Patrick Biston

4.8k total citations · 1 hit paper
36 papers, 1.7k citations indexed

About

Patrick Biston is a scholar working on Epidemiology, Physiology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Patrick Biston has authored 36 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 9 papers in Physiology and 7 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Patrick Biston's work include Sepsis Diagnosis and Treatment (11 papers), Blood properties and coagulation (5 papers) and Erythrocyte Function and Pathophysiology (5 papers). Patrick Biston is often cited by papers focused on Sepsis Diagnosis and Treatment (11 papers), Blood properties and coagulation (5 papers) and Erythrocyte Function and Pathophysiology (5 papers). Patrick Biston collaborates with scholars based in Belgium, Lebanon and Austria. Patrick Biston's co-authors include Jean‐Louis Vincent, Jacques Devriendt, Daniel De Backer, P Defrance, César Aldecoa, Didier Chochrad, Christian Madl, Alexandre Brasseur, Philippe Gottignies and Paul Linkowski and has published in prestigious journals such as New England Journal of Medicine, Hypertension and Archives of Biochemistry and Biophysics.

In The Last Decade

Patrick Biston

33 papers receiving 1.6k citations

Hit Papers

Comparison of Dopamine and Norepinephrine in the Treatmen... 2010 2026 2015 2020 2010 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Biston Belgium 12 635 593 523 511 359 36 1.7k
Jean-Luc Fellahi France 25 338 0.5× 909 1.5× 918 1.8× 471 0.9× 350 1.0× 108 2.1k
Marc O. Maybauer United States 23 644 1.0× 411 0.7× 222 0.4× 660 1.3× 379 1.1× 115 1.9k
Dirk M. Maybauer United States 24 627 1.0× 357 0.6× 224 0.4× 520 1.0× 241 0.7× 61 1.7k
A.N. Laggner Austria 27 336 0.5× 575 1.0× 800 1.5× 586 1.1× 165 0.5× 94 2.0k
Viktoria D. Mayr Austria 23 740 1.2× 551 0.9× 457 0.9× 687 1.3× 140 0.4× 39 2.0k
M. Mathru United States 28 390 0.6× 660 1.1× 498 1.0× 551 1.1× 241 0.7× 255 2.7k
Anthony M.‐H. Ho Hong Kong 19 228 0.4× 1.1k 1.9× 521 1.0× 458 0.9× 217 0.6× 53 2.3k
William J. Greeley United States 27 677 1.1× 896 1.5× 701 1.3× 530 1.0× 559 1.6× 101 2.4k
Werner Pajk Austria 20 825 1.3× 630 1.1× 381 0.7× 463 0.9× 90 0.3× 34 1.7k
Parthak Prodhan United States 28 519 0.8× 861 1.5× 322 0.6× 704 1.4× 883 2.5× 104 2.5k

Countries citing papers authored by Patrick Biston

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Biston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Biston

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Biston. A scholar is included among the top collaborators of Patrick Biston 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 Patrick Biston. Patrick Biston 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.
2.
Biston, Patrick, et al.. (2024). Evolution of the oxyhemoglobin dissociation curve in COVID-19 related ARDS patients. Frontiers in Physiology. 15. 1463775–1463775.
3.
Jacobs, Daniel L., et al.. (2023). Hyperbaric oxygenation improve red blood cell deformability in patients with acute or chronic inflammation. Microvascular Research. 148. 104534–104534. 3 indexed citations
4.
Colet, Jean‐Marie, et al.. (2023). Serum Metabolomic Profiles in Critically Ill Patients with Shock on Admission to the Intensive Care Unit. Metabolites. 13(4). 523–523. 3 indexed citations
5.
Piagnerelli, Michaël, et al.. (2023). Tapia syndrome: an Unusual Complication to Recognize at the Time of the COVID-19 Pandemic. Archives of Clinical and Medical Case Reports. 7(2). 1 indexed citations
6.
Lelubre, Christophe, et al.. (2022). Plasma fibrinogen: An important piece of the COVID-19 ICU delirium puzzle?. Medical Hypotheses. 168. 110953–110953. 3 indexed citations
7.
Piagnerelli, Michaël, Alexandre Fontaine Rousseau, Daniel Monteyne, et al.. (2022). Red Blood Cell Shape and Deformability in Patients With COVID-19 Acute Respiratory Distress Syndrome. Frontiers in Physiology. 13. 849910–849910. 16 indexed citations
8.
Biston, Patrick, et al.. (2021). Effects of red blood cell transfusion on global oxygenation in anemic critically ill patients. Transfusion. 61(4). 1071–1079. 9 indexed citations
9.
Piagnerelli, Michaël, et al.. (2021). Have we improved the management of COVID-19 patients admitted in intensive care between the two waves?. Journal of Critical Care. 65. 84–85. 4 indexed citations
10.
Piagnerelli, Michaël, et al.. (2020). Thromboprophylaxis in Critically Ill Coronavirus Disease 2019 Patients. Critical Care Explorations. 2(8). e0177–e0177. 7 indexed citations
11.
Poelvoorde, Philippe, Mohammad Fayyad‐Kazan, Alexandre Fontaine Rousseau, et al.. (2018). Apoliporotein L3 interferes with endothelial tube formation via regulation of ERK1/2, FAK and Akt signaling pathway. Atherosclerosis. 279. 73–87. 9 indexed citations
12.
Defrance, P, et al.. (2016). Predictive value of the RIFLE urine output criteria on contrast-induced nephropathy in critically ill patients. BMC Nephrology. 17(1). 36–36. 9 indexed citations
13.
Lelubre, Christophe, Pierrick Uzureau, Michaël Piagnerelli, et al.. (2016). Apolipoprotein L Expression Correlates with Neutrophil Cell Death in Critically Ill Patients. Shock. 47(1). 111–118. 7 indexed citations
14.
Chatelle, Camille, C. Chaskis, Pierrette Seeldrayers, et al.. (2015). Is the Nociception Coma Scale-Revised a Useful Clinical Tool for Managing Pain in Patients With Disorders of Consciousness?. Clinical Journal of Pain. 32(4). 321–326. 38 indexed citations
15.
Lelubre, Christophe, et al.. (2013). Interpretation of C-Reactive Protein Concentrations in Critically Ill Patients. BioMed Research International. 2013. 1–11. 98 indexed citations
16.
Biston, Patrick, César Aldecoa, Jacques Devriendt, et al.. (2013). Outcome of elderly patients with circulatory failure. Intensive Care Medicine. 40(1). 50–56. 30 indexed citations
17.
Coussement, Julien, et al.. (2012). Treatment of the Syndrome of Inappropriate Secretion of Antidiuretic Hormone with Urea in Critically Ill Patients. American Journal of Nephrology. 35(3). 265–270. 37 indexed citations
18.
Vincent, Jean‐Louis, Patrick Biston, Jacques Devriendt, Alexandre Brasseur, & Daniel De Backer. (2009). Dopamine versus norepinephrine: is one better?. PubMed. 75(5). 333–7. 14 indexed citations
19.
Boudjeltia, Karim Zouaoui, Michaël Piagnerelli, Patrick Biston, et al.. (2009). Plasma fibrinolysis is related to the degree of organ dysfunction but not to the concentration of von Willebrand Factor in critically ill patients. Thrombosis Journal. 7(1). 10–10. 5 indexed citations
20.
Vooren, Jean‐Paul Van, Claire Farber, Marie‐Luce Delforge, et al.. (1998). Safety of antiprotease-therapy after two episodes of lactic acidosis in an HIV infected patient. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 2 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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