Olga Safrina

5.3k total citations · 3 hit papers
16 papers, 4.4k citations indexed

About

Olga Safrina is a scholar working on Sensory Systems, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Olga Safrina has authored 16 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sensory Systems, 7 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Olga Safrina's work include Ion Channels and Receptors (9 papers), Ion channel regulation and function (6 papers) and Phytochemicals and Antioxidant Activities (3 papers). Olga Safrina is often cited by papers focused on Ion Channels and Receptors (9 papers), Ion channel regulation and function (6 papers) and Phytochemicals and Antioxidant Activities (3 papers). Olga Safrina collaborates with scholars based in United States, Russia and France. Olga Safrina's co-authors include Michael D. Cahalan, Andriy V. Yeromin, Shenyuan L. Zhang, Jack Roos, Kenneth A. Stauderman, Ian Parker, Aubin Penna, J. Ashot Kozak, Maria Lioudyno and Ying Yu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Olga Safrina

16 papers receiving 4.4k citations

Hit Papers

STIM1, an essential and conserved component of store-oper... 2005 2026 2012 2019 2005 2006 2006 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olga Safrina United States 14 2.9k 1.8k 1.4k 959 755 16 4.4k
Shenyuan L. Zhang United States 21 3.1k 1.0× 1.9k 1.1× 1.5k 1.1× 504 0.5× 873 1.2× 25 4.3k
Monika Vig United States 15 2.3k 0.8× 1.3k 0.7× 1.0k 0.8× 866 0.9× 677 0.9× 20 3.4k
Andriy V. Yeromin United States 13 3.1k 1.1× 1.8k 1.0× 1.5k 1.1× 451 0.5× 871 1.2× 17 4.0k
Jen Liou United States 24 2.7k 0.9× 3.3k 1.8× 1.3k 1.0× 897 0.9× 657 0.9× 34 5.7k
Sonal Srikanth United States 29 4.0k 1.4× 2.9k 1.6× 1.9k 1.4× 1.2k 1.2× 1.1k 1.4× 52 6.3k
Jack Roos United States 23 3.0k 1.0× 3.2k 1.8× 2.1k 1.5× 619 0.6× 728 1.0× 36 6.0k
Jeremy T. Smyth United States 25 2.1k 0.7× 1.6k 0.9× 1.1k 0.8× 253 0.3× 600 0.8× 39 3.4k
Jason W. Myers United States 16 1.6k 0.5× 2.0k 1.1× 899 0.7× 335 0.3× 368 0.5× 22 3.4k
Wayne I. DeHaven United States 16 2.0k 0.7× 1.2k 0.6× 982 0.7× 271 0.3× 568 0.8× 18 2.7k
Joshua T. Jones United States 14 1.6k 0.5× 1.7k 1.0× 678 0.5× 271 0.3× 368 0.5× 27 3.1k

Countries citing papers authored by Olga Safrina

Since Specialization
Citations

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

Fields of papers citing papers by Olga Safrina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Safrina

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

All Works

16 of 16 papers shown
1.
Pham, An T., Jonathan Neumann, Olga Safrina, et al.. (2021). Interneuron Dysfunction in a New Mouse Model of SCN1A GEFS+. eNeuro. 8(2). ENEURO.0394–20.2021. 15 indexed citations
2.
Ng, Nathan, Olga Safrina, Kevin C. Ess, et al.. (2019). Comparisons of dual isogenic human iPSC pairs identify functional alterations directly caused by an epilepsy associated SCN1A mutation. Neurobiology of Disease. 134. 104627–104627. 27 indexed citations
3.
Safrina, Olga, et al.. (2014). State-dependent block of Orai3 TM1 and TM3 cysteine mutants: Insights into 2-APB activation. The Journal of General Physiology. 143(5). 621–631. 21 indexed citations
4.
Safrina, Olga, et al.. (2013). Orai3 TM3 point mutation G158C alters kinetics of 2-APB–induced gating by disulfide bridge formation with TM2 C101. The Journal of General Physiology. 142(4). 405–412. 18 indexed citations
5.
Demuro, Angelo, Aubin Penna, Olga Safrina, et al.. (2011). Subunit stoichiometry of human Orai1 and Orai3 channels in closed and open states. Proceedings of the National Academy of Sciences. 108(43). 17832–17837. 75 indexed citations
6.
Yu, Ying, Steve H. Keller, Carmelle V. Remillard, et al.. (2009). A Functional Single-Nucleotide Polymorphism in the TRPC6 Gene Promoter Associated With Idiopathic Pulmonary Arterial Hypertension. Circulation. 119(17). 2313–2322. 151 indexed citations
7.
Lioudyno, Maria, J. Ashot Kozak, Aubin Penna, et al.. (2008). Orai1 and STIM1 move to the immunological synapse and are up-regulated during T cell activation. Proceedings of the National Academy of Sciences. 105(6). 2011–2016. 215 indexed citations
8.
Penna, Aubin, Angelo Demuro, Andriy V. Yeromin, et al.. (2008). The CRAC channel consists of a tetramer formed by Stim-induced dimerization of Orai dimers. Nature. 456(7218). 116–120. 308 indexed citations
9.
Matheu, Melanie P., Christine Beeton, Adriana Garcia, et al.. (2008). Imaging of Effector Memory T Cells during a Delayed-Type Hypersensitivity Reaction and Suppression by Kv1.3 Channel Block. Immunity. 29(4). 602–614. 167 indexed citations
10.
Yu, Ying, Oleksandr Platoshyn, Olga Safrina, et al.. (2007). Cystic fibrosis transmembrane conductance regulator (CFTR) functionality is dependent on coatomer protein I (COPI). Biology of the Cell. 99(8). 433–444. 4 indexed citations
11.
Yu, Ying, Olga Safrina, Oleksandr Platoshyn, et al.. (2007). Abstract 379: Enhancement of TRPC6-mediated Ca 2+ Entry in Pulmonary Artery Smooth Muscle Cells of Idiopathic Pulmonary Arterial Hypertension Patients. Circulation. 116(suppl_16). 1 indexed citations
12.
Wei, Sindy H., Olga Safrina, Ying Yu, et al.. (2007). Ca2+ Signals in CD4+ T Cells during Early Contacts with Antigen-Bearing Dendritic Cells in Lymph Node. The Journal of Immunology. 179(3). 1586–1594. 74 indexed citations
13.
Yeromin, Andriy V., Shenyuan L. Zhang, Weihua Jiang, et al.. (2006). Molecular identification of the CRAC channel by altered ion selectivity in a mutant of Orai. Nature. 443(7108). 226–229. 670 indexed citations breakdown →
14.
Zhang, Shenyuan L., Andriy V. Yeromin, Xiang H.-F. Zhang, et al.. (2006). Genome-wide RNAi screen of Ca 2+ influx identifies genes that regulate Ca 2+ release-activated Ca 2+ channel activity. Proceedings of the National Academy of Sciences. 103(24). 9357–9362. 714 indexed citations breakdown →
15.
Roos, Jack, Paul J. DiGregorio, Andriy V. Yeromin, et al.. (2005). STIM1, an essential and conserved component of store-operated Ca2 + channel function. The Journal of Cell Biology. 169(3). 435–445. 1506 indexed citations breakdown →
16.
Miller, Mark J., Olga Safrina, Ian Parker, & Michael D. Cahalan. (2004). Imaging the Single Cell Dynamics of CD4+ T Cell Activation by Dendritic Cells in Lymph Nodes. The Journal of Experimental Medicine. 200(7). 847–856. 448 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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