Sergei Y. Noskov

6.9k total citations · 1 hit paper
149 papers, 5.4k citations indexed

About

Sergei Y. Noskov is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Sergei Y. Noskov has authored 149 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Molecular Biology, 47 papers in Cardiology and Cardiovascular Medicine and 25 papers in Biomedical Engineering. Recurrent topics in Sergei Y. Noskov's work include Ion channel regulation and function (68 papers), Cardiac electrophysiology and arrhythmias (47 papers) and Lipid Membrane Structure and Behavior (24 papers). Sergei Y. Noskov is often cited by papers focused on Ion channel regulation and function (68 papers), Cardiac electrophysiology and arrhythmias (47 papers) and Lipid Membrane Structure and Behavior (24 papers). Sergei Y. Noskov collaborates with scholars based in Canada, United States and Russia. Sergei Y. Noskov's co-authors include Benoı̂t Roux, Simon Bernèche, Serdar Durdağı, Henry J. Duff, Guillaume Lamoureux, Chunfeng Zhao, D. Peter Tieleman, Bogdan Lev, Van A. Ngo and Carmay Lim and has published in prestigious journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Sergei Y. Noskov

147 papers receiving 5.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Emerging Diversity in Lipid–Protein Interactions

2019 323 citations Valentina Corradi, Besian I. Sejdiu et al. Chemical Reviews profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sergei Y. Noskov Canada	39	3.9k	1.0k	988	756	743	149	5.4k
Toby W. Allen Australia	39	3.7k 1.0×	493 0.5×	772 0.8×	527 0.7×	878 1.2×	72	4.7k
Régis Pomès Canada	45	3.7k 1.0×	223 0.2×	931 0.9×	488 0.6×	1.0k 1.4×	107	5.5k
Morten Ø. Jensen Denmark	31	3.5k 0.9×	239 0.2×	781 0.8×	429 0.6×	776 1.0×	54	4.9k
Anling Kuo Canada	14	5.7k 1.5×	1.7k 1.6×	2.3k 2.3×	623 0.8×	314 0.4×	19	7.0k
Serdar Kuyucak Australia	39	2.8k 0.7×	466 0.5×	667 0.7×	541 0.7×	1.2k 1.6×	150	4.9k
Franklyn G. Prendergast United States	42	4.6k 1.2×	306 0.3×	1.1k 1.1×	811 1.1×	689 0.9×	121	7.2k
Chikashi Toyoshima Japan	47	8.3k 2.1×	1.7k 1.6×	859 0.9×	271 0.4×	536 0.7×	119	10.2k
Philip C. Biggin United Kingdom	43	4.7k 1.2×	194 0.2×	1.2k 1.2×	592 0.8×	463 0.6×	170	6.3k
Mounir Tarek France	45	3.5k 0.9×	441 0.4×	705 0.7×	403 0.5×	1.5k 2.0×	115	6.3k
J. Alfredo Freites United States	24	4.4k 1.1×	260 0.3×	800 0.8×	383 0.5×	832 1.1×	67	5.3k

Countries citing papers authored by Sergei Y. Noskov

Since Specialization

Citations

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

Fields of papers citing papers by Sergei Y. Noskov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergei Y. Noskov. 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 Sergei Y. Noskov. The network helps show where Sergei Y. Noskov may publish in the future.

Co-authorship network of co-authors of Sergei Y. Noskov

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

All Works

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20 of 20 papers shown

Ngo, Van A., María Queralt-Martín, Lucie Bergdoll, et al.. (2022). The Single Residue K12 Governs the Exceptional Voltage Sensitivity of Mitochondrial Voltage-Dependent Anion Channel Gating. Journal of the American Chemical Society. 144(32). 14564–14577. 7 indexed citations

Corradi, Valentina, Anna N. Bukiya, Meng Cui, et al.. (2022). A molecular switch controls the impact of cholesterol on a Kir channel. Proceedings of the National Academy of Sciences. 119(13). e2109431119–e2109431119. 17 indexed citations

Zhekova, Hristina R., Alexander Pushkin, Gülru Kayık, et al.. (2021). Identification of multiple substrate binding sites in SLC4 transporters in the outward-facing conformation: Insights into the transport mechanism. Journal of Biological Chemistry. 296. 100724–100724. 12 indexed citations

