Daniel Dirkmann

3.2k total citations
54 papers, 2.2k citations indexed

About

Daniel Dirkmann is a scholar working on Critical Care and Intensive Care Medicine, Biochemistry and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel Dirkmann has authored 54 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Critical Care and Intensive Care Medicine, 18 papers in Biochemistry and 17 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel Dirkmann's work include Trauma, Hemostasis, Coagulopathy, Resuscitation (26 papers), Blood transfusion and management (18 papers) and Venous Thromboembolism Diagnosis and Management (10 papers). Daniel Dirkmann is often cited by papers focused on Trauma, Hemostasis, Coagulopathy, Resuscitation (26 papers), Blood transfusion and management (18 papers) and Venous Thromboembolism Diagnosis and Management (10 papers). Daniel Dirkmann collaborates with scholars based in Germany, United States and Switzerland. Daniel Dirkmann's co-authors include Klaus Görlinger, Alexander Hanke, Jürgen Peters, Fuat H. Saner, Eva Kottenberg, Heinz Jakob, Matthias Hartmann, Matthias Thielmann, Markus Kamler and Jürgen Peters and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Daniel Dirkmann

53 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Dirkmann Germany 27 1.4k 785 598 420 414 54 2.2k
Michael P. Chapman United States 29 2.2k 1.6× 690 0.9× 839 1.4× 1.8k 4.2× 288 0.7× 59 3.0k
Linda C. Stehling United States 18 713 0.5× 1.2k 1.5× 442 0.7× 245 0.6× 384 0.9× 46 2.0k
Daniela Filipescu Romania 12 1.9k 1.4× 607 0.8× 911 1.5× 1.6k 3.7× 350 0.8× 39 2.9k
Juliano Pinheiro de Almeida Brazil 23 699 0.5× 873 1.1× 642 1.1× 325 0.8× 255 0.6× 65 2.1k
G Janvier France 23 557 0.4× 294 0.4× 770 1.3× 183 0.4× 170 0.4× 114 1.8k
Anne Kuitunen Finland 22 840 0.6× 269 0.3× 615 1.0× 418 1.0× 206 0.5× 54 1.9k
Raili Suojaranta-Ylinen Finland 22 670 0.5× 185 0.2× 675 1.1× 412 1.0× 159 0.4× 61 1.9k
S. Kozek Austria 10 888 0.7× 170 0.2× 422 0.7× 323 0.8× 141 0.3× 16 1.5k
Andrew D. Rosenberg United States 16 359 0.3× 428 0.5× 823 1.4× 156 0.4× 131 0.3× 38 1.5k
Oliver Karam United States 23 460 0.3× 527 0.7× 302 0.5× 405 1.0× 148 0.4× 105 1.6k

Countries citing papers authored by Daniel Dirkmann

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Dirkmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Dirkmann

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Dirkmann. A scholar is included among the top collaborators of Daniel Dirkmann 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 Daniel Dirkmann. Daniel Dirkmann 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.
Hussmann, Bjoern, René Aigner, Christopher Bliemel, et al.. (2023). Liberal intraoperative fluid management leads to increased complication rates in geriatric patients with hip fracture. European Journal of Trauma and Emergency Surgery. 49(6). 2485–2493. 2 indexed citations
6.
Hartmann, Matthias, et al.. (2019). Safety of coagulation factor concentrates guided by ROTEM™-analyses in liver transplantation: results from 372 procedures. BMC Anesthesiology. 19(1). 97–97. 31 indexed citations
7.
Gabry, Mohamed El, Sharaf-Eldin Shehada, Arjang Ruhparwar, et al.. (2019). Hedinger syndrome: first experience and two-year follow-up in patients with carcinoid heart disease. Journal of Thoracic Disease. 11(8). 3234–3240. 6 indexed citations
8.
Al‐Rashid, Fadi, Raluca‐Ileana Mincu, Matthias Totzeck, et al.. (2018). Impact of baseline left ventricular ejection fraction on outcome after transfemoral transcatheter aortic valve implantation in patients with and without low‐gradient aortic stenosis. Echocardiography. 36(1). 28–37. 2 indexed citations
10.
Dirkmann, Daniel, Dmitri Bezinover, Matthias Hartmann, et al.. (2017). Assessment of standard laboratory tests and rotational thromboelastometry for the prediction of postoperative bleeding in liver transplantation. British Journal of Anaesthesia. 119(3). 402–410. 62 indexed citations
11.
12.
Dirkmann, Daniel, Jürgen Treckmann, Andreas Paul, et al.. (2014). Coagulation management with factor concentrates in liver transplantation: a single‐center experience. Transfusion. 54(10pt2). 2760–2768. 99 indexed citations
13.
Dirkmann, Daniel, et al.. (2013). Recombinant tissue-type plasminogen activator–evoked hyperfibrinolysis is enhanced by acidosis and inhibited by hypothermia but still can be blocked by tranexamic acid. The Journal of Trauma: Injury, Infection, and Critical Care. 74(2). 482–488. 28 indexed citations
14.
Görlinger, Klaus, Daniel Dirkmann, Cristina Solomon, & Alexander Hanke. (2012). Fast interpretation of thromboelastometry in non-cardiac surgery: reliability in patients with hypo-, normo-, and hypercoagulability. British Journal of Anaesthesia. 110(2). 222–230. 117 indexed citations
15.
Hanke, Alexander, Ulf Herold, Daniel Dirkmann, et al.. (2012). Thromboelastometry Based Early Goal-Directed Coagulation Management Reduces Blood Transfusion Requirements, Adverse Events, and Costs in Acute Type A Aortic Dissection: A Pilot Study. Transfusion Medicine and Hemotherapy. 39(2). 121–128. 38 indexed citations
16.
Görlinger, Klaus, Lars Bergmann, & Daniel Dirkmann. (2012). Coagulation management in patients undergoing mechanical circulatory support. Best Practice & Research Clinical Anaesthesiology. 26(2). 179–198. 58 indexed citations
17.
Lehmann, Nils, Girish P. Joshi, Daniel Dirkmann, et al.. (2010). Development and longitudinal validation of the overall benefit of analgesia score: a simple multi-dimensional quality assessment instrument. British Journal of Anaesthesia. 105(4). 511–518. 64 indexed citations
18.
Dirkmann, Daniel, Alexander Hanke, Klaus Görlinger, & Jürgen Peters. (2008). Hypothermia and Acidosis Synergistically Impair Coagulation in Human Whole Blood. Anesthesia & Analgesia. 106(6). 1627–1632. 123 indexed citations
19.
Brandts, Bodo, et al.. (2004). Propranolol inhibits IK(Ado) by competetive A1-receptor interaction. Zeitschrift für Kardiologie. 93(7). 533–539. 3 indexed citations
20.
Brandts, Bodo, et al.. (2003). A new perspective on the pharmacological treatment of vagal induced atrial fibrillation: Combined inhibition of muscarnic potassium current and IKr. Journal of the American College of Cardiology. 41(6). 312–313. 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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