Marcella C.A. Müller

3.3k total citations · 1 hit paper
59 papers, 1.8k citations indexed

About

Marcella C.A. Müller is a scholar working on Critical Care and Intensive Care Medicine, Epidemiology and Biochemistry. According to data from OpenAlex, Marcella C.A. Müller has authored 59 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Critical Care and Intensive Care Medicine, 19 papers in Epidemiology and 17 papers in Biochemistry. Recurrent topics in Marcella C.A. Müller's work include Trauma, Hemostasis, Coagulopathy, Resuscitation (18 papers), Blood transfusion and management (17 papers) and Sepsis Diagnosis and Treatment (16 papers). Marcella C.A. Müller is often cited by papers focused on Trauma, Hemostasis, Coagulopathy, Resuscitation (18 papers), Blood transfusion and management (17 papers) and Sepsis Diagnosis and Treatment (16 papers). Marcella C.A. Müller collaborates with scholars based in Netherlands, United States and United Kingdom. Marcella C.A. Müller's co-authors include Alexander P. J. Vlaar, Nicole P. Juffermans, Saskia Middeldorp, Michiel Coppens, Loek P. Smits, Merijn Foppen, Nick van Es, Thijs F. van Haaps, Peter I. Bonta and Jarom Heijmans and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Marcella C.A. Müller

54 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Incidence of venous thromboembolism in hospitalized patients with COVID‐19

2020 1.0k citations Saskia Middeldorp, Michiel Coppens et al. Journal of Thrombosis and Haemostasis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcella C.A. Müller Netherlands	15	918	508	451	434	400	59	1.8k
Charles Tacquard France	14	1.5k 1.7×	531 1.0×	553 1.2×	792 1.8×	107 0.3×	52	2.3k
Marianna Politou Greece	17	1.2k 1.3×	123 0.2×	466 1.0×	514 1.2×	80 0.2×	62	2.0k
Laura Green United Kingdom	26	310 0.3×	267 0.5×	84 0.2×	205 0.5×	900 2.3×	90	2.1k
Laurent Sattler France	10	1.7k 1.9×	608 1.2×	623 1.4×	867 2.0×	105 0.3×	39	2.2k
Jean‐François Llitjos France	13	721 0.8×	354 0.7×	359 0.8×	321 0.7×	93 0.2×	31	1.2k
Ian Léonard-Lorant France	9	1.9k 2.1×	730 1.4×	766 1.7×	969 2.2×	153 0.4×	16	2.5k
Tobias Tritschler Switzerland	14	421 0.5×	1.0k 2.0×	235 0.5×	205 0.5×	84 0.2×	61	1.5k
Sue Pavord United Kingdom	28	235 0.3×	422 0.8×	71 0.2×	132 0.3×	277 0.7×	89	3.0k
Milou A.M. Stals Netherlands	9	3.6k 3.9×	1.2k 2.3×	1.3k 3.0×	2.0k 4.7×	286 0.7×	12	4.7k
K.M. Kant Netherlands	5	3.6k 3.9×	1.1k 2.2×	1.3k 2.9×	2.0k 4.7×	290 0.7×	7	4.6k

Countries citing papers authored by Marcella C.A. Müller

Since Specialization

Citations

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

Fields of papers citing papers by Marcella C.A. Müller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcella C.A. Müller. 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 Marcella C.A. Müller. The network helps show where Marcella C.A. Müller may publish in the future.

Co-authorship network of co-authors of Marcella C.A. Müller

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Vlaar, Alexander P. J., et al.. (2025). Ultra-Restrictive Transfusion Thresholds in Critically Ill Adults: Are We Ready for the Next Step?. Transfusion Medicine Reviews. 39(2). 150893–150893. 3 indexed citations

Dionne, Joanna C., Simon Oczkowski, Cécile Aubron, et al.. (2025). Reversal of antithrombotics in the critically ill: An international online survey. Journal of Critical Care. 89. 155101–155101.

Smit, Jasper M., Mark E. Haaksma, Micah L. A. Heldeweg, et al.. (2024). Incidence of catheter-related thrombosis and its association with outcome in critically ill patients: A prospective observational study. Thrombosis Research. 241. 109068–109068. 2 indexed citations

Slim, Marleen A., Rombout B. E. van Amstel, Marcella C.A. Müller, et al.. (2024). Clinical Subtype Trajectories in Sepsis Patients Admitted to the ICU: A Secondary Analysis of an Observational Study. Critical Care Explorations. 6(11). e1176–e1176. 2 indexed citations

