Michael Gläser

3.2k citations
74 papers · 2.9k · h-index 29

Impact in

    • Lipid metabolism and biosynthesis
    • Lipid Membrane Structure and Behavior
    • Protein Structure and Dynamics

Papers in

    • Lipid Membrane Structure and Behavior 24
    • Protein Structure and Dynamics 8
    • Erythrocyte Function and Pathophysiology 8

Michael Gläser

73 papers receiving 2.6k citations

Peers

Michael Gläser
Comparison fields: 5 of 137
  • Biochemistry 265
  • Molecular Biology 1.9k
  • Behavioral Neuroscience 90
  • Developmental Neuroscience 94
  • Cell Biology 366
Replace Peter McPhie with:
Peter McPhie United States
Franca Podo Italy
Jacques Haiech France
Aleksey Lomakin United States
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Slobodan Macura United States
Martin Jakab Austria
Mitchell Lewis United States
Flemming M. Poulsen Denmark
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Citations per field
00.5×7.5×
Peter McPhie · 1×
Citations per year

Countries citing papers authored by Michael Gläser

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gläser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Gläser, 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 Gläser Line = papers co-authored together Michael Gläser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996203
2 1994182
3 1998161
4 1975144
5 1994130
6 1987123
7 1970120
8 1993108
9 1977107
10 1978100
11 197498
12 200090
13 200282
14 197174
15 197867
16 199566
17 199365
18 199560
19 199158
20 200257

About Michael Gläser

Michael Gläser is a scholar working on Molecular Biology, Physiology, Spectroscopy, Statistics, Probability and Uncertainty and Cellular and Molecular Neuroscience, having authored 74 papers that have together received 2.9k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (24 papers), Erythrocyte Function and Pathophysiology (8 papers), Protein Structure and Dynamics (8 papers), Scientific Measurement and Uncertainty Evaluation (8 papers), Enzyme Structure and Function (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Molecular Sensors and Ion Detection (5 papers) and Virology and Viral Diseases (5 papers). The work is most often cited by research in Biochemistry (265 citations), Molecular Biology (1.9k citations), Behavioral Neuroscience (90 citations), Developmental Neuroscience (94 citations) and Cell Biology (366 citations). Michael Gläser has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Ruth Welti, P. Roy Vagelos, Jonah R. Chan, Karen A. Ferguson, Li Yang, Peng Liang, Enrico Gratton, Benjamin Ng, Suke Wang and William H. Bayer. Their work appears in journals such as Biochemistry, Proceedings of the National Academy of Sciences, Metrologia, Proteins Structure Function and Bioinformatics and Measurement Science and Technology.

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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