Jonathan J. Weinstein
- Co-authors
- Sarel J. FleishmanAssaf ElazarAdi GoldenzweigJonathan H. ChenSergey OvchinnikovÉlodie LaineSugyan M. DixitKotaro Tsuboyama
- Topics
- Protein Structure and Dynamics (7 papers)RNA and protein synthesis mechanisms (6 papers)SARS-CoV-2 and COVID-19 Research (3 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- IsraelUnited StatesSpain
In The Last Decade
Jonathan J. Weinstein
20 papers receiving 575 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 412
- Biomedical Engineering 70
- Biotechnology 62
- Materials Chemistry 60
- Genetics 58
Countries citing papers authored by Jonathan J. Weinstein
This map shows the geographic impact of Jonathan J. Weinstein'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 Jonathan J. Weinstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan J. Weinstein more than expected).
Fields of papers citing papers by Jonathan J. Weinstein
This network shows the impact of papers produced by Jonathan J. Weinstein. 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 Jonathan J. Weinstein. The network helps show where Jonathan J. Weinstein may publish in the future.
Co-authorship network of co-authors of Jonathan J. Weinstein
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan J. Weinstein. A scholar is included among the top collaborators of Jonathan J. Weinstein 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 Jonathan J. Weinstein. Jonathan J. Weinstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 16 | |
| 4 | 7 | |
| 5 | 18 | |
| 6 | Mega-scale experimental analysis of protein folding stability in biology and designbreakdown → | 139 |
| 7 | 4 | |
| 8 | 15 | |
| 9 | 9 | |
| 10 | 50 | |
| 11 | 34 | |
| 12 | 44 | |
| 13 | 6 | |
| 14 | 34 | |
| 15 | 67 | |
| 16 | 27 | |
| 17 | 37 | |
| 18 | 55 | |
| 19 | 11 | |
| 20 | 6 |
About Jonathan J. Weinstein
Jonathan J. Weinstein is a scholar working on Biotechnology, Molecular Biology and Infectious Diseases, having authored 20 papers that have together received 581 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), RNA and protein synthesis mechanisms (6 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Biotechnology (62 citations), Molecular Biology (412 citations) and Infectious Diseases (50 citations). Jonathan J. Weinstein has collaborated with scholars based in Israel, United States and Spain. Frequent co-authors include Sarel J. Fleishman, Assaf Elazar, Adi Goldenzweig, Jonathan H. Chen, Sergey Ovchinnikov, Élodie Laine, Sugyan M. Dixit, Kotaro Tsuboyama, Yasser Mohseni Behbahani and Niall M. Mangan. Their work appears in journals such as Nature, 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.