Sebla B. Kutluay

2.4k total citations · 1 hit paper
31 papers, 1.7k citations indexed

About

Sebla B. Kutluay is a scholar working on Virology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Sebla B. Kutluay has authored 31 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Virology, 14 papers in Molecular Biology and 13 papers in Infectious Diseases. Recurrent topics in Sebla B. Kutluay's work include HIV Research and Treatment (17 papers), HIV/AIDS drug development and treatment (8 papers) and RNA Research and Splicing (7 papers). Sebla B. Kutluay is often cited by papers focused on HIV Research and Treatment (17 papers), HIV/AIDS drug development and treatment (8 papers) and RNA Research and Splicing (7 papers). Sebla B. Kutluay collaborates with scholars based in United States, Russia and United Kingdom. Sebla B. Kutluay's co-authors include Paul D. Bieniasz, Steven J. Triezenberg, Trinity Zang, Sam J. Wilson, M. Errando, Théodora Hatziioannou, Julia Bitzegeio, John W. Schoggins, Charles M. Rice and Shalini S. Yadav and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Sebla B. Kutluay

31 papers receiving 1.7k citations

Hit Papers

MX2 is an interferon-indu... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sebla B. Kutluay United States 21 899 860 522 504 394 31 1.7k
Rienk E. Jeeninga Netherlands 22 828 0.9× 695 0.8× 307 0.6× 569 1.1× 437 1.1× 45 1.6k
Wade Blair United States 26 1.1k 1.2× 664 0.8× 430 0.8× 1.1k 2.1× 458 1.2× 45 2.1k
Philip R. Tedbury United States 22 628 0.7× 596 0.7× 369 0.7× 444 0.9× 304 0.8× 46 1.5k
Michael W. Cho United States 19 1.1k 1.2× 421 0.5× 715 1.4× 815 1.6× 355 0.9× 36 1.8k
Atsushi Koito Japan 24 1.1k 1.2× 556 0.6× 775 1.5× 574 1.1× 294 0.7× 43 1.8k
Ofir Israeli Israel 13 380 0.4× 600 0.7× 152 0.3× 350 0.7× 333 0.8× 52 1.1k
Christine Goffinet Germany 20 563 0.6× 330 0.4× 580 1.1× 395 0.8× 325 0.8× 41 1.3k
Masashi Tatsumi Japan 18 544 0.6× 335 0.4× 258 0.5× 474 0.9× 148 0.4× 63 1.1k
Aurélie Mousnier United Kingdom 22 338 0.4× 717 0.8× 273 0.5× 458 0.9× 144 0.4× 28 1.4k
Claire Maudet France 12 546 0.6× 511 0.6× 476 0.9× 268 0.5× 251 0.6× 13 1.2k

Countries citing papers authored by Sebla B. Kutluay

Since Specialization
Citations

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

Fields of papers citing papers by Sebla B. Kutluay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sebla B. Kutluay. 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 Sebla B. Kutluay. The network helps show where Sebla B. Kutluay may publish in the future.

