Martin Weigt
- Molecular Biology top 2%
- Genetics top 2%
- Statistical and Nonlinear Physics top 0.5%
- Materials Chemistry top 10%
- Computational Theory and Mathematics top 0.5%
- Co-authors
- Terence HwaAlain BarratHendrik SzurmantAlexander K. HartmannAndrea PagnaniRiccardo ZecchinaJosé N. OnuchicJames A. Hoch
- Topics
- Protein Structure and Dynamics (27 papers)RNA and protein synthesis mechanisms (23 papers)Bioinformatics and Genomic Networks (23 papers)
In The Last Decade
Martin Weigt
98 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 3.9k
- Genetics 918
- Statistical and Nonlinear Physics 917
- Materials Chemistry 699
- Computational Theory and Mathematics 661
Countries citing papers authored by Martin Weigt
This map shows the geographic impact of Martin Weigt'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 Martin Weigt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Weigt more than expected).
Fields of papers citing papers by Martin Weigt
This network shows the impact of papers produced by Martin Weigt. 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 Martin Weigt. The network helps show where Martin Weigt may publish in the future.
Co-authorship network of co-authors of Martin Weigt
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Weigt. A scholar is included among the top collaborators of Martin Weigt 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 Martin Weigt. Martin Weigt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 50 | |
| 6 | 26 | |
| 7 | 15 | |
| 8 | 54 | |
| 9 | 166 | |
| 10 | 9 | |
| 11 | 13 | |
| 12 | 19 | |
| 13 | 65 | |
| 14 | 75 | |
| 15 | 34 | |
| 16 | 110 | |
| 17 | 2 | |
| 18 | Identification of direct residue contacts in protein–protein interaction by message passingbreakdown → | 695 |
| 19 | 17 | |
| 20 | The typical-case complexity of a vertex-covering algorithm on finite-connectivity random graphs | 4 |
About Martin Weigt
Martin Weigt is a scholar working on Condensed Matter Physics, Molecular Biology and Computational Theory and Mathematics, having authored 103 papers that have together received 6.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (27 papers), RNA and protein synthesis mechanisms (23 papers) and Bioinformatics and Genomic Networks (23 papers). The work is most often cited by research in Statistical and Nonlinear Physics (917 citations), Molecular Biology (3.9k citations) and Condensed Matter Physics (587 citations). Martin Weigt has collaborated with scholars based in France, Italy and Germany. Frequent co-authors include Terence Hwa, Alain Barrat, Hendrik Szurmant, Alexander K. Hartmann, Andrea Pagnani, Riccardo Zecchina, José N. Onuchic, James A. Hoch, Faruck Morcos and Robert A. White. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.