Naama Kessler

2.1k total citations
36 papers, 1.8k citations indexed

About

Naama Kessler is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Naama Kessler has authored 36 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 11 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Oncology. Recurrent topics in Naama Kessler's work include RNA and protein synthesis mechanisms (11 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and HIV Research and Treatment (7 papers). Naama Kessler is often cited by papers focused on RNA and protein synthesis mechanisms (11 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and HIV Research and Treatment (7 papers). Naama Kessler collaborates with scholars based in Israel, United States and Russia. Naama Kessler's co-authors include Bruce Stillman, Paul D. Kaufman, Lia Addadi, H. Rozenberg, Zippora Shakked, Jacob Anglister, Tali E. Haran, Liron Klipcan, Mark Safro and Dov Rabinovich and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Naama Kessler

36 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naama Kessler Israel 20 1.2k 365 218 213 163 36 1.8k
Valerie A. Kickhoefer United States 33 2.1k 1.7× 762 2.1× 222 1.0× 45 0.2× 357 2.2× 58 3.0k
Jean Méry France 22 1.9k 1.6× 131 0.4× 115 0.5× 116 0.5× 302 1.9× 51 2.7k
Michel Véron France 34 1.6k 1.3× 148 0.4× 82 0.4× 198 0.9× 297 1.8× 79 2.5k
Peter Lock Australia 28 1.2k 1.0× 412 1.1× 84 0.4× 34 0.2× 590 3.6× 56 2.5k
Martin L. Phillips United States 33 1.9k 1.5× 165 0.5× 47 0.2× 85 0.4× 340 2.1× 72 3.2k
Patrick Fuchs France 26 1.6k 1.3× 78 0.2× 115 0.5× 37 0.2× 121 0.7× 61 2.4k
Sara Sandin Singapore 21 1.4k 1.1× 93 0.3× 27 0.1× 203 1.0× 107 0.7× 32 2.0k
Roberto Melero Spain 22 1.2k 1.0× 162 0.4× 64 0.3× 31 0.1× 71 0.4× 47 1.6k
Fedor Čiampor Slovakia 21 750 0.6× 131 0.4× 55 0.3× 68 0.3× 146 0.9× 132 1.7k
L. Warren United States 20 1.3k 1.0× 208 0.6× 93 0.4× 43 0.2× 241 1.5× 42 2.0k

Countries citing papers authored by Naama Kessler

Since Specialization
Citations

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

Fields of papers citing papers by Naama Kessler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naama Kessler

This figure shows the co-authorship network connecting the top 25 collaborators of Naama Kessler. A scholar is included among the top collaborators of Naama Kessler 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 Naama Kessler. Naama Kessler 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.
Kumar, Suresh, Sabine R. Akabayov, Naama Kessler, et al.. (2020). The methyl 13C-edited/13C-filtered transferred NOE for studying protein interactions with short linear motifs. Journal of Biomolecular NMR. 74(12). 681–693. 7 indexed citations
2.
Kessler, Naama, Sabine R. Akabayov, Leah Cohen, et al.. (2020). Allovalency observed by transferred NOE: interactions of sulfated tyrosine residues in the N‐terminal segment of CCR5 with the CCL5 chemokine. FEBS Journal. 288(5). 1648–1663. 6 indexed citations
3.
Kessler, Naama, et al.. (2015). 29 Structural and binding properties of DNA response elements bound to p53 proteins and the role of spacer sequences in p53-DNA interactions. Journal of Biomolecular Structure and Dynamics. 33(sup1). 16–17. 1 indexed citations
4.
Bhattacherjee, Arnab, et al.. (2015). Thermodynamic Protein Destabilization by GFP Tagging: A Case of Interdomain Allostery. Biophysical Journal. 109(6). 1157–1162. 26 indexed citations
5.
Klipcan, Liron, et al.. (2011). Crystal Structure of Human Mitochondrial PheRS Complexed with tRNAPhe in the Active “Open” State. Journal of Molecular Biology. 415(3). 527–537. 40 indexed citations
6.
7.
Moor, Nina, et al.. (2009). Crystallization and X-ray analysis of human cytoplasmic phenylalanyl-tRNA synthetase. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 65(2). 93–97. 2 indexed citations
8.
Klipcan, Liron, et al.. (2008). The tRNA-Induced Conformational Activation of Human Mitochondrial Phenylalanyl-tRNA Synthetase. Structure. 16(7). 1095–1104. 50 indexed citations
9.
Rozenberg, H., Ran Brosh, Yael Diskin‐Posner, et al.. (2008). Structural Basis of Restoring Sequence-Specific DNA Binding and Transactivation to Mutant p53 by Suppressor Mutations. Journal of Molecular Biology. 385(1). 249–265. 49 indexed citations
10.
Levin, Inna, Naama Kessler, Nina Moor, et al.. (2007). Purification, crystallization and preliminary X-ray characterization of a human mitochondrial phenylalanyl-tRNA synthetase. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 63(9). 761–764. 6 indexed citations
11.
Eyal, Eran, et al.. (2007). RUN-CBFβ Interaction inC. elegans: Computational Prediction and Experimental Verification. Journal of Biomolecular Structure and Dynamics. 24(4). 343–357. 1 indexed citations
12.
13.
Rozenberg, H., Naama Kessler, Dov Rabinovich, et al.. (2006). Structural Basis of DNA Recognition by p53 Tetramers. Molecular Cell. 22(6). 741–753. 326 indexed citations
14.
Kessler, Naama, Jan L. Sumerel, Daniel E. Morse, et al.. (2005). Asprich: A Novel Aspartic Acid‐Rich Protein Family from the Prismatic Shell Matrix of the Bivalve Atrina rigida. ChemBioChem. 6(2). 304–314. 200 indexed citations
15.
Kessler, Naama, Anat Zvi, Michal Sharon, et al.. (2003). Expression, purification, and isotope labeling of the Fv of the human HIV-1 neutralizing antibody 447-52D for NMR studies. Protein Expression and Purification. 29(2). 291–303. 7 indexed citations
16.
Sharon, Michal, Naama Kessler, Rina Levy, et al.. (2003). Alternative Conformations of HIV-1 V3 Loops Mimic β Hairpins in Chemokines, Suggesting a Mechanism for Coreceptor Selectivity. Structure. 11(2). 225–236. 120 indexed citations
17.
Shakked, Zippora, A. Joseph Kalb, Naama Kessler, et al.. (2002). DNA binding and 3′–5′ exonuclease activity in the murine alternatively-spliced p53 protein. Oncogene. 21(33). 5117–5126. 9 indexed citations
18.
Silberstein, L., et al.. (1999). Expression of ACC oxidase genes differs among sex genotypes and sex phases in cucumber. Plant Molecular Biology. 41(4). 517–528. 44 indexed citations
19.
Perl‐Treves, Daniele, Naama Kessler, David Izhaky, & Lia Addadi. (1996). Monoclonal antibody recognition of cholesterol monohydrate crystal faces. Chemistry & Biology. 3(7). 567–577. 60 indexed citations
20.

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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