Guy Nimrod
Impact in
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- vaccines and immunoinformatics approaches
Papers in
-
- Protein Structure and Dynamics 5
- Machine Learning in Bioinformatics 4
- Glycosylation and Glycoproteins Research 2
- Genomics and Phylogenetic Studies 2
- vaccines and immunoinformatics approaches 1
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Nir Ben‐Tal (8 shared papers)Itay Mayrose (1 shared paper)Haim Ashkenazy (1 shared paper)Gershon Celniker (1 shared paper)Eric Martz (1 shared paper)Tal Pupko (1 shared paper)F. C. Glaser (1 shared paper)András Szilágyi (2 shared papers)
- Journals
- Structure (2 papers)Nucleic Acids Research (2 papers)Journal of Molecular Biology (1 paper)Microbiology (1 paper)ChemBioChem (1 paper)
- Partner nations
- IsraelUnited StatesHungary
In The Last Decade
Guy Nimrod
12 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 786
- Biotechnology 45
- Infectious Diseases 85
- Radiology, Nuclear Medicine and Imaging 96
- Computational Theory and Mathematics 70
Countries citing papers authored by Guy Nimrod
This map shows the geographic impact of Guy Nimrod'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 Guy Nimrod with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Nimrod more than expected).
Fields of papers citing papers by Guy Nimrod
This network shows the impact of papers produced by Guy Nimrod. 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 Guy Nimrod. The network helps show where Guy Nimrod may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Nimrod, 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 | 2013 | 434 | |
| 2 | 2008 | 189 | |
| 3 | 2006 | 76 | |
| 4 | 2010 | 70 | |
| 5 | 2009 | 69 | |
| 6 | 2014 | 60 | |
| 7 | 2008 | 60 | |
| 8 | 2018 | 54 | |
| 9 | 2013 | 14 | |
| 10 | 2009 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 5 |
About Guy Nimrod
Guy Nimrod is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Oncology and Cell Biology, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Machine Learning in Bioinformatics (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Genomics and Phylogenetic Studies (2 papers), T-cell and B-cell Immunology (2 papers), Enzyme Structure and Function (2 papers) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Molecular Biology (786 citations), Biotechnology (45 citations), Infectious Diseases (85 citations), Radiology, Nuclear Medicine and Imaging (96 citations) and Computational Theory and Mathematics (70 citations). Guy Nimrod has collaborated with scholars based in Israel, United States and Hungary. Frequent co-authors include Nir Ben‐Tal, Itay Mayrose, Haim Ashkenazy, Gershon Celniker, Eric Martz, Tal Pupko, F. C. Glaser, András Szilágyi, Maya Schushan and Christina S. Leslie. Their work appears in journals such as Structure, Nucleic Acids Research, Journal of Molecular Biology, Microbiology and ChemBioChem.
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.