Itamar Kass

1.4k total citations
40 papers, 1.1k citations indexed

About

Itamar Kass is a scholar working on Molecular Biology, Biomaterials and Cellular and Molecular Neuroscience. According to data from OpenAlex, Itamar Kass has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 6 papers in Biomaterials and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Itamar Kass's work include Protein Structure and Dynamics (13 papers), Lipid Membrane Structure and Behavior (5 papers) and Photoreceptor and optogenetics research (4 papers). Itamar Kass is often cited by papers focused on Protein Structure and Dynamics (13 papers), Lipid Membrane Structure and Behavior (5 papers) and Photoreceptor and optogenetics research (4 papers). Itamar Kass collaborates with scholars based in Australia, Israel and United States. Itamar Kass's co-authors include Isaiah T. Arkin, Amnon Horovitz, Prabuddha Mukherjee, Martin T. Zanni, Ashley M. Buckle, Natalie A. Borg, Amber T. Krummel, Benjamin T. Porebski, Eric C. Fulmer and Blake T. Riley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Itamar Kass

38 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Itamar Kass Australia 17 683 301 218 118 84 40 1.1k
Patrice Dosset France 15 1.0k 1.5× 202 0.7× 150 0.7× 46 0.4× 198 2.4× 27 1.4k
Taras V. Pogorelov United States 19 1.0k 1.5× 283 0.9× 107 0.5× 130 1.1× 171 2.0× 47 1.4k
André Lopez France 22 1.1k 1.6× 200 0.7× 139 0.6× 226 1.9× 139 1.7× 38 1.6k
Jozef Hritz Czechia 20 833 1.2× 79 0.3× 131 0.6× 49 0.4× 137 1.6× 50 1.2k
Tod D. Romo United States 17 1.2k 1.7× 121 0.4× 135 0.6× 236 2.0× 281 3.3× 40 1.4k
Elisa Fadda Ireland 19 1.2k 1.7× 85 0.3× 122 0.6× 65 0.6× 145 1.7× 47 1.8k
Fabio Casagrande Switzerland 15 591 0.9× 68 0.2× 223 1.0× 120 1.0× 97 1.2× 20 962
Levi Pierce United States 17 1.2k 1.7× 154 0.5× 177 0.8× 74 0.6× 295 3.5× 27 1.6k
Jayashree Srinivasan United States 11 1.7k 2.5× 180 0.6× 147 0.7× 71 0.6× 310 3.7× 16 2.2k
Heedeok Hong United States 18 1.2k 1.7× 152 0.5× 148 0.7× 76 0.6× 129 1.5× 30 1.5k

Countries citing papers authored by Itamar Kass

Since Specialization
Citations

This map shows the geographic impact of Itamar Kass'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 Itamar Kass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Itamar Kass more than expected).

Fields of papers citing papers by Itamar Kass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Itamar Kass. 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 Itamar Kass. The network helps show where Itamar Kass may publish in the future.

