Roman Sloutsky

736 total citations
12 papers, 506 citations indexed

About

Roman Sloutsky is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Roman Sloutsky has authored 12 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 1 paper in Pharmacology. Recurrent topics in Roman Sloutsky's work include RNA and protein synthesis mechanisms (5 papers), Signaling Pathways in Disease (2 papers) and Mitochondrial Function and Pathology (2 papers). Roman Sloutsky is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Signaling Pathways in Disease (2 papers) and Mitochondrial Function and Pathology (2 papers). Roman Sloutsky collaborates with scholars based in United States, Italy and Japan. Roman Sloutsky's co-authors include Kristen M. Naegle, Yongcheol Cho, Valeria Cavalli, Svetlana Gerdes, Oleg V. Kurnasov, Andrei L. Osterman, Margaret M. Stratton, Annie Tam, Zhijie Qi and S. Joshua Swamidass and has published in prestigious journals such as Cell, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Roman Sloutsky

12 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roman Sloutsky United States	8	318	202	83	40	37	12	506
Kai Yao China	15	666 2.1×	135 0.7×	59 0.7×	102 2.5×	99 2.7×	61	967
Marylens Hernandez United States	9	415 1.3×	112 0.6×	120 1.4×	25 0.6×	106 2.9×	12	639
Shiho Ohmori Japan	8	368 1.2×	124 0.6×	21 0.3×	19 0.5×	96 2.6×	17	487
Sammy Weiser Novak United States	8	359 1.1×	73 0.4×	34 0.4×	8 0.2×	64 1.7×	17	694
Shumin Wu United States	12	495 1.6×	68 0.3×	46 0.6×	79 2.0×	45 1.2×	29	753
Ayse Sahaboglu Germany	17	1.0k 3.2×	269 1.3×	9 0.1×	43 1.1×	77 2.1×	25	1.2k
Alan S.L. Wong Hong Kong	14	654 2.1×	143 0.7×	50 0.6×	117 2.9×	59 1.6×	31	930
Chun-Fang Huang Taiwan	8	250 0.8×	110 0.5×	46 0.6×	22 0.6×	230 6.2×	9	476
Boris Brenerman United States	7	305 1.0×	119 0.6×	10 0.1×	27 0.7×	31 0.8×	7	406

Countries citing papers authored by Roman Sloutsky

Since Specialization

Citations

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

Fields of papers citing papers by Roman Sloutsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Sloutsky

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

All Works

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12 of 12 papers shown

Sloutsky, Roman, Christl Gaubitz, Edward A. Esposito, et al.. (2022). CaMKII binds both substrates and activators at the active site. Cell Reports. 40(2). 111064–111064. 18 indexed citations

Sloutsky, Roman & Margaret M. Stratton. (2020). Functional implications of CaMKII alternative splicing. European Journal of Neuroscience. 54(8). 6780–6794. 21 indexed citations

Sloutsky, Roman, et al.. (2020). Heterogeneity in human hippocampal CaMKII transcripts reveals allosteric hub-dependent regulation. Science Signaling. 13(641). 28 indexed citations

Sloutsky, Roman & Kristen M. Naegle. (2019). ASPEN, a methodology for reconstructing protein evolution with improved accuracy using ensemble models. eLife. 8. 4 indexed citations

Qi, Zhijie, et al.. (2018). OpenEnsembles: A Python Resource for Ensemble Clustering. Journal of Machine Learning Research. 19(26). 1–6. 36 indexed citations

Sloutsky, Roman & Kristen M. Naegle. (2017). Proteome-Level Analysis Indicates Global Mechanisms for Post-Translational Regulation of RRM Domains. Journal of Molecular Biology. 430(1). 41–44. 5 indexed citations

Sloutsky, Roman & Kristen M. Naegle. (2016). High-Resolution Identification of Specificity Determining Positions in the LacI Protein Family Using Ensembles of Sub-Sampled Alignments. PLoS ONE. 11(9). e0162579–e0162579. 6 indexed citations

Cho, Yongcheol, Roman Sloutsky, Kristen M. Naegle, & Valeria Cavalli. (2013). Injury-Induced HDAC5 Nuclear Export Is Essential for Axon Regeneration. Cell. 155(4). 894–908. 248 indexed citations

Sloutsky, Roman, et al.. (2012). Accounting for noise when clustering biological data. Briefings in Bioinformatics. 14(4). 423–436. 20 indexed citations

10.

Gerdes, Svetlana, Oleg V. Kurnasov, Konstantin Shatalin, et al.. (2006). Comparative Genomics of NAD Biosynthesis in Cyanobacteria. Journal of Bacteriology. 188(8). 3012–3023. 41 indexed citations

11.

Kurnasov, Oleg V., et al.. (2003). Ribosylnicotinamide Kinase Domain of NadR Protein: Identification and Implications in NAD Biosynthesis. Journal of Bacteriology. 185(2). 698–698. 6 indexed citations

12.

Kurnasov, Oleg V., et al.. (2002). Ribosylnicotinamide Kinase Domain of NadR Protein: Identification and Implications in NAD Biosynthesis. Journal of Bacteriology. 184(24). 6906–6917. 73 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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