Thomas A. Hopf
- Molecular Biology top 2%
- Genetics top 5%
- Materials Chemistry top 10%
- Spectroscopy top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- Debora S. MarksChris SanderRobert P. SheridanLucy J. ColwellCharlotta SchärfeAndrea PagnaniRiccardo ZecchinaBurkhard Rost
- Topics
- Protein Structure and Dynamics (10 papers)RNA and protein synthesis mechanisms (10 papers)Genomics and Phylogenetic Studies (7 papers)
- Journals
- NatureCellNature Communications
- Partner nations
- United StatesGermanySweden
In The Last Decade
Thomas A. Hopf
21 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 3.2k
- Genetics 685
- Materials Chemistry 564
- Spectroscopy 260
- Computational Theory and Mathematics 235
Countries citing papers authored by Thomas A. Hopf
This map shows the geographic impact of Thomas A. Hopf'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 Thomas A. Hopf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas A. Hopf more than expected).
Fields of papers citing papers by Thomas A. Hopf
This network shows the impact of papers produced by Thomas A. Hopf. 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 Thomas A. Hopf. The network helps show where Thomas A. Hopf may publish in the future.
Co-authorship network of co-authors of Thomas A. Hopf
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas A. Hopf. A scholar is included among the top collaborators of Thomas A. Hopf 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 Thomas A. Hopf. Thomas A. Hopf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 48 | |
| 3 | A deep proteome and transcriptome abundance atlas of 29 healthy human tissuesbreakdown → | 449 |
| 4 | 172 | |
| 5 | 181 | |
| 6 | 89 | |
| 7 | 17 | |
| 8 | 2 | |
| 9 | Mutation effects predicted from sequence co-variationbreakdown → | 447 |
| 10 | 91 | |
| 11 | Phenotype prediction from evolutionary sequence covariation | 2 |
| 12 | 96 | |
| 13 | 53 | |
| 14 | 3 | |
| 15 | 117 | |
| 16 | 355 | |
| 17 | 51 | |
| 18 | 450 | |
| 19 | 389 | |
| 20 | Protein 3D Structure Computed from Evolutionary Sequence Variationbreakdown → | 762 |
About Thomas A. Hopf
Thomas A. Hopf is a scholar working on Molecular Biology, Biotechnology and Genetics, having authored 21 papers that have together received 3.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), RNA and protein synthesis mechanisms (10 papers) and Genomics and Phylogenetic Studies (7 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Genetics (685 citations) and Spectroscopy (260 citations). Thomas A. Hopf has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Debora S. Marks, Chris Sander, Robert P. Sheridan, Lucy J. Colwell, Charlotta Schärfe, Andrea Pagnani, Riccardo Zecchina, Burkhard Rost, John Ingraham and Michael Springer. Their work appears in journals such as Nature, Cell and Nature Communications.
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.