Torsten Groß
Impact in
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- RNA and protein synthesis mechanisms
- Single-cell and spatial transcriptomics
- RNA modifications and cancer
- RNA Research and Splicing
- Protein Structure and Dynamics
- Gene Regulatory Network Analysis
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
Papers in
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- Single-cell and spatial transcriptomics 2
- Gene Regulatory Network Analysis 2
- Bioinformatics and Genomic Networks 1
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- Nonlinear Dynamics and Pattern Formation 1
- Co-authors
- Debora S. Marks (2 shared papers)Chris Sander (2 shared papers)Adam J. Riesselman (1 shared paper)John Ingraham (1 shared paper)Caleb Weinreb (1 shared paper)Nils Blüthgen (4 shared papers)Augustin Luna (1 shared paper)Jake P. Taylor‐King (2 shared papers)
- Journals
- Bioinformatics (3 papers)Cell Genomics (1 paper)Nature Methods (1 paper)Cell Reports Methods (1 paper)Cell (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Torsten Groß
9 papers receiving 224 citations
Peers
Comparison fields: 5 of 46
- Biophysics 18
- Molecular Biology 180
- Cancer Research 13
- Structural Biology 1
- Computational Theory and Mathematics 10
Countries citing papers authored by Torsten Groß
This map shows the geographic impact of Torsten Groß'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 Torsten Groß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torsten Groß more than expected).
Fields of papers citing papers by Torsten Groß
This network shows the impact of papers produced by Torsten Groß. 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 Torsten Groß. The network helps show where Torsten Groß may publish in the future.
Co-authors
The 25 scholars most cited alongside Torsten Groß, 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 | 2016 | 114 | |
| 2 | 2024 | 59 | |
| 3 | 2018 | 14 | |
| 4 | 2024 | 9 | |
| 5 | 2020 | 9 | |
| 6 | 2023 | 9 | |
| 7 | 2019 | 6 | |
| 8 | 2014 | 4 | |
| 9 | 2019 | 1 |
About Torsten Groß
Torsten Groß is a scholar working on Molecular Biology, Computer Networks and Communications, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 9 papers that have together received 225 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Gene Regulatory Network Analysis (2 papers), Nonlinear Dynamics and Pattern Formation (1 paper), Flexible and Reconfigurable Manufacturing Systems (1 paper), Spectroscopy and Quantum Chemical Studies (1 paper), T-cell and B-cell Immunology (1 paper), Bioinformatics and Genomic Networks (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Biophysics (18 citations), Molecular Biology (180 citations), Cancer Research (13 citations), Structural Biology (1 citation) and Computational Theory and Mathematics (10 citations). Torsten Groß has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Debora S. Marks, Chris Sander, Adam J. Riesselman, John Ingraham, Caleb Weinreb, Nils Blüthgen, Augustin Luna, Jake P. Taylor‐King, Bo Yuan and Stefan Peidli. Their work appears in journals such as Bioinformatics, Cell Genomics, Nature Methods, Cell Reports Methods and Cell.
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.