Judith Bernett
Impact in
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- Computational Drug Discovery Methods
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- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Gene Regulatory Network Analysis
- Protein Structure and Dynamics
- Gene expression and cancer classification
- Single-cell and spatial transcriptomics
- Biomedical Text Mining and Ontologies
Papers in
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- Bioinformatics and Genomic Networks 4
- Single-cell and spatial transcriptomics 2
- Protein Structure and Dynamics 2
- Gene expression and cancer classification 1
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- Computational Drug Discovery Methods 2
- Co-authors
- David B. Blumenthal (6 shared papers)Markus List (10 shared papers)Jan Baumbach (3 shared papers)Sepideh Sadegh (2 shared papers)Tim Kacprowski (2 shared papers)Olga Lazareva (3 shared papers)Cristian Nogales (1 shared paper)Anil Wipat (1 shared paper)
- Journals
- Bioinformatics (3 papers)Briefings in Bioinformatics (2 papers)Nature Methods (1 paper)Nature Communications (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- GermanyDenmarkUnited Kingdom
In The Last Decade
Judith Bernett
9 papers receiving 209 citations
Peers
Comparison fields: 5 of 73
- Computational Theory and Mathematics 59
- Molecular Biology 130
- Biophysics 6
- Health Informatics 1
- Pharmacology 5
Countries citing papers authored by Judith Bernett
This map shows the geographic impact of Judith Bernett'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 Judith Bernett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judith Bernett more than expected).
Fields of papers citing papers by Judith Bernett
This network shows the impact of papers produced by Judith Bernett. 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 Judith Bernett. The network helps show where Judith Bernett may publish in the future.
Co-authors
The 25 scholars most cited alongside Judith Bernett, 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 | 2021 | 91 | |
| 2 | 2024 | 43 | |
| 3 | 2024 | 38 | |
| 4 | 2021 | 19 | |
| 5 | 2021 | 8 | |
| 6 | 2024 | 7 | |
| 7 | 2025 | 1 | |
| 8 | 2022 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2023 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 |
About Judith Bernett
Judith Bernett is a scholar working on Molecular Biology, Computational Theory and Mathematics, Biophysics, Artificial Intelligence and Hematology, having authored 12 papers that have together received 209 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Single-cell and spatial transcriptomics (2 papers), Protein Structure and Dynamics (2 papers), Computational Drug Discovery Methods (2 papers), Cell Image Analysis Techniques (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Gene expression and cancer classification (1 paper) and Machine Learning and Data Classification (1 paper). The work is most often cited by research in Computational Theory and Mathematics (59 citations), Molecular Biology (130 citations), Biophysics (6 citations), Health Informatics (1 citation) and Pharmacology (5 citations). Judith Bernett has collaborated with scholars based in Germany, Denmark and United Kingdom. Frequent co-authors include David B. Blumenthal, Markus List, Jan Baumbach, Sepideh Sadegh, Tim Kacprowski, Olga Lazareva, Cristian Nogales, Anil Wipat, Dominik G. Grimm and Elisa Anastasi. Their work appears in journals such as Bioinformatics, Briefings in Bioinformatics, Nature Methods, Nature Communications and Nucleic Acids Research.
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.