Franziska Hoffgaard
Impact in
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- Protein Structure and Dynamics
- vaccines and immunoinformatics approaches
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Ion channel regulation and function
Papers in
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- Protein Structure and Dynamics 7
- Machine Learning in Bioinformatics 3
- RNA and protein synthesis mechanisms 3
- Ion channel regulation and function 2
- vaccines and immunoinformatics approaches 2
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- Spectroscopy and Quantum Chemical Studies 2
- Co-authors
- Kay Hamacher (9 shared papers)Stefan M. Kast (5 shared papers)Timo Strunk (1 shared paper)Anna Moroni (2 shared papers)Wolfgang Wenzel (1 shared paper)Harald Engelhardt (1 shared paper)Felicitas Pfeifer (1 shared paper)Gerhard Thiel (2 shared papers)
In The Last Decade
Franziska Hoffgaard
14 papers receiving 187 citations
Peers
Comparison fields: 5 of 53
- Filtration and Separation 6
- Molecular Biology 141
- Immunology 31
- Physical and Theoretical Chemistry 9
- Oncology 24
Countries citing papers authored by Franziska Hoffgaard
This map shows the geographic impact of Franziska Hoffgaard'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 Franziska Hoffgaard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franziska Hoffgaard more than expected).
Fields of papers citing papers by Franziska Hoffgaard
This network shows the impact of papers produced by Franziska Hoffgaard. 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 Franziska Hoffgaard. The network helps show where Franziska Hoffgaard may publish in the future.
Co-authors
The 25 scholars most cited alongside Franziska Hoffgaard, 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 | 2011 | 35 | |
| 2 | 2018 | 24 | |
| 3 | 2009 | 21 | |
| 4 | 2013 | 19 | |
| 5 | 2021 | 18 | |
| 6 | 2010 | 18 | |
| 7 | 2011 | 16 | |
| 8 | 2010 | 10 | |
| 9 | 2017 | 9 | |
| 10 | 2015 | 8 | |
| 11 | 2012 | 4 | |
| 12 | 2013 | 4 | |
| 13 | 2010 | 3 | |
| 14 | 2011 | 1 |
About Franziska Hoffgaard
Franziska Hoffgaard is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Cardiology and Cardiovascular Medicine, Oncology and Computational Theory and Mathematics, having authored 14 papers that have together received 190 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Machine Learning in Bioinformatics (3 papers), RNA and protein synthesis mechanisms (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Ion channel regulation and function (2 papers), Computational Drug Discovery Methods (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Filtration and Separation (6 citations), Molecular Biology (141 citations), Immunology (31 citations), Physical and Theoretical Chemistry (9 citations) and Oncology (24 citations). Franziska Hoffgaard has collaborated with scholars based in Germany, Italy and Spain. Frequent co-authors include Kay Hamacher, Stefan M. Kast, Timo Strunk, Anna Moroni, Wolfgang Wenzel, Harald Engelhardt, Felicitas Pfeifer, Gerhard Thiel, Martin Priemer and Daniel J. Kowalewski. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Molecular Microbiology, Biochimica et Biophysica Acta (BBA) - Biomembranes, Journal of Computational Chemistry and Molecular & Cellular Proteomics.
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.