Eli N. Weinstein
Impact in
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- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
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- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- CRISPR and Genetic Engineering
Papers in
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- Machine Learning in Bioinformatics 1
- Protein Structure and Dynamics 1
- Genomics and Phylogenetic Studies 1
- RNA and protein synthesis mechanisms 1
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- Neuroscience and Neural Engineering 2
- Photoreceptor and optogenetics research 2
- Co-authors
- Ali Madani (1 shared paper)Nikhil Naik (1 shared paper)Jeffrey A. Ruffolo (1 shared paper)Erik Nijkamp (1 shared paper)Adam E. Cohen (2 shared papers)Stephen D. Liberles (1 shared paper)Katherine Williams (1 shared paper)Nikita Kavokine (1 shared paper)
- Journals
- Nature Ecology & Evolution (1 paper)Cell Systems (1 paper)Journal of Neuroscience (1 paper)Stem Cell Reports (1 paper)
- Partner nations
- United States
In The Last Decade
Eli N. Weinstein
4 papers receiving 296 citations
Eli N. Weinstein's Hit Papers
Peers
Comparison fields: 5 of 57
- Cellular and Molecular Neuroscience 80
- Molecular Biology 217
- Aging 5
- Biophysics 16
- Cognitive Neuroscience 34
Countries citing papers authored by Eli N. Weinstein
This map shows the geographic impact of Eli N. 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 Eli N. Weinstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eli N. Weinstein more than expected).
Fields of papers citing papers by Eli N. Weinstein
This network shows the impact of papers produced by Eli N. 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 Eli N. Weinstein. The network helps show where Eli N. Weinstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Eli N. 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 | ProGen2: Exploring the boundaries of protein language models Hit paper breakdown → | 2023 | 169 |
| 2 | 2016 | 62 | |
| 3 | 2018 | 50 | |
| 4 | 2022 | 23 |
About Eli N. Weinstein
Eli N. Weinstein is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Ecology and Genetics, having authored 4 papers that have together received 304 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (2 papers), Photoreceptor and optogenetics research (2 papers), Neural dynamics and brain function (2 papers), Machine Learning in Bioinformatics (1 paper), Protein Structure and Dynamics (1 paper), Genomics and Phylogenetic Studies (1 paper), RNA and protein synthesis mechanisms (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (80 citations), Molecular Biology (217 citations), Aging (5 citations), Biophysics (16 citations) and Cognitive Neuroscience (34 citations). Eli N. Weinstein has collaborated with scholars based in United States. Frequent co-authors include Ali Madani, Nikhil Naik, Jeffrey A. Ruffolo, Erik Nijkamp, Adam E. Cohen, Stephen D. Liberles, Katherine Williams, Nikita Kavokine, Vicente Parot and Yoav Adam. Their work appears in journals such as Nature Ecology & Evolution, Cell Systems, Journal of Neuroscience and Stem Cell Reports.
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.