Michael Beil

50 papers receiving 1.3k citations

Peers

Michael Beil
Comparison fields: 5 of 147
  • Health Informatics 48
  • Biophysics 176
  • Aging 53
  • Geriatrics and Gerontology 75
  • Critical Care and Intensive Care Medicine 72
Replace Andreas Schuppert with:
Andreas Schuppert Germany
Nima Aghaeepour United States
Jesper Kers Netherlands
Chiung‐Nien Chen Taiwan
Matthew Li United States
Kuang‐Yu Jen United States
Giulia Russo Italy
Dennis A. Wigle United States
Joanna Polańska Poland
Rima Arnaout United States
Michael Beil relative to Andreas Schuppert Germany Andreas Schuppert's profile →
Citations per field
00.5×4.7×
Andreas Schuppert · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Michael Beil, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Beil Line = papers co-authored together Michael Beil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012170
2 1999167
3 2001102
4 201975
5 200349
6 200247
7 200947
8 200944
9 200343
10 202333
11 200232
12 200529
13 201329
14 202027
15 200226
16 199724
17 200121
18 202320
19 199520
20 202419

About Michael Beil

Michael Beil is a scholar working on Geriatrics and Gerontology, Critical Care and Intensive Care Medicine, Biophysics, Health Informatics and Cell Biology, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Frailty in Older Adults (11 papers), Intensive Care Unit Cognitive Disorders (10 papers), Cellular Mechanics and Interactions (7 papers), AI in cancer detection (6 papers), Palliative Care and End-of-Life Issues (6 papers), Sepsis Diagnosis and Treatment (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers) and Skin and Cellular Biology Research (5 papers). The work is most often cited by research in Health Informatics (48 citations), Biophysics (176 citations), Aging (53 citations), Geriatrics and Gerontology (75 citations) and Critical Care and Intensive Care Medicine (72 citations). Michael Beil has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Jany Vassy, Peter Hufnagl, Théano Irinopoulou, Stephan Wienert, Sigal Sviri, Kai Saeger, Guido Adler, Stéphanie Portet, Thomas M. Gress and Peter Vernon van Heerden. Their work appears in journals such as Annals of Intensive Care, Journal of Microscopy, Cytometry, Journal of Critical Care and Intensive Care Medicine.

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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