Sandra Placzek
Impact in
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Enzyme Catalysis and Immobilization
- Gene Regulatory Network Analysis
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
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- Computational Drug Discovery Methods
Papers in
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- Microbial Metabolic Engineering and Bioproduction 4
- Bioinformatics and Genomic Networks 3
- Biomedical Text Mining and Ontologies 2
- Enzyme Catalysis and Immobilization 1
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- Microbial Natural Products and Biosynthesis 1
- Co-authors
- Dietmar Schomburg (5 shared papers)Lisa Jeske (4 shared papers)Antje Chang (4 shared papers)Ida Schomburg (4 shared papers)Marcus Ulbrich (2 shared papers)A. Chang (1 shared paper)Maurice Scheer (1 shared paper)Andreas Grote (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Journal of Biotechnology (1 paper)Legal Reference Services Quarterly (1 paper)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Sandra Placzek
6 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 140
- Molecular Biology 881
- Computational Theory and Mathematics 119
- Biotechnology 53
- Biochemistry 41
- Biomedical Engineering 196
Countries citing papers authored by Sandra Placzek
This map shows the geographic impact of Sandra Placzek'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 Sandra Placzek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Placzek more than expected).
Fields of papers citing papers by Sandra Placzek
This network shows the impact of papers produced by Sandra Placzek. 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 Sandra Placzek. The network helps show where Sandra Placzek may publish in the future.
Co-authors
The 13 scholars most cited alongside Sandra Placzek, 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 | 2012 | 309 | |
| 2 | 2018 | 275 | |
| 3 | 2016 | 213 | |
| 4 | 2014 | 151 | |
| 5 | 2017 | 136 | |
| 6 | 2001 | 67 |
About Sandra Placzek
Sandra Placzek is a scholar working on Molecular Biology, Pharmacology, Library and Information Sciences, Genetics and Spectroscopy, having authored 6 papers that have together received 1.2k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (4 papers), Bioinformatics and Genomic Networks (3 papers), Biomedical Text Mining and Ontologies (2 papers), Enzyme Catalysis and Immobilization (1 paper), Genomics and Rare Diseases (1 paper), Enzyme Structure and Function (1 paper), Library Science and Information Literacy (1 paper) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Molecular Biology (881 citations), Computational Theory and Mathematics (119 citations), Biotechnology (53 citations), Biochemistry (41 citations) and Biomedical Engineering (196 citations). Sandra Placzek has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Dietmar Schomburg, Lisa Jeske, Antje Chang, Ida Schomburg, Marcus Ulbrich, A. Chang, Maurice Scheer, Andreas Grote, Michael Rother and Carola Söhngen. Their work appears in journals such as Nucleic Acids Research, Journal of Biotechnology and Legal Reference Services Quarterly.
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.