Barbara Brauner
Impact in
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- Machine Learning in Bioinformatics
- Gene expression and cancer classification
- Protein Structure and Dynamics
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
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- Bioinformatics and Genomic Networks 8
- Microbial Metabolic Engineering and Bioproduction 3
- Ubiquitin and proteasome pathways 1
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- Advanced Proteomics Techniques and Applications 3
- Co-authors
- Corinna Montrone (10 shared papers)Andreas Ruepp (10 shared papers)Goar Frishman (9 shared papers)Gisela Fobo (9 shared papers)Hans‐Werner Mewes (3 shared papers)Martin Lechner (2 shared papers)Mădălina Giurgiu (2 shared papers)Dmitrij Frishman (2 shared papers)
In The Last Decade
Barbara Brauner
11 papers receiving 2.2k citations
Barbara Brauner's Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 1.9k
- Cancer Research 317
- Computational Theory and Mathematics 292
- Spectroscopy 251
- Cell Biology 180
Countries citing papers authored by Barbara Brauner
This map shows the geographic impact of Barbara Brauner'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 Barbara Brauner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Brauner more than expected).
Fields of papers citing papers by Barbara Brauner
This network shows the impact of papers produced by Barbara Brauner. 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 Barbara Brauner. The network helps show where Barbara Brauner may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Brauner, 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 | CORUM: the comprehensive resource of mammalian protein complexes—2009 Hit paper breakdown → | 2009 | 999 |
| 2 | CORUM: the comprehensive resource of mammalian protein complexes—2019 Hit paper breakdown → | 2018 | 399 |
| 3 | 2004 | 385 | |
| 4 | 2010 | 233 | |
| 5 | 2022 | 110 | |
| 6 | 2009 | 97 | |
| 7 | 2012 | 20 | |
| 8 | 2018 | 12 | |
| 9 | 2016 | 8 | |
| 10 | 2024 | 1 | |
| 11 | 2018 | 1 |
About Barbara Brauner
Barbara Brauner is a scholar working on Molecular Biology, Spectroscopy, Computational Theory and Mathematics, Organic Chemistry and Mechanics of Materials, having authored 11 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Advanced Proteomics Techniques and Applications (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Computational Drug Discovery Methods (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Click Chemistry and Applications (1 paper), Ubiquitin and proteasome pathways (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Molecular Biology (1.9k citations), Cancer Research (317 citations), Computational Theory and Mathematics (292 citations), Spectroscopy (251 citations) and Cell Biology (180 citations). Barbara Brauner has collaborated with scholars based in Germany, Singapore and China. Frequent co-authors include Corinna Montrone, Andreas Ruepp, Goar Frishman, Gisela Fobo, Hans‐Werner Mewes, Martin Lechner, Mădălina Giurgiu, Dmitrij Frishman, Philipp Pagel and Irmtraud Dunger. Their work appears in journals such as Nucleic Acids Research, Genome biology, Orphanet Journal of Rare Diseases, Cell chemical biology and Bioinformatics.
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.