Andreas Bernsel
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Lipid Membrane Structure and Behavior
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
Papers in
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- Machine Learning in Bioinformatics 6
- Lipid Membrane Structure and Behavior 3
- Protein Structure and Dynamics 2
- RNA and protein synthesis mechanisms 1
- Redox biology and oxidative stress 1
- Genomics and Phylogenetic Studies 1
-
- Cellular transport and secretion 2
- Co-authors
- Arne Elofsson (5 shared papers)Håkan Viklund (4 shared papers)Gunnar von HEIJNE (7 shared papers)Aron Hennerdal (2 shared papers)Stephen H. White (2 shared papers)IngMarie Nilsson (2 shared papers)Hyun Kim (1 shared paper)Yoko Sato (1 shared paper)
- Journals
- Nucleic Acids Research (1 paper)Proteins Structure Function and Bioinformatics (1 paper)The Journal of Membrane Biology (1 paper)Trends in Microbiology (1 paper)Protein Science (1 paper)
- Partner nations
- SwedenUnited StatesGermany
In The Last Decade
Andreas Bernsel
11 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 1.3k
- Cell Biology 171
- Genetics 289
- Microbiology 33
- Endocrinology 20
Countries citing papers authored by Andreas Bernsel
This map shows the geographic impact of Andreas Bernsel'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 Andreas Bernsel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Bernsel more than expected).
Fields of papers citing papers by Andreas Bernsel
This network shows the impact of papers produced by Andreas Bernsel. 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 Andreas Bernsel. The network helps show where Andreas Bernsel may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Bernsel, 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 | 2007 | 591 | |
| 2 | 2009 | 459 | |
| 3 | 2008 | 253 | |
| 4 | 2008 | 189 | |
| 5 | 2010 | 101 | |
| 6 | 2009 | 79 | |
| 7 | 2009 | 72 | |
| 8 | 2009 | 49 | |
| 9 | 2005 | 33 | |
| 10 | 2009 | 24 | |
| 11 | 2007 | 9 |
About Andreas Bernsel
Andreas Bernsel is a scholar working on Molecular Biology, Cell Biology, Spectroscopy, Genetics and Nuclear Energy and Engineering, having authored 11 papers that have together received 1.9k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (6 papers), Lipid Membrane Structure and Behavior (3 papers), Protein Structure and Dynamics (2 papers), Cellular transport and secretion (2 papers), RNA and protein synthesis mechanisms (1 paper), Redox biology and oxidative stress (1 paper), Genomics and Phylogenetic Studies (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Cell Biology (171 citations), Genetics (289 citations), Microbiology (33 citations) and Endocrinology (20 citations). Andreas Bernsel has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Arne Elofsson, Håkan Viklund, Gunnar von HEIJNE, Aron Hennerdal, Stephen H. White, IngMarie Nilsson, Hyun Kim, Yoko Sato, Nadja M. Meindl‐Beinker and Tara Hessa. Their work appears in journals such as Nucleic Acids Research, Proteins Structure Function and Bioinformatics, The Journal of Membrane Biology, Trends in Microbiology and Protein Science.
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.