Yoni Haitin

1.5k total citations
40 papers, 1.1k citations indexed

About

Yoni Haitin is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yoni Haitin has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 18 papers in Cardiology and Cardiovascular Medicine and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yoni Haitin's work include Ion channel regulation and function (21 papers), Cardiac electrophysiology and arrhythmias (18 papers) and Neuroscience and Neuropharmacology Research (12 papers). Yoni Haitin is often cited by papers focused on Ion channel regulation and function (21 papers), Cardiac electrophysiology and arrhythmias (18 papers) and Neuroscience and Neuropharmacology Research (12 papers). Yoni Haitin collaborates with scholars based in Israel, United States and Czechia. Yoni Haitin's co-authors include Bernard Attali, Asher Peretz, William N. Zagotta, Joel A. Hirsch, Reuven Wiener, Anne E. Carlson, Olaf Pongs, Moshe Giladi, Lijuan Ma and Nicole Schmitt and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Yoni Haitin

37 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoni Haitin Israel 19 1.1k 713 511 53 43 40 1.1k
Nazzareno D’Avanzo Canada 16 718 0.7× 205 0.3× 401 0.8× 44 0.8× 31 0.7× 27 820
Yuji Hirano Japan 22 873 0.8× 808 1.1× 376 0.7× 13 0.2× 22 0.5× 67 1.3k
Stefano Longoni Switzerland 11 1.1k 1.0× 445 0.6× 374 0.7× 32 0.6× 41 1.0× 13 1.2k
Motohiko Nishida Japan 7 689 0.7× 244 0.3× 266 0.5× 33 0.6× 22 0.5× 8 787
Corey L. Anderson United States 17 1.3k 1.2× 1.1k 1.6× 307 0.6× 79 1.5× 16 0.4× 35 1.4k
Ching‐Chieh Tung Canada 10 531 0.5× 370 0.5× 151 0.3× 13 0.2× 32 0.7× 11 628
M S Kirby United Kingdom 14 662 0.6× 504 0.7× 280 0.5× 88 1.7× 25 0.6× 21 905
J.O. Bustamante United States 19 847 0.8× 436 0.6× 333 0.7× 25 0.5× 17 0.4× 31 1.1k
Tinatin I. Brelidze United States 13 542 0.5× 326 0.5× 283 0.6× 13 0.2× 35 0.8× 28 644
John P. Imredy United States 15 784 0.7× 480 0.7× 467 0.9× 48 0.9× 42 1.0× 29 900

Countries citing papers authored by Yoni Haitin

Since Specialization
Citations

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

Fields of papers citing papers by Yoni Haitin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoni Haitin

This figure shows the co-authorship network connecting the top 25 collaborators of Yoni Haitin. A scholar is included among the top collaborators of Yoni Haitin 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 Yoni Haitin. Yoni Haitin 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.
2.
Sarig, Ofer, Moshe Giladi, Rotem Rubinstein, et al.. (2025). Pathogenic variants affecting peptidyl arginine deiminase 3 and its major substrates underlie central centrifugal cicatricial alopecia. Journal of Investigative Dermatology.
3.
Zaidel‐Bar, Ronen, et al.. (2024). Chloride intracellular channel (CLIC) proteins function as fusogens. Nature Communications. 15(1). 2085–2085. 6 indexed citations
4.
Brusel, Marina, Yoav Peleg, Moshe Giladi, et al.. (2024). Complex biophysical changes and reduced neuronal firing in an SCN8A variant associated with developmental delay and epilepsy. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(5). 167127–167127. 2 indexed citations
5.
6.
Shelef, Omri, Sara Gutkin, Michal Mandelboim, et al.. (2022). Ultrasensitive chemiluminescent neuraminidase probe for rapid screening and identification of small-molecules with antiviral activity against influenza A virus in mammalian cells. Chemical Science. 13(42). 12348–12357. 29 indexed citations
7.
Kalaninová, Z., et al.. (2022). TTYH family members form tetrameric complexes at the cell membrane. Communications Biology. 5(1). 886–886. 6 indexed citations
8.
Giladi, Moshe, et al.. (2022). Structural basis for long-chain isoprenoid synthesis by cis -prenyltransferases. Science Advances. 8(20). eabn1171–eabn1171. 6 indexed citations
9.
Heinrich, Ronit, Tali Garin-Shkolnik, Tova Hershkovitz, et al.. (2021). Two de novo GluN2B mutations affect multiple NMDAR-functions and instigate severe pediatric encephalopathy. eLife. 10. 12 indexed citations
10.
Giladi, Moshe, et al.. (2020). Structure of KCNH2 cyclic nucleotide-binding homology domain reveals a functionally vital salt-bridge. The Journal of General Physiology. 152(4). 5 indexed citations
11.
Marom, Milit, et al.. (2018). Inherent flexibility of CLIC6 revealed by crystallographic and solution studies. Scientific Reports. 8(1). 6882–6882. 15 indexed citations
12.
Kapelushnik, Noa, Milit Marom, Anat Loewenstein, et al.. (2018). Reduced Activity of Geranylgeranyl Diphosphate Synthase Mutant Is Involved in Bisphosphonate-Induced Atypical Fractures. Molecular Pharmacology. 94(6). 1391–1400. 12 indexed citations
13.
Tobelaim, William S., Meng Cui, Asher Peretz, et al.. (2017). Competition of calcified calmodulin N lobe and PIP 2 to an LQT mutation site in Kv7.1 channel. Proceedings of the National Academy of Sciences. 114(5). E869–E878. 41 indexed citations
14.
Giladi, Moshe, et al.. (2017). Purification and characterization of human dehydrodolychil diphosphate synthase (DHDDS) overexpressed in E. coli. Protein Expression and Purification. 132. 138–142. 9 indexed citations
15.
Giladi, Moshe, et al.. (2017). The Crystal Structure and Conformations of an Unbranched Mixed Tri-Ubiquitin Chain Containing K48 and K63 Linkages. Journal of Molecular Biology. 429(24). 3801–3813. 3 indexed citations
16.
Newman, Hadas, et al.. (2017). Overexpression and Purification of Human <em>Cis</em>-prenyltransferase in <em>Escherichia coli</em>. Journal of Visualized Experiments. 4 indexed citations
17.
Haitin, Yoni, Anne E. Carlson, & William N. Zagotta. (2013). The structural mechanism of KCNH-channel regulation by the eag domain. Nature. 501(7467). 444–448. 84 indexed citations
18.
Haitin, Yoni, et al.. (2008). KCNE1 Constrains the Voltage Sensor of Kv7.1 K+ Channels. PLoS ONE. 3(4). e1943–e1943. 35 indexed citations
19.
Wiener, Reuven, Yoni Haitin, M. Carmen Fernández‐Alonso, et al.. (2007). The KCNQ1 (Kv7.1) COOH Terminus, a Multitiered Scaffold for Subunit Assembly and Protein Interaction. Journal of Biological Chemistry. 283(9). 5815–5830. 111 indexed citations
20.
Ma, Lijuan, Nicole Schmitt, Yoni Haitin, et al.. (2006). Calmodulin Is Essential for Cardiac I KS Channel Gating and Assembly. Circulation Research. 98(8). 1055–1063. 170 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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