Peter Bayer
Impact in
- Virology top 5%
- HIV Research and Treatment
- Molecular Biology top 2%
- Ubiquitin and proteasome pathways
- Signaling Pathways in Disease
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
Papers in
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- Protein Structure and Dynamics 21
- Signaling Pathways in Disease 20
- RNA and protein synthesis mechanisms 13
- Biochemical and Molecular Research 10
- RNA Research and Splicing 8
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- Nanocluster Synthesis and Applications 10
- Enzyme Structure and Function 10
- Co-authors
- Paul Rösch (12 shared papers)Matthias Rabiller (2 shared papers)Kaisa Haglund (1 shared paper)Ivan Đikić (1 shared paper)Rainer Frank (7 shared papers)Jonathan Wolf Mueller (12 shared papers)Rainer Jaenicke (2 shared papers)Susanne Metzger (1 shared paper)
- Journals
- Journal of Molecular Biology (10 papers)Journal of Biological Chemistry (7 papers)ChemBioChem (4 papers)Biochemical and Biophysical Research Communications (4 papers)Trends in Biochemical Sciences (4 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Peter Bayer
106 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 122
- Virology 190
- Molecular Biology 2.5k
- Oncology 638
- Cell Biology 329
- Immunology 392
Countries citing papers authored by Peter Bayer
This map shows the geographic impact of Peter Bayer'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 Bayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Bayer more than expected).
Fields of papers citing papers by Peter Bayer
This network shows the impact of papers produced by Peter Bayer. 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 Bayer. The network helps show where Peter Bayer may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Bayer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 432 | |
| 2 | 1998 | 360 | |
| 3 | 1995 | 264 | |
| 4 | 1995 | 162 | |
| 5 | 1998 | 128 | |
| 6 | 2003 | 111 | |
| 7 | 2004 | 91 | |
| 8 | 2017 | 86 | |
| 9 | 1999 | 65 | |
| 10 | 1993 | 64 | |
| 11 | 1995 | 60 | |
| 12 | 2012 | 59 | |
| 13 | 2006 | 58 | |
| 14 | 2000 | 58 | |
| 15 | 2000 | 57 | |
| 16 | 2019 | 44 | |
| 17 | 2005 | 42 | |
| 18 | 2018 | 37 | |
| 19 | 2006 | 34 | |
| 20 | 2012 | 34 |
About Peter Bayer
Peter Bayer is a scholar working on Molecular Biology, Materials Chemistry, Oncology, Cell Biology and Immunology, having authored 116 papers that have together received 3.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (21 papers), Signaling Pathways in Disease (20 papers), Peptidase Inhibition and Analysis (14 papers), RNA and protein synthesis mechanisms (13 papers), Nanocluster Synthesis and Applications (10 papers), Enzyme Structure and Function (10 papers), Biochemical and Molecular Research (10 papers) and RNA Research and Splicing (8 papers). The work is most often cited by research in Virology (190 citations), Molecular Biology (2.5k citations), Oncology (638 citations), Cell Biology (329 citations) and Immunology (392 citations). Peter Bayer has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Paul Rösch, Matthias Rabiller, Kaisa Haglund, Ivan Đikić, Rainer Frank, Jonathan Wolf Mueller, Rainer Jaenicke, Susanne Metzger, Rohit Mahajan and Frauke Melchior. Their work appears in journals such as Journal of Molecular Biology, Journal of Biological Chemistry, ChemBioChem, Biochemical and Biophysical Research Communications and Trends in Biochemical Sciences.
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.