Co-authorship network of co-authors of Sebla B. Kutluay

This figure shows the co-authorship network connecting the top 25 collaborators of Sebla B. Kutluay. A scholar is included among the top collaborators of Sebla B. Kutluay 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 Sebla B. Kutluay. Sebla B. Kutluay 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.
Puray‐Chavez, Maritza, Kyle M. LaPak, Jiehong Pan, et al.. (2024). A basally active cGAS-STING pathway limits SARS-CoV-2 replication in a subset of ACE2 positive airway cell models. Nature Communications. 15(1). 8394–8394. 6 indexed citations
2.
Puray‐Chavez, Maritza, et al.. (2024). Calpain-2 mediates SARS-CoV-2 entry via regulating ACE2 levels. mBio. 15(3). e0228723–e0228723. 2 indexed citations
3.
Haddad, Christina, Le Luo, Jesse Davila‐Calderon, et al.. (2021). Amilorides inhibit SARS-CoV-2 replication in vitro by targeting RNA structures. Science Advances. 7(48). eabl6096–eabl6096. 41 indexed citations
4.
Gao, Hongbo, Christian Shema Mugisha, Jack Pengfei Tang, et al.. (2021). CARD8 is an inflammasome sensor for HIV-1 protease activity. Science. 371(6535). 112 indexed citations
5.
Elliott, Jennifer L., Wen Li, Kaneil K. Zadrozny, et al.. (2020). Capsid Lattice Destabilization Leads to Premature Loss of the Viral Genome and Integrase Enzyme during HIV-1 Infection. Journal of Virology. 95(2). 15 indexed citations
6.
Elliott, Jennifer L., Pratibha C. Koneru, Wen Li, et al.. (2020). Integrase-RNA interactions underscore the critical role of integrase in HIV-1 virion morphogenesis. eLife. 9. 29 indexed citations
7.
Mugisha, Christian Shema, et al.. (2019). Clip for studying protein-RNA interactions that regulate virus replication. Methods. 183. 84–92. 7 indexed citations
8.
Williams, Graham D., et al.. (2018). Nucleotide resolution mapping of influenza A virus nucleoprotein-RNA interactions reveals RNA features required for replication. Nature Communications. 9(1). 465–465. 60 indexed citations
9.
Bieniasz, Paul D. & Sebla B. Kutluay. (2018). CLIP-related methodologies and their application to retrovirology. Retrovirology. 15(1). 35–35. 12 indexed citations
10.
Elliott, Jennifer L., et al.. (2017). Allosteric HIV-1 Integrase Inhibitors Lead to Premature Degradation of the Viral RNA Genome and Integrase in Target Cells. Journal of Virology. 91(17). 23 indexed citations
11.
Kessl, Jacques J., Sebla B. Kutluay, Stephanie Rebensburg, et al.. (2016). HIV-1 Integrase Binds the Viral RNA Genome and Is Essential during Virion Morphogenesis. Cell. 166(5). 1257–1268.e12. 94 indexed citations
12.
York, Ashley, Sebla B. Kutluay, M. Errando, & Paul D. Bieniasz. (2016). The RNA Binding Specificity of Human APOBEC3 Proteins Resembles That of HIV-1 Nucleocapsid. PLoS Pathogens. 12(8). e1005833–e1005833. 45 indexed citations
13.
Kutluay, Sebla B. & Paul D. Bieniasz. (2015). Analysis of HIV-1 Gag-RNA Interactions in Cells and Virions by CLIP-seq. Methods in molecular biology. 1354. 119–131. 11 indexed citations
14.
Kutluay, Sebla B., et al.. (2014). Global Changes in the RNA Binding Specificity of HIV-1 Gag Regulate Virion Genesis. Cell. 159(5). 1096–1109. 199 indexed citations
15.
Soll, Steven J., Sam J. Wilson, Sebla B. Kutluay, Théodora Hatziioannou, & Paul D. Bieniasz. (2013). Assisted Evolution Enables HIV-1 to Overcome a High TRIM5α-Imposed Genetic Barrier to Rhesus Macaque Tropism. PLoS Pathogens. 9(9). e1003667–e1003667. 29 indexed citations
16.
Kutluay, Sebla B., David Pérez-Caballero, & Paul D. Bieniasz. (2013). Fates of Retroviral Core Components during Unrestricted and TRIM5-Restricted Infection. PLoS Pathogens. 9(3). e1003214–e1003214. 76 indexed citations
17.
Wilson, Sam J., John W. Schoggins, Trinity Zang, et al.. (2012). Inhibition of HIV-1 Particle Assembly by 2′,3′-Cyclic-Nucleotide 3′-Phosphodiesterase. Cell Host & Microbe. 12(4). 585–597. 47 indexed citations
18.
Kutluay, Sebla B. & Paul D. Bieniasz. (2010). Analysis of the Initiating Events in HIV-1 Particle Assembly and Genome Packaging. PLoS Pathogens. 6(11). e1001200–e1001200. 151 indexed citations
19.
Kutluay, Sebla B. & Steven J. Triezenberg. (2009). Role of chromatin during herpesvirus infections. Biochimica et Biophysica Acta (BBA) - General Subjects. 1790(6). 456–466. 29 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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