John Gehrmann
Impact in
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- Nicotinic Acetylcholine Receptors Study
- Receptor Mechanisms and Signaling
- Ion channel regulation and function
- Chemical Synthesis and Analysis
- Biochemical and Structural Characterization
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- Neuroscience and Neuropharmacology Research
Papers in
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- Nicotinic Acetylcholine Receptors Study 8
- Receptor Mechanisms and Signaling 7
- Ion channel regulation and function 3
- Lipid Membrane Structure and Behavior 1
- Protein Structure and Dynamics 1
- Chemical Synthesis and Analysis 1
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- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Paul F. Alewood (8 shared papers)David J. Craik (5 shared papers)Shuhong Hu (2 shared papers)Jennifer L. Martin (2 shared papers)Marion Loughnan (2 shared papers)Richard J. Lewis (2 shared papers)Iain A. Sharpe (1 shared paper)David J. Adams (1 shared paper)
- Journals
- Biochemistry (1 paper)Nature Neuroscience (1 paper)Structure (1 paper)Journal of Molecular Biology (1 paper)Rapid Communications in Mass Spectrometry (1 paper)
- Partner nations
- AustraliaUnited States
In The Last Decade
John Gehrmann
9 papers receiving 630 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 609
- Cellular and Molecular Neuroscience 108
- Microbiology 36
- Pharmacology 49
- Spectroscopy 45
Countries citing papers authored by John Gehrmann
This map shows the geographic impact of John Gehrmann'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 John Gehrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Gehrmann more than expected).
Fields of papers citing papers by John Gehrmann
This network shows the impact of papers produced by John Gehrmann. 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 John Gehrmann. The network helps show where John Gehrmann may publish in the future.
Co-authors
The 24 scholars most cited alongside John Gehrmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 189 | |
| 2 | 1998 | 145 | |
| 3 | 1996 | 75 | |
| 4 | 1997 | 66 | |
| 5 | 1999 | 52 | |
| 6 | 1994 | 42 | |
| 7 | 1996 | 35 | |
| 8 | 1999 | 22 | |
| 9 | 2000 | 17 | |
| 10 | 1962 | 0 |
About John Gehrmann
John Gehrmann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Social Psychology and Spectroscopy, having authored 10 papers that have together received 643 indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (8 papers), Receptor Mechanisms and Signaling (7 papers), Ion channel regulation and function (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Lipid Membrane Structure and Behavior (1 paper), Protein Structure and Dynamics (1 paper), Healthcare and Venom Research (1 paper) and Chemical Synthesis and Analysis (1 paper). The work is most often cited by research in Molecular Biology (609 citations), Cellular and Molecular Neuroscience (108 citations), Microbiology (36 citations), Pharmacology (49 citations) and Spectroscopy (45 citations). John Gehrmann has collaborated with scholars based in Australia and United States. Frequent co-authors include Paul F. Alewood, David J. Craik, Shuhong Hu, Jennifer L. Martin, Marion Loughnan, Richard J. Lewis, Iain A. Sharpe, David J. Adams, Elka Palant and Linda Thomas. Their work appears in journals such as Biochemistry, Nature Neuroscience, Structure, Journal of Molecular Biology and Rapid Communications in Mass Spectrometry.
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.