Bernd Rinn
Impact in
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- Scientific Computing and Data Management
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
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- Scientific Computing and Data Management 8
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- Single-cell and spatial transcriptomics 1
- Genetics, Bioinformatics, and Biomedical Research 1
- Co-authors
- Chandrasekhar Ramakrishnan (4 shared papers)Lars Malmström (4 shared papers)Andreas Quandt (2 shared papers)Franz‐Josef Elmer (2 shared papers)Caterina Barillari (2 shared papers)Fabian Rudolf (1 shared paper)Diana S. M. Ottoz (1 shared paper)Angela Bauch (2 shared papers)
- Journals
- BMC Bioinformatics (2 papers)The Journal of Cell Biology (1 paper)CPT Pharmacometrics & Systems Pharmacology (1 paper)Bioinformatics (1 paper)Pharmaceutics (1 paper)
- Partner nations
- SwitzerlandSouth AfricaNetherlands
In The Last Decade
Bernd Rinn
14 papers receiving 303 citations
Peers
Comparison fields: 5 of 93
- Information Systems and Management 117
- Biophysics 36
- Structural Biology 5
- Information Systems 75
- Molecular Biology 168
Countries citing papers authored by Bernd Rinn
This map shows the geographic impact of Bernd Rinn'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 Bernd Rinn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernd Rinn more than expected).
Fields of papers citing papers by Bernd Rinn
This network shows the impact of papers produced by Bernd Rinn. 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 Bernd Rinn. The network helps show where Bernd Rinn may publish in the future.
Co-authors
The 25 scholars most cited alongside Bernd Rinn, 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 | 2011 | 98 | |
| 2 | 2016 | 75 | |
| 3 | 2015 | 45 | |
| 4 | 2014 | 31 | |
| 5 | 2020 | 15 | |
| 6 | 2016 | 11 | |
| 7 | 2014 | 10 | |
| 8 | 2021 | 7 | |
| 9 | 2017 | 5 | |
| 10 | 2005 | 5 | |
| 11 | 2010 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2021 | 2 | |
| 14 | FAIRDOM: Reproducible Systems Biology through FAIR Asset Management | 2016 | 1 |
About Bernd Rinn
Bernd Rinn is a scholar working on Information Systems and Management, Molecular Biology, Information Systems, Biophysics and Computer Networks and Communications, having authored 14 papers that have together received 310 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (8 papers), Research Data Management Practices (5 papers), Cell Image Analysis Techniques (4 papers), Single-cell and spatial transcriptomics (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper), Statistical Methods in Clinical Trials (1 paper), Image Processing Techniques and Applications (1 paper) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Information Systems and Management (117 citations), Biophysics (36 citations), Structural Biology (5 citations), Information Systems (75 citations) and Molecular Biology (168 citations). Bernd Rinn has collaborated with scholars based in Switzerland, South Africa and Netherlands. Frequent co-authors include Chandrasekhar Ramakrishnan, Lars Malmström, Andreas Quandt, Franz‐Josef Elmer, Caterina Barillari, Fabian Rudolf, Diana S. M. Ottoz, Angela Bauch, Christian Beisel and Ruedi Aebersold. Their work appears in journals such as BMC Bioinformatics, The Journal of Cell Biology, CPT Pharmacometrics & Systems Pharmacology, Bioinformatics and Pharmaceutics.
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.