Hanoch Senderowitz

3.0k total citations
110 papers, 2.3k citations indexed

About

Hanoch Senderowitz is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hanoch Senderowitz has authored 110 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 22 papers in Computational Theory and Mathematics and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hanoch Senderowitz's work include Computational Drug Discovery Methods (22 papers), Cystic Fibrosis Research Advances (15 papers) and Protein Structure and Dynamics (12 papers). Hanoch Senderowitz is often cited by papers focused on Computational Drug Discovery Methods (22 papers), Cystic Fibrosis Research Advances (15 papers) and Protein Structure and Dynamics (12 papers). Hanoch Senderowitz collaborates with scholars based in Israel, United States and United Kingdom. Hanoch Senderowitz's co-authors include W. Clark Still, Benzion Fuchs, Netaly Khazanov, Pinchas Aped, Abraham Yosipof, Carol A. Parish, Frank Guarnieri, Yael Marantz, Iris Yedidia and Arie Gruzman and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Hanoch Senderowitz

108 papers receiving 2.3k citations

Peers

Hanoch Senderowitz
John S. Sack United States
Jörg Benz Switzerland
Pieter F. W. Stouten United States
Linda Y. Zhang United States
Paul A. Rejto United States
John S. Sack United States
Hanoch Senderowitz
Citations per year, relative to Hanoch Senderowitz Hanoch Senderowitz (= 1×) peers John S. Sack

Countries citing papers authored by Hanoch Senderowitz

Since Specialization
Citations

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

Fields of papers citing papers by Hanoch Senderowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanoch Senderowitz

This figure shows the co-authorship network connecting the top 25 collaborators of Hanoch Senderowitz. A scholar is included among the top collaborators of Hanoch Senderowitz 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 Hanoch Senderowitz. Hanoch Senderowitz 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.
Khazanov, Netaly, et al.. (2023). Inhibition of AcrAB-TolC enhances antimicrobial activity of phytochemicals in Pectobacterium brasiliense. Frontiers in Plant Science. 14. 1161702–1161702. 3 indexed citations
2.
Radović, Iva Bogdanović, Pasi Jalkanen, Kenichiro Mizohata, et al.. (2022). Toward Developing Techniques─Agnostic Machine Learning Classification Models for Forensically Relevant Glass Fragments. Journal of Chemical Information and Modeling. 63(1). 87–100. 2 indexed citations
3.
Radović, Iva Bogdanović, Pasi Jalkanen, Kenichiro Mizohata, et al.. (2022). Inter-laboratory workflow for forensic applications: Classification of car glass fragments. Forensic Science International. 333. 111216–111216. 5 indexed citations
4.
Sabusap, Carleen Mae P., Disha Joshi, Kathryn E. Oliver, et al.. (2021). The CFTR P67L variant reveals a key role for N-terminal lasso helices in channel folding, maturation, and pharmacologic rescue. Journal of Biological Chemistry. 296. 100598–100598. 21 indexed citations
5.
Sarouk, Ifat, Hanoch Senderowitz, Malena Cohen‐Cymberknoh, et al.. (2020). Phenotypic and molecular characteristics of CF patients carrying the I1234V mutation. Respiratory Medicine. 170. 106027–106027. 3 indexed citations
6.
Kahremany, Shirin, et al.. (2019). Nrf2 Activation by SK-119 Attenuates Oxidative Stress, UVB, and LPS-Induced Damage. Skin Pharmacology and Physiology. 32(4). 173–181. 16 indexed citations
7.
Margalit, Raanan, Shirin Kahremany, Laura M. Levy, et al.. (2019). Novel inhibitors of leukocyte transendothelial migration. Bioorganic Chemistry. 92. 103250–103250. 22 indexed citations
8.
Yang, Zhengrong, Ellen Hildebrandt, Andrei A. Aleksandrov, et al.. (2018). Structural stability of purified human CFTR is systematically improved by mutations in nucleotide binding domain 1. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1860(5). 1193–1204. 14 indexed citations
9.
Kakhlon, Or, Igor Monteze Ferreira, Leonardo J. Solmesky, et al.. (2018). Guaiacol as a drug candidate for treating adult polyglucosan body disease. JCI Insight. 3(17). 29 indexed citations
10.
Ortuso, Francesco, Donatella Bagetta, Annalisa Maruca, et al.. (2018). The Mu.Ta.Lig. Chemotheca: A Community-Populated Molecular Database for Multi-Target Ligands Identification and Compound-Repurposing. Frontiers in Chemistry. 6. 130–130. 13 indexed citations
11.
Joshi, Janak Raj, Netaly Khazanov, Hanoch Senderowitz, et al.. (2016). Plant phenolic volatiles inhibit quorum sensing in pectobacteria and reduce their virulence by potential binding to ExpI and ExpR proteins. Scientific Reports. 6(1). 38126–38126. 65 indexed citations
12.
Momić, Tatjana, J. Katzhendler, Ela Shai, et al.. (2015). Vipegitide: a folded peptidomimetic partial antagonist of α2β1 integrin with antiplatelet aggregation activity. SHILAP Revista de lepidopterología. 3 indexed citations
13.
Gilad, Yossi, et al.. (2015). Synthesis, biological studies and molecular dynamics of new anticancer RGD-based peptide conjugates for targeted drug delivery. Bioorganic & Medicinal Chemistry. 24(2). 294–303. 47 indexed citations
14.
Senderowitz, Hanoch, et al.. (2011). Combating Cystic Fibrosis: In Search for CF Transmembrane Conductance Regulator (CFTR) Modulators. ChemMedChem. 6(2). 243–251. 6 indexed citations
15.
Kalid, Ori, Martin Mense, Sharon Fischman, et al.. (2010). Small molecule correctors of F508del-CFTR discovered by structure-based virtual screening. Journal of Computer-Aided Molecular Design. 24(12). 971–991. 73 indexed citations
16.
Stempler, Shiri, Michal Levy‐Sakin, Anat Frydman‐Marom, et al.. (2010). Quantitative structure–activity relationship analysis of β-amyloid aggregation inhibitors. Journal of Computer-Aided Molecular Design. 25(2). 135–144. 5 indexed citations
17.
Rayan, Anwar, Hanoch Senderowitz, & Amiram Goldblum. (2004). Exploring the conformational space of cyclic peptides by a stochastic search method. Journal of Molecular Graphics and Modelling. 22(5). 319–333. 28 indexed citations
18.
Senderowitz, Hanoch, Carol A. Parish, & W. Clark Still. (1996). Carbohydrates:  United Atom AMBER* Parameterization of Pyranoses and Simulations Yielding Anomeric Free Energies. Journal of the American Chemical Society. 118(8). 2078–2086. 84 indexed citations
19.
Senderowitz, Hanoch, Pinchas Aped, & Benzion Fuchs. (1993). Computation of O-C-F and N-C-F systems: AB-initio calculations and a MM2 parameterization study. Theory vs. experiment. Tetrahedron. 49(18). 3879–3898. 25 indexed citations
20.
Senderowitz, Hanoch, et al.. (1989). Conformational energy and entropy differences of the t-butoxy group and implications in stereochemistry and stereoelectronics. Tetrahedron Letters. 30(48). 6765–6768. 4 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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