Breel, Jennifer S., Jimmy Schenk, Susanne Eberl, et al.. (2024). Comparison of ROTEM® Delta and ROTEM® Sigma transfusion algorithm performance in thoracic aortic surgery: a single-centre prospective observational cohort study. British Journal of Anaesthesia. 134(2). 317–327. 2 indexed citations

Eberl, Susanne, Benedikt Preckel, Patrick Schober, et al.. (2023). Patients with infective endocarditis undergoing cardiac surgery have distinct ROTEM profiles and more bleeding complications compared to patients without infective endocarditis. PLoS ONE. 18(4). e0284329–e0284329. 8 indexed citations

Mourik, Niels van, Lonneke A. van Vught, Bart J. Biemond, et al.. (2023). The predictive value of the modified early warning score for admission to the intensive care unit in patients with a hematologic malignancy – A multicenter observational study. Intensive and Critical Care Nursing. 79. 103486–103486. 3 indexed citations

Slim, Marleen A., Niels van Mourik, Joanna C. Dionne, et al.. (2022). Personalised immunotherapy in sepsis: a scoping review protocol. BMJ Open. 12(5). e060411–e060411. 7 indexed citations

Kotsaki, Antigone, Peter Pickkers, Michael Bauer, et al.. (2022). ImmunoSep (Personalised Immunotherapy in Sepsis) international double-blind, double-dummy, placebo-controlled randomised clinical trial: study protocol. BMJ Open. 12(12). e067251–e067251. 31 indexed citations

10.

Gathier, Celine S., IJsbrand A.J. Zijlstra, Gabriël J.E. Rinkel, et al.. (2022). Blood pressure and the risk of rebleeding and delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage. Journal of Critical Care. 72. 154124–154124. 10 indexed citations

11.

Middeldorp, Saskia, Michiel Coppens, Thijs F. van Haaps, et al.. (2020). Incidence of venous thromboembolism in hospitalized patients with COVID‐19. Journal of Thrombosis and Haemostasis. 18(8). 1995–2002. 1017 indexed citations breakdown →

12.

Dujardin, Romein W. G., Saskia Middeldorp, Alexander P. J. Vlaar, et al.. (2020). Biomarkers for the prediction of venous thromboembolism in critically ill COVID-19 patients. Thrombosis Research. 196. 308–312. 48 indexed citations

13.

Müller, Marcella C.A., et al.. (2019). Thromboelastometry in critically ill patients with disseminated intravascular coagulation. Blood Coagulation & Fibrinolysis. 30(5). 181–187. 19 indexed citations

14.

Müller, Marcella C.A., M. Sesmu Arbous, Bart J. Biemond, et al.. (2018). Time trend analysis of long term outcome of patients with haematological malignancies admitted at dutch intensive care units. British Journal of Haematology. 181(1). 68–76. 11 indexed citations

15.

Müller, Marcella C.A., M. Sesmu Arbous, Bart J. Biemond, et al.. (2018). Long-Term Outcome of Patients With a Hematologic Malignancy and Multiple Organ Failure Admitted at the Intensive Care. Critical Care Medicine. 47(2). e120–e128. 31 indexed citations

16.

Bergh, Walter M. van den, Nuray Kuşadasi, Lambert F. R. Span, et al.. (2015). Characteristics and outcomes of patients with a haematological malignancy admitted to the intensive care unit for a neurological event. Critical Care and Resuscitation. 17(4). 268–273. 3 indexed citations

17.

Müller, Marcella C.A., Marleen Straat, Joost C.M. Meijers, et al.. (2015). Fresh frozen plasma transfusion fails to influence the hemostatic balance in critically ill patients with a coagulopathy. Journal of Thrombosis and Haemostasis. 13(6). 989–997. 47 indexed citations

18.

Müller, Marcella C.A., Daniëlle Van Stein, Jan M. Binnekade, D.J. van Rhenen, & Alexander P. J. Vlaar. (2014). Low‐risk transfusion‐related acute lung injury donor strategies and the impact on the onset of transfusion‐related acute lung injury: a meta‐analysis. Transfusion. 55(1). 164–175. 45 indexed citations

19.

Müller, Marcella C.A., Pieter R. Tuinman, Alexander P. J. Vlaar, et al.. (2014). Contribution of damage-associated molecular patterns to transfusion-related acute lung injury in cardiac surgery.. PubMed. 12(3). 368–75. 14 indexed citations

20.

Tuinman, Pieter R., et al.. (2013). High-Dose Acetylsalicylic Acid Is Superior to Low-Dose as Well as to Clopidogrel in Preventing Lipopolysaccharide-Induced Lung Injury in Mice. Shock. 40(4). 334–338. 20 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.

Explore authors with similar magnitude of impact