Max Bell

7.8k total citations
105 papers, 3.0k citations indexed

About

Max Bell is a scholar working on Nephrology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Max Bell has authored 105 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Nephrology, 33 papers in Surgery and 28 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Max Bell's work include Acute Kidney Injury Research (32 papers), Cardiac, Anesthesia and Surgical Outcomes (21 papers) and Sepsis Diagnosis and Treatment (18 papers). Max Bell is often cited by papers focused on Acute Kidney Injury Research (32 papers), Cardiac, Anesthesia and Surgical Outcomes (21 papers) and Sepsis Diagnosis and Treatment (18 papers). Max Bell collaborates with scholars based in Sweden, Australia and United States. Max Bell's co-authors include Claes‐Roland Martling, Johan Mårtensson, Fredrik Granath, Anders Ekbom, Per Venge, Linn Hallqvist, Shengyuan Xu, David B. Konrad, Gabriella Jäderling and Anders Oldner and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Gut.

In The Last Decade

Max Bell

99 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Max Bell Sweden 30 1.2k 851 815 597 511 105 3.0k
Michael Heung United States 29 1.9k 1.5× 833 1.0× 525 0.6× 608 1.0× 495 1.0× 122 3.1k
Kada Klouche France 31 967 0.8× 664 0.8× 690 0.8× 598 1.0× 1.1k 2.1× 132 3.2k
Alexander Kersten Germany 13 916 0.8× 379 0.4× 589 0.7× 271 0.5× 492 1.0× 41 2.3k
Ville Pettilä Finland 28 521 0.4× 553 0.6× 1.0k 1.3× 365 0.6× 994 1.9× 51 2.7k
Xiaoqiang Ding China 9 1.3k 1.1× 1.2k 1.4× 1.5k 1.9× 725 1.2× 627 1.2× 25 4.4k
Shane M. Tibby United Kingdom 32 485 0.4× 1.4k 1.6× 1.3k 1.5× 720 1.2× 458 0.9× 117 3.3k
Donna Goldsmith Australia 26 1.3k 1.1× 768 0.9× 1.3k 1.6× 472 0.8× 1.2k 2.3× 30 3.5k
Colman Taylor Australia 24 581 0.5× 868 1.0× 748 0.9× 356 0.6× 887 1.7× 78 2.7k
Damien du Cheyron France 29 722 0.6× 549 0.6× 712 0.9× 223 0.4× 558 1.1× 82 2.8k
Tiziana Bove Italy 24 767 0.6× 824 1.0× 350 0.4× 705 1.2× 516 1.0× 119 2.8k

Countries citing papers authored by Max Bell

Since Specialization
Citations

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

Fields of papers citing papers by Max Bell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Bell

This figure shows the co-authorship network connecting the top 25 collaborators of Max Bell. A scholar is included among the top collaborators of Max Bell 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 Max Bell. Max Bell 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.
Bell, Max, et al.. (2025). Age-related sex differences in intensive care treatment and outcomes: a nationwide cohort study. British Journal of Anaesthesia. 136(4). 1217–1225.
2.
Österberg, Björn, Sara Falck‐Jones, Sindhu Vangeti, et al.. (2025). Decreased levels and function of dendritic cells in blood and airways predict COVID‐19 severity. Clinical & Translational Immunology. 14(3). e70026–e70026.
3.
Friman, Ola, et al.. (2024). Sex differences in the diagnostic value of optic nerve sheath diameter for assessing intracranial pressure. Scientific Reports. 14(1). 9553–9553. 8 indexed citations
4.
Hallqvist, Linn, et al.. (2024). Advanced chronic kidney disease after surgery and the contribution of acute kidney disease: a national observational cohort study. British Journal of Anaesthesia. 132(6). 1238–1247. 1 indexed citations
5.
Rosa, Silvia De, Stefan J. Schaller, Laurą Galarza, et al.. (2024). Barriers to female leadership in intensive care medicine: insights from an ESICM NEXT & Diversity Monitoring Group Survey. Annals of Intensive Care. 14(1). 126–126. 4 indexed citations
6.
7.
Bezu, Lucillia, Max Bell, Donal J. Buggy, et al.. (2024). Perioperative Immunosuppressive Factors during Cancer Surgery: An Updated Review. Cancers. 16(13). 2304–2304. 11 indexed citations
8.
Bell, Max, Maria‐Pia Hergens, Stefan Fors, et al.. (2023). Individual and neighborhood risk factors of hospital admission and death during the COVID-19 pandemic: a population-based cohort study. BMC Medicine. 21(1). 1–1. 16 indexed citations
9.
Havelka, Aleksandra Mandic, Anders Larsson, Johan Mårtensson, et al.. (2023). Analysis of Calprotectin as an Early Marker of Infections Is Economically Advantageous in Intensive Care-Treated Patients. Biomedicines. 11(8). 2156–2156. 6 indexed citations
10.
Bell, Max, et al.. (2022). XGBoost, A Novel Explainable AI Technique, in the Prediction of Myocardial Infarction: A UK Biobank Cohort Study. Clinical Medicine Insights Cardiology. 16. 1967633195–1967633195. 71 indexed citations
11.
Hedberg, Pontus, John Karlsson Valik, Suzanne D. van der Werff, et al.. (2021). Clinical phenotypes and outcomes of SARS-CoV-2, influenza, RSV and seven other respiratory viruses: a retrospective study using complete hospital data. Thorax. 77(2). 1–10. 35 indexed citations
12.
Bell, Max, et al.. (2021). Renal resistive index is associated with acute kidney injury in COVID-19 patients treated in the intensive care unit. The Ultrasound Journal. 13(1). 3–3. 10 indexed citations
13.
Bell, Max, et al.. (2020). Feasibility of renal resistive index measurements performed by an intermediate and novice sonographer in a volunteer population. The Ultrasound Journal. 12(1). 28–28. 9 indexed citations
14.
Bell, Max, Marcus Broman, Olivier Joannès-Boyau, & Claudio Ronco. (2018). Comparison of the Accuracy of the Novel PrisMax Continuous Renal Replacement Therapy System to the Classic Prismaflex System. Blood Purification. 47(1-3). 166–170. 2 indexed citations
15.
Broman, Marcus, Max Bell, Olivier Joannès-Boyau, & Claudio Ronco. (2018). The Novel PrisMax Continuous Renal Replacement Therapy System in a Multinational, Multicentre Pilot Setting. Blood Purification. 46(3). 220–227. 11 indexed citations
16.
Awad, Akil, et al.. (2018). Creatinine- and Cystatin C-Based Incidence of Chronic Kidney Disease and Acute Kidney Disease in AKI Survivors. Critical Care Research and Practice. 2018. 1–8. 11 indexed citations
17.
Friman, Ola, Max Bell, Therese Djärv, Andreas Hvarfner, & Gabriella Jäderling. (2018). National Early Warning Score vs Rapid Response Team criteria—Prevalence, misclassification, and outcome. Acta Anaesthesiologica Scandinavica. 63(2). 215–221. 11 indexed citations
18.
19.
Jäderling, Gabriella, Paolo Calzavacca, Max Bell, et al.. (2011). The deteriorating ward patient: a Swedish–Australian comparison. Intensive Care Medicine. 37(6). 1000–1005. 30 indexed citations
20.
Bell, Max, et al.. (2007). Continuous renal replacement therapy is associated with less chronic renal failure than intermittent haemodialysis after acute renal failure. Intensive Care Medicine. 33(5). 773–780. 149 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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