Sanna Herrgård
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Melanoma and MAPK Pathways
- Bioinformatics and Genomic Networks
- Protein Degradation and Inhibitors
- Protein Kinase Regulation and GTPase Signaling
Papers in
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- Enzyme Catalysis and Immobilization 2
- 14-3-3 protein interactions 2
- Microbial Metabolic Engineering and Bioproduction 2
- Protein Kinase Regulation and GTPase Signaling 2
- Plant biochemistry and biosynthesis 1
- Protein Degradation and Inhibitors 1
- Surgery 1
- Co-authors
- Patrick P. Zarrinkar (2 shared papers)Daniel K. Treiber (1 shared paper)Pietro Ciceri (1 shared paper)Jeremy P. Hunt (1 shared paper)Gabriel Pallares (1 shared paper)Lisa Wodicka (1 shared paper)Michael Höcker (1 shared paper)Mindy I. Davis (1 shared paper)
- Journals
- Biochemistry (1 paper)Nature Biotechnology (1 paper)Proteins Structure Function and Bioinformatics (1 paper)FEBS Letters (1 paper)Chemistry & Biology (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Sanna Herrgård
7 papers receiving 1.8k citations
Sanna Herrgård's Hit Papers
Peers
Comparison fields: 5 of 97
- Computational Theory and Mathematics 698
- Molecular Biology 1.2k
- Genetics 131
- Oncology 316
- Hematology 133
Countries citing papers authored by Sanna Herrgård
This map shows the geographic impact of Sanna Herrgård'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 Sanna Herrgård with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanna Herrgård more than expected).
Fields of papers citing papers by Sanna Herrgård
This network shows the impact of papers produced by Sanna Herrgård. 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 Sanna Herrgård. The network helps show where Sanna Herrgård may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanna Herrgård, 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 | Comprehensive analysis of kinase inhibitor selectivity Hit paper breakdown → | 2011 | 1723 |
| 2 | 2011 | 96 | |
| 3 | 2000 | 31 | |
| 4 | 2003 | 23 | |
| 5 | 2000 | 9 | |
| 6 | 2018 | 8 | |
| 7 | Computational analysis of protein function : lipases and A-kinase anchoring proteins | 2001 | 1 |
About Sanna Herrgård
Sanna Herrgård is a scholar working on Molecular Biology, Surgery, Pathology and Forensic Medicine, Information Systems and Information Systems and Management, having authored 7 papers that have together received 1.9k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (2 papers), 14-3-3 protein interactions (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cancer Mechanisms and Therapy (1 paper), Plant biochemistry and biosynthesis (1 paper), Protein Degradation and Inhibitors (1 paper) and Genetics, Aging, and Longevity in Model Organisms (1 paper). The work is most often cited by research in Computational Theory and Mathematics (698 citations), Molecular Biology (1.2k citations), Genetics (131 citations), Oncology (316 citations) and Hematology (133 citations). Sanna Herrgård has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Patrick P. Zarrinkar, Daniel K. Treiber, Pietro Ciceri, Jeremy P. Hunt, Gabriel Pallares, Lisa Wodicka, Michael Höcker, Mindy I. Davis, Shankar Subramaniam and Cynthia Gibas. Their work appears in journals such as Biochemistry, Nature Biotechnology, Proteins Structure Function and Bioinformatics, FEBS Letters and Chemistry & Biology.
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.