Michael Gläser

3.2k citations
68 papers · 2.7k · h-index 28

Impact in

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

Papers in

    • Lipid Membrane Structure and Behavior 23
    • Protein Structure and Dynamics 8
    • Erythrocyte Function and Pathophysiology 7

Michael Gläser

66 papers receiving 2.5k citations

Peers

Michael Gläser
Comparison fields: 5 of 140
  • Biochemistry 237
  • Molecular Biology 1.8k
  • Behavioral Neuroscience 83
  • Developmental Neuroscience 90
  • Cell Biology 347
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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 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996195
2 1994168
3 1998150
4 1975138
5 1994127
6 1987119
7 1977102
8 199398
9 197892
10 197090
11 200084
12 197484
13 200280
14 197164
15 199362
16 197862
17 199561
18 199556
19 199155
20 197955

About Michael Gläser

Michael Gläser is a scholar working on Molecular Biology, Physiology, Spectroscopy, Cellular and Molecular Neuroscience and Statistics, Probability and Uncertainty, having authored 68 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (23 papers), Protein Structure and Dynamics (8 papers), Scientific Measurement and Uncertainty Evaluation (7 papers), Erythrocyte Function and Pathophysiology (7 papers), Enzyme Structure and Function (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Molecular Sensors and Ion Detection (5 papers) and Radioactive Decay and Measurement Techniques (5 papers). The work is most often cited by research in Biochemistry (237 citations), Molecular Biology (1.8k citations), Behavioral Neuroscience (83 citations), Developmental Neuroscience (90 citations) and Cell Biology (347 citations). Michael Gläser has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Ruth Welti, Jonah R. Chan, P. Roy Vagelos, Karen A. Ferguson, Li Yang, Peng Liang, Enrico Gratton, Benjamin Ng, William H. Bayer and Stephen Wanaski. Their work appears in journals such as Biochemistry, Proceedings of the National Academy of Sciences, Proteins Structure Function and Bioinformatics, Metrologia 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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