Peter Göttig
Impact in
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- S100 Proteins and Annexins
- Lipid Membrane Structure and Behavior
- Ion channel regulation and function
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- Protease and Inhibitor Mechanisms
Papers in
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- S100 Proteins and Annexins 3
- Lipid Membrane Structure and Behavior 2
- Ion channel regulation and function 1
- Protein Structure and Dynamics 1
- Glycosylation and Glycoproteins Research 1
- Chemical Synthesis and Analysis 1
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- Computational Drug Discovery Methods 1
- Co-authors
- Jörg Benz (5 shared papers)Susanne Liemann (5 shared papers)Robert Huber (5 shared papers)Dieter Voges (3 shared papers)Andreas Hofmann (4 shared papers)Pascal Demange (2 shared papers)Robert Berendes (2 shared papers)Alexander Bürger (2 shared papers)
- Journals
- Journal of Molecular Biology (4 papers)European Journal of Medicinal Chemistry (1 paper)Trends in Biochemical Sciences (1 paper)Biological Chemistry (1 paper)
- Partner nations
- Germany
In The Last Decade
Peter Göttig
7 papers receiving 346 citations
Peers
Comparison fields: 5 of 49
- Molecular Biology 335
- Cancer Research 53
- Microbiology 21
- Computational Theory and Mathematics 49
- Neurology 44
Countries citing papers authored by Peter Göttig
This map shows the geographic impact of Peter Göttig'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 Peter Göttig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Göttig more than expected).
Fields of papers citing papers by Peter Göttig
This network shows the impact of papers produced by Peter Göttig. 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 Peter Göttig. The network helps show where Peter Göttig may publish in the future.
Co-authors
The 22 scholars most cited alongside Peter Göttig, 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 | 1996 | 101 | |
| 2 | 1994 | 89 | |
| 3 | 1996 | 88 | |
| 4 | 1996 | 45 | |
| 5 | 1997 | 21 | |
| 6 | 2002 | 11 | |
| 7 | 2007 | 3 |
About Peter Göttig
Peter Göttig is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cell Biology, Physiology and Biotechnology, having authored 7 papers that have together received 358 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (3 papers), Lipid Membrane Structure and Behavior (2 papers), Ion channel regulation and function (1 paper), Computational Drug Discovery Methods (1 paper), Enzyme Structure and Function (1 paper), Protein Structure and Dynamics (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Chemical Synthesis and Analysis (1 paper). The work is most often cited by research in Molecular Biology (335 citations), Cancer Research (53 citations), Microbiology (21 citations), Computational Theory and Mathematics (49 citations) and Neurology (44 citations). Peter Göttig has collaborated with scholars based in Germany. Frequent co-authors include Jörg Benz, Susanne Liemann, Robert Huber, Dieter Voges, Andreas Hofmann, Pascal Demange, Robert Berendes, Alexander Bürger, Robert Huber and Andreas Bergner. Their work appears in journals such as Journal of Molecular Biology, European Journal of Medicinal Chemistry, Trends in Biochemical Sciences and Biological Chemistry.
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.