Wu, Xiaoan, Marta E. Perez, Sergei Y. Noskov, & H. Peter Larsson. (2021). A general mechanism of KCNE1 modulation of KCNQ1 channels involving non-canonical VSD-PD coupling. Communications Biology. 4(1). 887–887. 5 indexed citations

Wu, Xiaoan, et al.. (2021). A second S4 movement opens hyperpolarization-activated HCN channels. Proceedings of the National Academy of Sciences. 118(37). 12 indexed citations

Corradi, Valentina, et al.. (2021). Identification of PUFA interaction sites on the cardiac potassium channel KCNQ1. The Journal of General Physiology. 153(6). 23 indexed citations

Yang, Pei‐Chi, Kevin R. DeMarco, Parya Aghasafari, et al.. (2020). A Computational Pipeline to Predict Cardiotoxicity. Circulation Research. 126(8). 947–964. 54 indexed citations

Zhekova, Hristina R., Toshie Sakuma, Lukkana Suksanpaisan, et al.. (2020). Mapping of Ion and Substrate Binding Sites in Human Sodium Iodide Symporter (hNIS). Journal of Chemical Information and Modeling. 60(3). 1652–1665. 6 indexed citations

Zhekova, Hristina R., et al.. (2020). Inter-species variation in monovalent anion substrate selectivity and inhibitor sensitivity in the sodium iodide symporter (NIS). PLoS ONE. 15(2). e0229085–e0229085. 13 indexed citations

10.

Hu, Xiaojuan, et al.. (2020). Benchmarking polarizable and non-polarizable force fields for Ca2+–peptides against a comprehensive QM dataset. The Journal of Chemical Physics. 153(14). 144102–144102. 14 indexed citations

11.

MacKerell, Alexander D., et al.. (2020). Assessing hERG1 Blockade from Bayesian Machine-Learning-Optimized Site Identification by Ligand Competitive Saturation Simulations. Journal of Chemical Information and Modeling. 60(12). 6489–6501. 16 indexed citations

12.

Corradi, Valentina, Besian I. Sejdiu, Haleh Abdizadeh, et al.. (2019). Emerging Diversity in Lipid–Protein Interactions. Chemical Reviews. 119(9). 5775–5848. 323 indexed citations breakdown →

13.

Kao, Liyo, Rustam Azimov, Xuesi M. Shao, et al.. (2019). SLC4A11 function: evidence for H⁺(OH⁻) and NH₃-H⁺ transport. American Journal of Physiology-Cell Physiology. 318(2). C392–C405. 17 indexed citations

14.

Wacker, Sören, Jiqing Guo, Ara M. Abramyan, et al.. (2019). Toward Reducing HERG Affinities for Dat Inhibitors with a Combined Machine Learning and Molecular Modeling Approach. Biophysical Journal. 116(3). 562a–562a. 4 indexed citations

15.

Ngo, Van A., et al.. (2018). Molecular Mechanism of Conductance Enhancement in Narrow Cation-Selective Membrane Channels. The Journal of Physical Chemistry Letters. 9(12). 3497–3502. 11 indexed citations

16.

Hoogerheide, David P., Sergei Y. Noskov, Daniel Jacobs, et al.. (2017). Structural features and lipid binding domain of tubulin on biomimetic mitochondrial membranes. Proceedings of the National Academy of Sciences. 114(18). E3622–E3631. 34 indexed citations

17.

Wacker, Sören, Sergei Y. Noskov, & Laura L. Perissinotti. (2017). Computational Models for Understanding of Structure, Function and Pharmacology of the Cardiac Potassium Channel Kv11.1 (hERG). Current Topics in Medicinal Chemistry. 17(23). 2681–2702. 11 indexed citations

18.

Zhao, Chunfeng & Sergei Y. Noskov. (2012). Mechanism of the Alternating Access in Leut-Fold Na+-Coupled Secondary Transporters: A Computational Transition Path Study. Biophysical Journal. 102(3). 606a–606a. 1 indexed citations

19.

Lees‐Miller, James P., Julia Subbotina, Jiqing Guo, et al.. (2009). Interactions of H562 in the S5 Helix with T618 and S621 in the Pore Helix Are Important Determinants of hERG1 Potassium Channel Structure and Function. Biophysical Journal. 96(9). 3600–3610. 33 indexed citations

20.

Noskov, Sergei Y. & Benoı̂t Roux. (2007). Importance of Hydration and Dynamics on the Selectivity of the KcsA and NaK Channels. The Journal of General Physiology. 129(2). 135–143. 168 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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