papers, 9.5k citations indexed

About

Kai Zacharowski is a scholar working on Critical Care and Intensive Care Medicine, Biochemistry and Surgery. According to data from OpenAlex, Kai Zacharowski has authored 456 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Critical Care and Intensive Care Medicine, 112 papers in Biochemistry and 90 papers in Surgery. Recurrent topics in Kai Zacharowski's work include Blood transfusion and management (111 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (91 papers) and Cardiac Ischemia and Reperfusion (48 papers). Kai Zacharowski is often cited by papers focused on Blood transfusion and management (111 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (91 papers) and Cardiac Ischemia and Reperfusion (48 papers). Kai Zacharowski collaborates with scholars based in Germany, United Kingdom and United States. Kai Zacharowski's co-authors include Patrick Meybohm, Christoph Thiemermann, Christian Weber, Eva Herrmann, Salvatore Cuzzocrea, Patrick Paulus, Nguyen Tran, Carla Jennewein, Prabal K. Chatterjee and Suma Choorapoikayil and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Circulation.

In The Last Decade

Kai Zacharowski

419 papers receiving 9.2k citations

Hit Papers

Point-of-Care Testing 2012 2026 2016 2021 2012 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Zacharowski Germany 51 1.9k 1.7k 1.6k 1.4k 1.3k 456 9.5k
Anirban Banerjee United States 60 3.7k 1.9× 2.0k 1.2× 1.3k 0.8× 1.7k 1.2× 2.7k 2.1× 288 13.2k
Brian G. Harbrecht United States 50 1.9k 1.0× 2.9k 1.7× 389 0.2× 643 0.5× 933 0.7× 209 8.7k
Jacques Duranteau France 53 4.2k 2.2× 3.7k 2.2× 1.1k 0.7× 1.5k 1.0× 977 0.8× 230 11.1k
Jean‐François Pittet United States 58 3.3k 1.7× 1.9k 1.1× 528 0.3× 858 0.6× 3.6k 2.8× 238 14.1k
Hugo Van Aken Germany 61 2.9k 1.5× 6.7k 3.9× 652 0.4× 4.4k 3.1× 1.1k 0.9× 580 16.2k
Brian S. Zuckerbraun United States 52 1.4k 0.7× 1.5k 0.9× 258 0.2× 513 0.4× 3.9k 3.1× 175 9.2k
Jeffrey D. Kerby United States 40 1.8k 0.9× 1.3k 0.7× 736 0.5× 291 0.2× 767 0.6× 156 5.9k
Ryan Zarychanski Canada 47 944 0.5× 1.2k 0.7× 372 0.2× 740 0.5× 544 0.4× 189 6.9k
Bernd Jilma Austria 64 729 0.4× 2.4k 1.4× 404 0.3× 4.8k 3.4× 2.4k 1.8× 562 16.7k
Matthew T.V. Chan Hong Kong 62 1.9k 1.0× 4.6k 2.6× 317 0.2× 3.4k 2.4× 3.2k 2.5× 317 14.5k

Countries citing papers authored by Kai Zacharowski

Since Specialization
Citations

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

Fields of papers citing papers by Kai Zacharowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Zacharowski

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Zacharowski. A scholar is included among the top collaborators of Kai Zacharowski 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 Kai Zacharowski. Kai Zacharowski 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
2.
Choorapoikayil, Suma, et al.. (2025). Reticulocyte hemoglobin content: a new frontier in iron deficiency diagnostics for major surgical patients. BMC Anesthesiology. 25(1). 40–40. 1 indexed citations
4.
Lotz, Gösta, et al.. (2025). Preservation of Platelet Function After Intraoperative Cell Salvage Using the i-SEP Same Device in Cardiac Surgery. Journal of Cardiothoracic and Vascular Anesthesia. 40(1). 38–48.
5.
Neef, Vanessa, Armin Niklas Flinspach, Katrin Eichler, et al.. (2024). Management and Outcome of Women with Placenta Accreta Spectrum and Treatment with Uterine Artery Embolization. Journal of Clinical Medicine. 13(4). 1062–1062. 2 indexed citations
6.
Piekarski, Florian, et al.. (2023). Expectations of Anesthesiology and Intensive Care Professionals Toward Artificial Intelligence: Observational Study. JMIR Formative Research. 7. e43896–e43896. 2 indexed citations
7.
Neef, Vanessa, Suma Choorapoikayil, Patrick Meybohm, et al.. (2022). Patient blood management in the ICU. PubMed. 1(2). e002–e002. 1 indexed citations
8.
Simionato, Greta, Fabia Gamboni, Monika Dzieciątkowska, et al.. (2022). Cross-talk between red blood cells and plasma influences blood flow and omics phenotypes in severe COVID-19. eLife. 11. 22 indexed citations
9.
Schüttler, J., Lorenz A. Kapsner, Susanne A. Seuchter, et al.. (2021). Studies on COVID-19 lethality: Causes and dynamics at German University Hospitals. 62. 244–257. 1 indexed citations
10.
Meybohm, Patrick, et al.. (2019). Health economics of Patient Blood Management: a cost‐benefit analysis based on a meta‐analysis. Vox Sanguinis. 115(2). 182–188. 23 indexed citations
11.
Meybohm, Patrick, Andreas Goetzenich, Sandra Kraemer, et al.. (2018). Remote Ischemic Preconditioning Does Not Affect the Release of Humoral Factors in Propofol-Anesthetized Cardiac Surgery Patients: A Secondary Analysis of the RIPHeart Study. International Journal of Molecular Sciences. 19(4). 1094–1094. 20 indexed citations
12.
Meybohm, Patrick, Bernd Froessler, Lawrence T. Goodnough, et al.. (2017). “Simplified International Recommendations for the Implementation of Patient Blood Management” (SIR4PBM). Perioperative Medicine. 6(1). 5–5. 54 indexed citations
13.
Bingold, Tobias M., Katharina Holzer, Kai Zacharowski, et al.. (2015). Intestinal Fatty Acid Binding Protein: A Sensitive Marker in Abdominal Surgery and Abdominal Infection. Surgical Infections. 16(3). 247–253. 21 indexed citations
14.
Weber, Christian, Klaus Görlinger, Dirk Meininger, et al.. (2012). Point-of-Care Testing. Anesthesiology. 117(3). 531–547. 445 indexed citations breakdown →
15.
Schmidt, Mathias V., Patrick Paulus, A. Kühn, et al.. (2011). Peroxisome Proliferator–activated Receptor γ–induced T Cell Apoptosis Reduces Survival during Polymicrobial Sepsis. American Journal of Respiratory and Critical Care Medicine. 184(1). 64–74. 35 indexed citations
17.
Schalk, Richard, Dirk Meininger, Miriam Ruesseler, et al.. (2011). Emergency Airway Management in Trauma Patients Using Laryngeal Tube Suction. Prehospital Emergency Care. 15(3). 347–350. 19 indexed citations
18.
Meininger, Dirk, et al.. (2010). Vom Winde verweht oder …. Der Anaesthesist. 60(2). 118–124. 3 indexed citations
19.
Zacharowski, Kai. (2008). The role of toll-like receptors. 16. 30 indexed citations
20.
Roesner, Jan P., Peter Petzelbauer, Thomas Iber, et al.. (2008). B beta(15-42) reduces organ damage in a pig model of hemorrhagic shock and reperfusion. Shock. 29. 51–51. 1 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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