Ilya Khaytin

765 total citations
9 papers, 538 citations indexed

About

Ilya Khaytin is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Environmental Chemistry. According to data from OpenAlex, Ilya Khaytin has authored 9 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Environmental Chemistry. Recurrent topics in Ilya Khaytin's work include Ion channel regulation and function (7 papers), Nicotinic Acetylcholine Receptors Study (5 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Ilya Khaytin is often cited by papers focused on Ion channel regulation and function (7 papers), Nicotinic Acetylcholine Receptors Study (5 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Ilya Khaytin collaborates with scholars based in United States and Australia. Ilya Khaytin's co-authors include Michael W. Pennington, George H. Crossley, Daniel Nugent, K. George Chandy, Peter A. Calabresi, William R. Kem, Vladimir M. Mahnir, Christine Beeton, Satendra Singh and Heike Wulff and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Ilya Khaytin

9 papers receiving 522 citations

Peers

Ilya Khaytin

MB

GENET

CCM

PALEO

IMMUN

Sylvaine Gasparini France

Daniel Nugent United States

Jean-Marc Danse France

Min-Min Zhang United States

Ignacio Torrecilla United Kingdom

Peng Leong Canada

Ernesto Crescenti Argentina

Tim Whalley United Kingdom

Gabriella De Renzis Italy

W.W. de Jong Netherlands

Sylvaine Gasparini France

Ilya Khaytin

544 ×1.3

MB

231 ×1.7

GENET

47 ×0.6

CCM

34 ×0.4

PALEO

36 ×0.5

IMMUN

Citations per year, relative to Ilya Khaytin Ilya Khaytin (= 1×) peers Sylvaine Gasparini

Countries citing papers authored by Ilya Khaytin

Since Specialization

Citations

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

Fields of papers citing papers by Ilya Khaytin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilya Khaytin

This figure shows the co-authorship network connecting the top 25 collaborators of Ilya Khaytin. A scholar is included among the top collaborators of Ilya Khaytin 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 Ilya Khaytin. Ilya Khaytin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Rangaraju, Srikant, Keith K. Khoo, Zhiping Feng, et al.. (2010). Potassium Channel Modulation by A Toxin Domain in Matrix Metalloprotease 23. Biophysical Journal. 98(3). 212a–212a. 6 indexed citations

2.

Rangaraju, Srikant, Keith K. Khoo, George H. Crossley, et al.. (2009). Potassium Channel Modulation by a Toxin Domain in Matrix Metalloprotease 23. Journal of Biological Chemistry. 285(12). 9124–9136. 65 indexed citations

3.

Beeton, Christine, Brian J. Smith, Jennifer K. Sabo, et al.. (2007). The D-Diastereomer of ShK Toxin Selectively Blocks Voltage-gated K+ Channels and Inhibits T Lymphocyte Proliferation. Journal of Biological Chemistry. 283(2). 988–997. 46 indexed citations

4.

Beeton, Christine, Michael W. Pennington, Heike Wulff, et al.. (2005). Targeting Effector Memory T Cells with a Selective Peptide Inhibitor of Kv1.3 Channels for Therapy of Autoimmune Diseases. Molecular Pharmacology. 67(4). 1369–1381. 212 indexed citations

5.

Singh, Satendra, et al.. (2002). Addition ofo-aminobenzoic acid during Fmoc solid phase synthesis of a fluorogenic substrate containing 3-nitrotyrosine. International Journal of Peptide Research and Therapeutics. 9(4-5). 221–225. 2 indexed citations

6.

Pennington, Michael W., et al.. (1996). Identification of Three Separate Binding Sites on SHK Toxin, a Potent Inhibitor of Voltage-Dependent Potassium Channels in Human T-Lymphocytes and Rat Brain. Biochemical and Biophysical Research Communications. 219(3). 696–701. 55 indexed citations

7.

Pennington, Michael W., et al.. (1996). An Essential Binding Surface for ShK Toxin Interaction with Rat Brain Potassium Channels. Biochemistry. 35(51). 16407–16411. 61 indexed citations

8.

Kem, William R., Michael W. Pennington, Vladimir M. Mahnir, et al.. (1996). Identification of essential residues in the potassium channel inhibitor ShK toxin: analysis of monosubstituted analogs. Toxicon. 34(3). 300–300. 4 indexed citations

9.

Pennington, Michael W., Ilya Khaytin, D S Krafte, et al.. (1995). Chemical synthesis and characterization of ShK toxin: a potent potassium channel inhibitor from a sea anemone. International journal of peptide & protein research. 46(5). 354–358. 87 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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