Hanoch Senderowitz

3.0k citations
110 papers · 2.3k · h-index 26

Impact in

Papers in

Hanoch Senderowitz

108 papers receiving 2.3k citations

Peers

Hanoch Senderowitz
Comparison fields: 5 of 141
  • Organic Chemistry 631
  • Physiology 85
  • Molecular Biology 1.2k
  • Computational Theory and Mathematics 246
  • Spectroscopy 216
Replace Eugene L. Stewart with:
Eugene L. Stewart United States
Thomas Lundbäck Sweden
Alberto Del Río Italy
Michael Hennig Switzerland
John S. Sack United States
Petr Kuzmič United States
Masami Otsuka Japan
Geoffrey A. Holdgate United Kingdom
Donna M. Huryn United States
Alexander Hillisch Germany
Hanoch Senderowitz relative to Eugene L. Stewart United States Eugene L. Stewart's profile →
Citations per field
00.5×1.5×2.5×
Eugene L. Stewart · 1×
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 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010143
2 1998138
3 2013127
4 199588
5 199684
6 201380
7 201073
8 201665
9 199759
10 201547
11 201545
12 201242
13 201442
14 199440
15 201338
16 199038
17 201535
18 200734
19 199032
20 200929

About Hanoch Senderowitz

Hanoch Senderowitz is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pulmonary and Respiratory Medicine, Organic Chemistry and Materials Chemistry, having authored 110 papers that have together received 2.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (22 papers), Cystic Fibrosis Research Advances (15 papers), Machine Learning in Materials Science (12 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 (631 citations), Physiology (85 citations), Molecular Biology (1.2k citations), Computational Theory and Mathematics (246 citations) and Spectroscopy (216 citations). Hanoch Senderowitz has collaborated with scholars based in Israel, United States and United Kingdom. Frequent 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. Their work appears in journals such as Journal of Chemical Information and Modeling, Molecular Informatics, Journal of Medicinal Chemistry, Tetrahedron and Journal of the American Chemical Society.

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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