Jonathan J. Weinstein
Impact in
-
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Lipid Membrane Structure and Behavior
- Microbial Metabolic Engineering and Bioproduction
- Enzyme Catalysis and Immobilization
Papers in
-
- Protein Structure and Dynamics 5
- RNA and protein synthesis mechanisms 5
- Glycosylation and Glycoproteins Research 2
- Lipid Membrane Structure and Behavior 2
- Co-authors
- Sarel J. Fleishman (13 shared papers)Assaf Elazar (4 shared papers)Sergey Ovchinnikov (2 shared papers)Jonathan H. Chen (2 shared papers)Élodie Laine (2 shared papers)Yasser Mohseni Behbahani (2 shared papers)Niall M. Mangan (2 shared papers)Justas Dauparas (2 shared papers)
- Journals
- Nature Communications (2 papers)Nature (2 papers)Protein Science (2 papers)eLife (2 papers)Protein Engineering Design and Selection (1 paper)
- Partner nations
- IsraelUnited StatesSpain
In The Last Decade
Jonathan J. Weinstein
18 papers receiving 509 citations
Jonathan J. Weinstein's Hit Papers
Peers
Comparison fields: 5 of 77
- Molecular Biology 347
- Biotechnology 42
- Infectious Diseases 53
- Genetics 55
- Radiology, Nuclear Medicine and Imaging 37
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-authors
The 25 scholars most cited alongside Jonathan J. Weinstein, 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 | Mega-scale experimental analysis of protein folding stability in biology and design Hit paper breakdown → | 2023 | 157 |
| 2 | 2016 | 56 | |
| 3 | 2022 | 51 | |
| 4 | 2022 | 48 | |
| 5 | 2022 | 36 | |
| 6 | 2020 | 34 | |
| 7 | 2019 | 27 | |
| 8 | 2023 | 22 | |
| 9 | 2023 | 20 | |
| 10 | 2023 | 15 | |
| 11 | 2015 | 11 | |
| 12 | 2023 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2015 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2023 | 4 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 1 |
About Jonathan J. Weinstein
Jonathan J. Weinstein is a scholar working on Molecular Biology, Biotechnology, Infectious Diseases, Plant Science and Materials Chemistry, having authored 18 papers that have together received 514 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), RNA and protein synthesis mechanisms (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Enzyme Structure and Function (3 papers), Glycosylation and Glycoproteins Research (2 papers), Polysaccharides and Plant Cell Walls (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Molecular Biology (347 citations), Biotechnology (42 citations), Infectious Diseases (53 citations), Genetics (55 citations) and Radiology, Nuclear Medicine and Imaging (37 citations). Jonathan J. Weinstein has collaborated with scholars based in Israel, United States and Spain. Frequent co-authors include Sarel J. Fleishman, Assaf Elazar, Sergey Ovchinnikov, Jonathan H. Chen, Élodie Laine, Yasser Mohseni Behbahani, Niall M. Mangan, Justas Dauparas, Kotaro Tsuboyama and Gabriel J. Rocklin. Their work appears in journals such as Nature Communications, Nature, Protein Science, eLife and Protein Engineering Design and Selection.
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.