Michael Beil

2.6k total citations
51 papers, 1.3k citations indexed

About

Michael Beil is a scholar working on Molecular Biology, Geriatrics and Gerontology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Michael Beil has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Geriatrics and Gerontology and 10 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Michael Beil's work include Frailty in Older Adults (11 papers), Intensive Care Unit Cognitive Disorders (10 papers) and Cellular Mechanics and Interactions (7 papers). Michael Beil is often cited by papers focused on Frailty in Older Adults (11 papers), Intensive Care Unit Cognitive Disorders (10 papers) and Cellular Mechanics and Interactions (7 papers). Michael Beil collaborates with scholars based in Germany, France and United Kingdom. Michael Beil's co-authors include Jany Vassy, Peter Hufnagl, Théano Irinopoulou, Sigal Sviri, Stephan Wienert, Kai Saeger, Guido Adler, Stéphanie Portet, Thomas M. Gress and Peter Vernon van Heerden and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Langmuir.

In The Last Decade

Michael Beil

50 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Beil Germany 20 370 215 185 176 151 51 1.3k
Isabella Ellinger Austria 21 495 1.3× 412 1.9× 98 0.5× 75 0.4× 77 0.5× 62 1.9k
Johannes Lotz Germany 25 269 0.7× 161 0.7× 195 1.1× 42 0.2× 47 0.3× 70 1.6k
Nima Aghaeepour United States 30 1.2k 3.4× 150 0.7× 202 1.1× 363 2.1× 70 0.5× 119 2.9k
Joan Gil United States 24 434 1.2× 170 0.8× 191 1.0× 107 0.6× 121 0.8× 72 2.5k
R. J. Friedman United States 12 264 0.7× 210 1.0× 102 0.6× 156 0.9× 115 0.8× 22 1.8k
Rima Arnaout United States 15 602 1.6× 252 1.2× 49 0.3× 56 0.3× 335 2.2× 41 2.1k
Nina Linder Finland 24 490 1.3× 743 3.5× 68 0.4× 184 1.0× 31 0.2× 57 2.1k
Raja Sinniah Singapore 25 277 0.7× 56 0.3× 148 0.8× 133 0.8× 32 0.2× 76 1.9k
Manway Liu United States 12 607 1.6× 358 1.7× 191 1.0× 24 0.1× 89 0.6× 14 1.8k
Matthew Li United States 27 548 1.5× 181 0.8× 183 1.0× 30 0.2× 54 0.4× 95 2.6k

Countries citing papers authored by Michael Beil

Since Specialization
Citations

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

Fields of papers citing papers by Michael Beil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Beil

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Beil. A scholar is included among the top collaborators of Michael Beil 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 Michael Beil. Michael Beil 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.
Beil, Michael, Dominique Benoît, & Bertrand Guidet. (2025). Understanding patient preferences: a crucial component of caring for older adults with critical conditions. Intensive Care Medicine. 51(8). 1530–1532.
2.
Jacobs, Jeremy M., Michael Beil, Bertrand Guidet, et al.. (2024). Critical care beyond organ support: the importance of geriatric rehabilitation. Annals of Intensive Care. 14(1). 71–71. 2 indexed citations
3.
Beil, Michael, Rui P. Moreno, Jakub Fronczek, et al.. (2024). Prognosticating the outcome of intensive care in older patients—a narrative review. Annals of Intensive Care. 14(1). 97–97. 6 indexed citations
4.
Wernly, Bernhard, Raphael Romano Bruno, Michael Beil, et al.. (2023). Frailty’s influence on 30-day mortality in old critically ill ICU patients: a bayesian analysis evaluating the clinical frailty scale. Annals of Intensive Care. 13(1). 126–126. 8 indexed citations
5.
Flaatten, Hans, Bertrand Guidet, Michael Beil, et al.. (2023). The role of clinical phenotypes in decisions to limit life-sustaining treatment for very old patients in the ICU. Annals of Intensive Care. 13(1). 40–40. 11 indexed citations
6.
Beil, Michael, Peter Vernon van Heerden, Dylan W. de Lange, et al.. (2023). Contribution of information about acute and geriatric characteristics to decisions about life-sustaining treatment for old patients in intensive care. BMC Medical Informatics and Decision Making. 23(1). 1–1. 20 indexed citations
7.
Mamandipoor, Behrooz, Raphael Romano Bruno, Bernhard Wernly, et al.. (2022). COVID-19 machine learning model predicts outcomes in older patients from various European countries, between pandemic waves, and in a cohort of Asian, African, and American patients. SHILAP Revista de lepidopterología. 1(11). e0000136–e0000136. 4 indexed citations
8.
Flaatten, Hans, Bertrand Guidet, Dylan W. de Lange, et al.. (2021). The importance of revealing data on limitation of life sustaining therapy in critical ill elderly Covid-19 patients. Journal of Critical Care. 67. 147–148. 11 indexed citations
9.
Beil, Michael, Hans Flaatten, Bertrand Guidet, et al.. (2021). The management of multi-morbidity in elderly patients: Ready yet for precision medicine in intensive care?. Critical Care. 25(1). 330–330. 14 indexed citations
10.
Jung, Christian, et al.. (2020). Frailty as a Prognostic Indicator in Intensive Care. Deutsches Ärzteblatt international. 117(40). 668–673. 10 indexed citations
11.
Beil, Michael, et al.. (2019). Ethical considerations about artificial intelligence for prognostication in intensive care. Intensive Care Medicine Experimental. 7(1). 70–70. 75 indexed citations
12.
Wienert, Stephan, Daniel Heim, Manato Kotani, et al.. (2013). CognitionMaster: an object-based image analysis framework. Diagnostic Pathology. 8(1). 34–34. 29 indexed citations
13.
Sailer, M., et al.. (2010). Novel Electron Tomographic Methods to Study the Morphology of Keratin Filament Networks. Microscopy and Microanalysis. 16(4). 462–471. 12 indexed citations
14.
Wienert, Stephan, Michael Beil, Kai Saeger, Peter Hufnagl, & Thomas Schräder. (2009). Integration and acceleration of virtual microscopy as the key to successful implementation into the routine diagnostic process. Diagnostic Pathology. 4(1). 3–3. 44 indexed citations
15.
Beil, Michael, et al.. (2008). Simulating the formation of keratin filament networks by a piecewise-deterministic Markov process. Journal of Theoretical Biology. 256(4). 518–532. 14 indexed citations
16.
Beil, Michael, et al.. (2005). Quantitative analysis of keratin filament networks in scanning electron microscopy images of cancer cells. Journal of Microscopy. 220(2). 84–95. 29 indexed citations
17.
Beil, Michael, et al.. (2005). Fitting of random tessellation models to keratin filament networks. Journal of Theoretical Biology. 241(1). 62–72. 14 indexed citations
18.
Vassy, Jany, Stéphanie Portet, Michael Beil, et al.. (2003). Weightlessness acts on human breast cancer cell line MCF-7. Advances in Space Research. 32(8). 1595–1603. 43 indexed citations
19.
Seufferlein, Thomas, Michael J. Seckl, Esther I. Schwarz, et al.. (2002). Mechanisms of nordihydroguaiaretic acid-induced growth inhibition and apoptosis in human cancer cells. British Journal of Cancer. 86(7). 1188–1196. 47 indexed citations
20.
Pohl, Barbara, Monika Wilda, Ulrike Lacher, et al.. (1999). Expression of the highly conserved RNA binding protein KOC in embryogenesis. Mechanisms of Development. 88(1). 95–99. 167 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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