Co-authorship network of co-authors of Itamar Kass

This figure shows the co-authorship network connecting the top 25 collaborators of Itamar Kass. A scholar is included among the top collaborators of Itamar Kass 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 Itamar Kass. Itamar Kass is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Arad, Elad, Ran Zalk, Itamar Kass, et al.. (2025). Allosteric amyloid catalysis by coiled coil fibrils. Nature Communications. 16(1). 5071–5071. 2 indexed citations
2.
Pandey, Himanshu, Raz Zarivach, Gabriel A. Frank, et al.. (2024). Noncanonical interaction with microtubules via the N-terminal nonmotor domain is critical for the functions of a bidirectional kinesin. Science Advances. 10(6). eadi1367–eadi1367. 2 indexed citations
3.
Arad, Elad, et al.. (2024). A Matter of Charge: Electrostatically Tuned Coassembly of Amphiphilic Peptides. Small. 20(47). e2404324–e2404324. 8 indexed citations
4.
Kryukov, Olga, et al.. (2024). Enhanced Cell Adhesion Properties of a Collagen‐Mimicking Peptide Through Site‐Specific L‐DOPA Incorporation. Advanced Functional Materials. 35(11). 2 indexed citations
5.
Webb, Chaille T., Wei Yang, Blake T. Riley, et al.. (2022). A metal ion–dependent conformational switch modulates activity of the Plasmodium M17 aminopeptidase. Journal of Biological Chemistry. 298(7). 102119–102119. 3 indexed citations
6.
Fellner, Matthias, et al.. (2021). Altered structure and dynamics of pathogenic cytochrome c variants correlate with increased apoptotic activity. Biochemical Journal. 478(3). 669–684. 16 indexed citations
8.
Marijanovic, Emilia M., Blake T. Riley, Benjamin T. Porebski, et al.. (2019). Reactive centre loop dynamics and serpin specificity. Scientific Reports. 9(1). 3870–3870. 34 indexed citations
9.
Riley, Blake T., et al.. (2019). The Role of Conformational Dynamics in Abacavir-Induced Hypersensitivity Syndrome. Scientific Reports. 9(1). 10523–10523. 8 indexed citations
10.
Yang, Wei, Blake T. Riley, X. L. Lei, et al.. (2018). Mapping the Pathway and Dynamics of Bestatin Inhibition of the Plasmodium falciparum M1 Aminopeptidase PfA‐M1. ChemMedChem. 13(23). 2504–2513. 9 indexed citations
11.
Porebski, Benjamin T., Adrian A. Nickson, Emilia M. Marijanovic, et al.. (2016). Smoothing a rugged protein folding landscape by sequence-based redesign. Scientific Reports. 6(1). 33958–33958. 20 indexed citations
12.
Barber-Zucker, S., René Uebe, Geula Davidov, et al.. (2016). Disease-Homologous Mutation in the Cation Diffusion Facilitator Protein MamM Causes Single-Domain Structural Loss and Signifies Its Importance. Scientific Reports. 6(1). 31933–31933. 15 indexed citations
13.
Riley, Blake T., Maurício G. S. Costa, Benjamin T. Porebski, et al.. (2016). Direct and indirect mechanisms of KLK4 inhibition revealed by structure and dynamics. Scientific Reports. 6(1). 35385–35385. 29 indexed citations
14.
Porebski, Benjamin T., Blake T. Riley, Marlena Godlewska, et al.. (2015). Modelling of Thyroid Peroxidase Reveals Insights into Its Enzyme Function and Autoantigenicity. PLoS ONE. 10(12). e0142615–e0142615. 40 indexed citations
15.
Kass, Itamar, Ashley M. Buckle, & Natalie A. Borg. (2014). Understanding the structural dynamics of TCR-pMHC interactions. Trends in Immunology. 35(12). 604–612. 42 indexed citations
16.
Samson, André L., Anja S. Knaupp, Itamar Kass, et al.. (2014). Oxidation of an Exposed Methionine Instigates the Aggregation of Glyceraldehyde-3-phosphate Dehydrogenase. Journal of Biological Chemistry. 289(39). 26922–26936. 40 indexed citations
17.
Kass, Itamar, Anja S. Knaupp, Stephen Bottomley, & Ashley M. Buckle. (2012). Conformational Properties of the Disease-Causing Z Variant of α1-Antitrypsin Revealed by Theory and Experiment. Biophysical Journal. 102(12). 2856–2865. 21 indexed citations
18.
Kass, Itamar, Cyril F. Reboul, & Ashley M. Buckle. (2011). Computational Methods for Studying Serpin Conformational Change and Structural Plasticity. Methods in enzymology on CD-ROM/Methods in enzymology. 501. 295–323. 5 indexed citations
19.
Kass, Itamar & Isaiah T. Arkin. (2005). How pH Opens a H+ Channel: The Gating Mechanism of Influenza A M2. Structure. 13(12). 1789–1798. 55 indexed citations
20.
Arbely, Eyal, Itamar Kass, & Isaiah T. Arkin. (2003). Site-Specific Dichroism Analysis Utilizing Transmission FTIR. Biophysical Journal. 85(4). 2476–2483. 7 indexed citations

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.

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