Torsten Groß
Impact in
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- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Single-cell and spatial transcriptomics
- 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 Photonic Systems 1
- Co-authors
- Chris Sander (2 shared papers)Debora S. Marks (2 shared papers)John Ingraham (1 shared paper)Caleb Weinreb (1 shared paper)Adam J. Riesselman (1 shared paper)Nils Blüthgen (4 shared papers)Linus J. Schumacher (1 shared paper)Jake P. Taylor‐King (2 shared papers)
- Journals
- Bioinformatics (3 papers)Cell Reports Methods (1 paper)Cell (1 paper)Cell Genomics (1 paper)Nature Methods (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Torsten Groß
11 papers receiving 230 citations
Peers
Comparison fields: 5 of 48
- Biophysics 18
- Molecular Biology 184
- 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 | 117 | |
| 2 | 2024 | 59 | |
| 3 | 2018 | 14 | |
| 4 | 2024 | 9 | |
| 5 | 2020 | 9 | |
| 6 | 2023 | 9 | |
| 7 | 2019 | 6 | |
| 8 | 2014 | 5 | |
| 9 | 2011 | 2 | |
| 10 | 2014 | 1 | |
| 11 | 2019 | 1 |
About Torsten Groß
Torsten Groß is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Computer Networks and Communications and Computational Theory and Mathematics, having authored 11 papers that have together received 232 indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (2 papers), Single-cell and spatial transcriptomics (2 papers), Gene Regulatory Network Analysis (2 papers), Nonlinear Photonic Systems (1 paper), Nonlinear Dynamics and Pattern Formation (1 paper), Flexible and Reconfigurable Manufacturing Systems (1 paper), T-cell and B-cell Immunology (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Biophysics (18 citations), Molecular Biology (184 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 Chris Sander, Debora S. Marks, John Ingraham, Caleb Weinreb, Adam J. Riesselman, Nils Blüthgen, Linus J. Schumacher, Jake P. Taylor‐King, Samuele Garda and Augustin Luna. Their work appears in journals such as Bioinformatics, Cell Reports Methods, Cell, Cell Genomics and Nature Methods.
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.