Hanoch Senderowitz

3.1k citations
114 papers · 2.5k · h-index 27

Impact in

Papers in

Hanoch Senderowitz

114 papers receiving 2.5k citations

Peers

Hanoch Senderowitz
Comparison fields: 5 of 150
  • Organic Chemistry 655
  • Physiology 84
  • Molecular Biology 1.2k
  • Computational Theory and Mathematics 265
  • Spectroscopy 230
Replace John S. Sack with:
John S. Sack United States
Donna M. Huryn United States
Michael Hennig Switzerland
Alberto Del Río Italy
Masami Otsuka Japan
Petr Kuzmič United States
Geoffrey A. Holdgate United Kingdom
Francesco Leonetti Italy
Jörg Benz Switzerland
Daniel Martinez Molina Sweden
Hanoch Senderowitz relative to John S. Sack United States John S. Sack's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Hanoch Senderowitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hanoch Senderowitz Line = papers co-authored together Hanoch Senderowitz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010154
2 1998149
3 2013134
4 199591
5 199687
6 201381
7 201680
8 201078
9 199761
10 201549
11 201548
12 201245
13 201443
14 199042
15 199442
16 201539
17 201339
18 200735
19 199033
20 200431

About Hanoch Senderowitz

Hanoch Senderowitz is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pulmonary and Respiratory Medicine, Materials Chemistry and Organic Chemistry, having authored 114 papers that have together received 2.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (24 papers), Cystic Fibrosis Research Advances (15 papers), Machine Learning in Materials Science (13 papers), Protein Structure and Dynamics (12 papers), Advanced biosensing and bioanalysis techniques (11 papers), Advanced Chemical Physics Studies (9 papers), Chemical Synthesis and Analysis (7 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Organic Chemistry (655 citations), Physiology (84 citations), Molecular Biology (1.2k citations), Computational Theory and Mathematics (265 citations) and Spectroscopy (230 citations). Hanoch Senderowitz has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include W. Clark Still, Benzion Fuchs, Abraham Yosipof, Netaly Khazanov, Pinchas Aped, Carol A. Parish, Frank Guarnieri, Yael Marantz, Iris Yedidia and Arie Gruzman. Their work appears in journals such as Journal of Chemical Information and Modeling, Molecular Informatics, Journal of Medicinal Chemistry, Journal of the American Chemical Society and Tetrahedron.

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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