Nir Kalisman
Impact in
- Structural Biology top 5%
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
Papers in
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- Protein Structure and Dynamics 8
- RNA and protein synthesis mechanisms 5
- Genomics and Chromatin Dynamics 4
- RNA Research and Splicing 4
- Heat shock proteins research 3
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- Enzyme Structure and Function 8
- Co-authors
- Michael Levitt (6 shared papers)Gilad Silberberg (2 shared papers)Henry Markram (2 shared papers)Christopher M. Adams (2 shared papers)Roger D. Kornberg (3 shared papers)David Bushnell (3 shared papers)Yael Levi‐Kalisman (2 shared papers)Kenji Murakami (4 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Structure (4 papers)Proteins Structure Function and Bioinformatics (3 papers)Analytical Chemistry (2 papers)iScience (1 paper)
- Partner nations
- IsraelUnited StatesSwitzerland
In The Last Decade
Nir Kalisman
30 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 106
- Structural Biology 55
- Molecular Biology 747
- Cognitive Neuroscience 171
- Materials Chemistry 407
- Cellular and Molecular Neuroscience 155
Countries citing papers authored by Nir Kalisman
This map shows the geographic impact of Nir Kalisman'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 Nir Kalisman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir Kalisman more than expected).
Fields of papers citing papers by Nir Kalisman
This network shows the impact of papers produced by Nir Kalisman. 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 Nir Kalisman. The network helps show where Nir Kalisman may publish in the future.
Co-authors
The 25 scholars most cited alongside Nir Kalisman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 207 | |
| 2 | 2005 | 146 | |
| 3 | 2012 | 139 | |
| 4 | 2013 | 127 | |
| 5 | 2020 | 84 | |
| 6 | 2015 | 81 | |
| 7 | 2003 | 58 | |
| 8 | 2019 | 52 | |
| 9 | 2013 | 49 | |
| 10 | 2021 | 41 | |
| 11 | 2019 | 40 | |
| 12 | 2010 | 37 | |
| 13 | 2021 | 36 | |
| 14 | 2016 | 35 | |
| 15 | 2005 | 30 | |
| 16 | 2008 | 28 | |
| 17 | 2023 | 15 | |
| 18 | 2017 | 11 | |
| 19 | 2018 | 10 | |
| 20 | 2011 | 8 |
About Nir Kalisman
Nir Kalisman is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Computational Theory and Mathematics and Physiology, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (8 papers), RNA and protein synthesis mechanisms (5 papers), Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (4 papers), Computational Drug Discovery Methods (3 papers), Heat shock proteins research (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). The work is most often cited by research in Structural Biology (55 citations), Molecular Biology (747 citations), Cognitive Neuroscience (171 citations), Materials Chemistry (407 citations) and Cellular and Molecular Neuroscience (155 citations). Nir Kalisman has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Michael Levitt, Gilad Silberberg, Henry Markram, Christopher M. Adams, Roger D. Kornberg, David Bushnell, Yael Levi‐Kalisman, Kenji Murakami, Pablo D. Jadzinsky and Hironori Tsunoyama. Their work appears in journals such as Proceedings of the National Academy of Sciences, Structure, Proteins Structure Function and Bioinformatics, Analytical Chemistry and iScience.
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.