Thorsten Stafforst
- Molecular Biology top 10%
- Materials Chemistry
- Cellular and Molecular Neuroscience top 10%
- Cardiology and Cardiovascular Medicine
- Organic Chemistry
- Co-authors
- Paul VogelJacqueline WettengelDonald HilvertPhilipp ReautschnigJin Billy LiQin LiUlf DiederichsenSarah K. Merz
- Topics
- RNA regulation and disease (23 papers)RNA and protein synthesis mechanisms (15 papers)CRISPR and Genetic Engineering (14 papers)
- Journals
- Journal of the American Chemical SocietyNucleic Acids ResearchAngewandte Chemie International Edition
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Thorsten Stafforst
42 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 1.1k
- Materials Chemistry 200
- Cellular and Molecular Neuroscience 130
- Cardiology and Cardiovascular Medicine 126
- Organic Chemistry 83
Countries citing papers authored by Thorsten Stafforst
This map shows the geographic impact of Thorsten Stafforst'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 Thorsten Stafforst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thorsten Stafforst more than expected).
Fields of papers citing papers by Thorsten Stafforst
This network shows the impact of papers produced by Thorsten Stafforst. 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 Thorsten Stafforst. The network helps show where Thorsten Stafforst may publish in the future.
Co-authorship network of co-authors of Thorsten Stafforst
This figure shows the co-authorship network connecting the top 25 collaborators of Thorsten Stafforst. A scholar is included among the top collaborators of Thorsten Stafforst based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thorsten Stafforst. Thorsten Stafforst is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 10 | |
| 5 | 20 | |
| 6 | 12 | |
| 7 | 35 | |
| 8 | 7 | |
| 9 | 39 | |
| 10 | 97 | |
| 11 | 32 | |
| 12 | 5 | |
| 13 | 14 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 123 | |
| 17 | 9 | |
| 18 | 23 | |
| 19 | 11 | |
| 20 | 6 |
About Thorsten Stafforst
Thorsten Stafforst is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Materials Chemistry, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA regulation and disease (23 papers), RNA and protein synthesis mechanisms (15 papers) and CRISPR and Genetic Engineering (14 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Business and International Management (21 citations) and Cellular and Molecular Neuroscience (130 citations). Thorsten Stafforst has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Paul Vogel, Jacqueline Wettengel, Donald Hilvert, Philipp Reautschnig, Jin Billy Li, Qin Li, Ulf Diederichsen, Sarah K. Merz, Andreas Blaha and Sven Geisler. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Angewandte Chemie International Edition.
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.