Orna Chomsky-Hecht

455 citations
9 papers · 370 · h-index 8

Impact in

Papers in

Orna Chomsky-Hecht

9 papers receiving 367 citations

Peers

Orna Chomsky-Hecht
Comparison fields: 5 of 55
  • Cardiology and Cardiovascular Medicine 163
  • Cellular and Molecular Neuroscience 123
  • Molecular Biology 348
  • Cell Biology 45
  • Aging 4
Replace Milit Marom with:
Milit Marom Israel
Diane Van Hoorick Belgium
Carl R. Urbinati United States
Sheu-Fen Lee Canada
Xiaohua Su Japan
D. Pandolfo Italy
Natalya Pashkova United States
Arthur T. Coulton United Kingdom
Thein Z. Win United Kingdom
Lynn Kimlicka Canada
Orna Chomsky-Hecht relative to Milit Marom Israel Milit Marom's profile →
Citations per field
00.5×2.7×
Milit Marom · 1×
Citations per year

Countries citing papers authored by Orna Chomsky-Hecht

Since Specialization
Citations

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

Fields of papers citing papers by Orna Chomsky-Hecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Orna Chomsky-Hecht. 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 Orna Chomsky-Hecht. The network helps show where Orna Chomsky-Hecht may publish in the future.

Co-authors

The 25 scholars most cited alongside Orna Chomsky-Hecht, 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 Orna Chomsky-Hecht Line = papers co-authored together Orna Chomsky-Hecht links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2007111
2 200376
3 200855
4 202047
5 201229
6 200621
7 202116
8 20128
9 20047

About Orna Chomsky-Hecht

Orna Chomsky-Hecht is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Materials Chemistry and Pharmacology, having authored 9 papers that have together received 370 indexed citations. Recurring topics across this work include Ion channel regulation and function (6 papers), Cardiac electrophysiology and arrhythmias (5 papers), Neuroscience and Neural Engineering (2 papers), Enzyme Structure and Function (2 papers), Protein Structure and Dynamics (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper), Plant biochemistry and biosynthesis (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (163 citations), Cellular and Molecular Neuroscience (123 citations), Molecular Biology (348 citations), Cell Biology (45 citations) and Aging (4 citations). Orna Chomsky-Hecht has collaborated with scholars based in Israel, United States and Spain. Frequent co-authors include Joel A. Hirsch, Yarden Opatowsky, Myoung‐Goo Kang, Kevin P. Campbell, Germán Rivas, M. Carmen Fernández‐Alonso, Reuven Wiener, Ariadna Martos, Yoni Haitin and Bernard Attali. Their work appears in journals such as Journal of Biological Chemistry, Channels, Journal of Neuroscience, Nature Communications and FEBS Letters.

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.

Explore authors with similar magnitude of impact