Brigitte Ganter
Impact in
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- Platelet Disorders and Treatments
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- Genomics and Chromatin Dynamics
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Ubiquitin and proteasome pathways
Papers in
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- Gene expression and cancer classification 3
- Bioinformatics and Genomic Networks 3
- Cancer-related gene regulation 3
- Molecular Biology Techniques and Applications 2
- Ubiquitin and proteasome pathways 1
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- Computational Drug Discovery Methods 3
- Co-authors
- Joseph S. Lipsick (5 shared papers)Craig N. Giroux (1 shared paper)Ronald D. Snyder (1 shared paper)Donald N. Halbert (1 shared paper)May D. Lee (1 shared paper)Dieter Haas (1 shared paper)Marianne Gamper (1 shared paper)D. Müller (1 shared paper)
- Journals
- Pharmacogenomics (3 papers)Journal of Molecular Biology (2 papers)Advances in cancer research (1 paper)FEBS Letters (1 paper)Blood (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Brigitte Ganter
13 papers receiving 497 citations
Peers
Comparison fields: 5 of 71
- Hematology 58
- Molecular Biology 351
- Computational Theory and Mathematics 66
- Pharmacology 26
- Genetics 26
Countries citing papers authored by Brigitte Ganter
This map shows the geographic impact of Brigitte Ganter'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 Brigitte Ganter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brigitte Ganter more than expected).
Fields of papers citing papers by Brigitte Ganter
This network shows the impact of papers produced by Brigitte Ganter. 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 Brigitte Ganter. The network helps show where Brigitte Ganter may publish in the future.
Co-authors
The 25 scholars most cited alongside Brigitte Ganter, 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 | 2006 | 91 | |
| 2 | 1998 | 82 | |
| 3 | 1992 | 72 | |
| 4 | 1999 | 58 | |
| 5 | Emerging applications of network and pathway analysis in drug discovery and development. | 2008 | 46 |
| 6 | 2013 | 41 | |
| 7 | 2007 | 40 | |
| 8 | 1999 | 25 | |
| 9 | 1993 | 25 | |
| 10 | 1997 | 16 | |
| 11 | 2008 | 7 | |
| 12 | 2006 | 4 | |
| 13 | 1999 | 2 |
About Brigitte Ganter
Brigitte Ganter is a scholar working on Molecular Biology, Computational Theory and Mathematics, Oncology, Hematology and Virology, having authored 13 papers that have together received 509 indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Bioinformatics and Genomic Networks (3 papers), Cancer-related gene regulation (3 papers), Computational Drug Discovery Methods (3 papers), Molecular Biology Techniques and Applications (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Chronic Myeloid Leukemia Treatments (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Hematology (58 citations), Molecular Biology (351 citations), Computational Theory and Mathematics (66 citations), Pharmacology (26 citations) and Genetics (26 citations). Brigitte Ganter has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Joseph S. Lipsick, Craig N. Giroux, Ronald D. Snyder, Donald N. Halbert, May D. Lee, Dieter Haas, Marianne Gamper, D. Müller, Timothy J. Richmond and Song Tan. Their work appears in journals such as Pharmacogenomics, Journal of Molecular Biology, Advances in cancer research, FEBS Letters and Blood.
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.