Gerhard E. Gerber

1.8k citations
40 papers · 1.7k · h-index 20

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 7
    • Peroxisome Proliferator-Activated Receptors 4
    • RNA and protein synthesis mechanisms 4
    • Lipid metabolism and biosynthesis 6

Gerhard E. Gerber

40 papers receiving 1.5k citations

Peers

Gerhard E. Gerber
Comparison fields: 5 of 98
  • Cellular and Molecular Neuroscience 492
  • Biochemistry 173
  • Molecular Biology 1.1k
  • Cell Biology 257
  • Spectroscopy 252
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Peter Zahler Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Gerhard E. Gerber

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard E. Gerber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerhard E. Gerber. 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 Gerhard E. Gerber. The network helps show where Gerhard E. Gerber may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979368
2 1999184
3 1979157
4 197793
5 199188
6 198683
7 198070
8 199568
9 197949
10 197444
11 199336
12 197534
13 199631
14 198831
15 199330
16 198828
17 198827
18 198224
19 199221
20 199520

About Gerhard E. Gerber

Gerhard E. Gerber is a scholar working on Molecular Biology, Biochemistry, Genetics, Cellular and Molecular Neuroscience and Cell Biology, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (7 papers), Lipid metabolism and biosynthesis (6 papers), Photoreceptor and optogenetics research (6 papers), Mass Spectrometry Techniques and Applications (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), RNA and protein synthesis mechanisms (4 papers), Caveolin-1 and cellular processes (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (492 citations), Biochemistry (173 citations), Molecular Biology (1.1k citations), Cell Biology (257 citations) and Spectroscopy (252 citations). Gerhard E. Gerber has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Bernardo L. Trigatti, H. Gobind Khorana, Dev Mangroo, K. Biemann, Robert J. Anderegg, Walter C. Herlihy, C. Gray, Ken‐ichi Nihei, Richard G.W. Anderson and Robert C. Morton. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Biochemistry and Cell Biology, Proceedings of the National Academy of Sciences and Biochemical and Biophysical Research Communications.

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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