Serafima Guseva

959 total citations
15 papers, 491 citations indexed

About

Serafima Guseva is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Serafima Guseva has authored 15 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Infectious Diseases and 4 papers in Epidemiology. Recurrent topics in Serafima Guseva's work include RNA and protein synthesis mechanisms (7 papers), RNA Research and Splicing (5 papers) and Virology and Viral Diseases (4 papers). Serafima Guseva is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), RNA Research and Splicing (5 papers) and Virology and Viral Diseases (4 papers). Serafima Guseva collaborates with scholars based in France, United States and India. Serafima Guseva's co-authors include Martin Blackledge, Rob W. H. Ruigrok, Malene Ringkjøbing Jensen, Sigrid Milles, Damien Maurin, Nicola Salvi, Jean-Philippe Kleman, Aldo R. Camacho‐Zarco, Luiza M. Bessa and Guy Schoehn and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Serafima Guseva

15 papers receiving 486 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Serafima Guseva France	10	333	120	101	73	61	15	491
Célia Caillet‐Saguy France	16	333 1.0×	138 1.1×	108 1.1×	16 0.2×	29 0.5×	27	583
Zhenguo Chen China	13	260 0.8×	115 1.0×	54 0.5×	185 2.5×	40 0.7×	35	508
Rei Matsuoka Japan	12	269 0.8×	148 1.2×	161 1.6×	22 0.3×	40 0.7×	14	595
Elise Delaforge France	10	283 0.8×	74 0.6×	142 1.4×	20 0.3×	96 1.6×	17	437
Yasuyuki Miyazaki Japan	13	305 0.9×	112 0.9×	78 0.8×	49 0.7×	23 0.4×	25	507
J. Krucinska United States	19	767 2.3×	113 0.9×	96 1.0×	45 0.6×	35 0.6×	27	907
Elisabetta Viani Puglisi United States	15	624 1.9×	115 1.0×	31 0.3×	45 0.6×	34 0.6×	27	723
María G. Noval United States	13	165 0.5×	133 1.1×	55 0.5×	19 0.3×	83 1.4×	23	426
Aleksandar Antanasijevic United States	15	376 1.1×	282 2.4×	233 2.3×	55 0.8×	17 0.3×	32	723
Sarah C. Keane United States	13	598 1.8×	270 2.3×	45 0.4×	64 0.9×	27 0.4×	25	876

Countries citing papers authored by Serafima Guseva

Since Specialization

Citations

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

Fields of papers citing papers by Serafima Guseva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serafima Guseva

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Guseva, Serafima, Supriya Pratihar, Yeongjoon Lee, et al.. (2025). Insight into the Conformational Ensembles Formed by U–U and T–T Mismatches in RNA and DNA Duplexes From a Structure-based Survey, NMR, and Molecular Dynamics Simulations. Journal of Molecular Biology. 437(17). 169197–169197. 1 indexed citations

Rangadurai, Atul, et al.. (2025). Quantitative and Systematic NMR Measurements of Sequence-Dependent A–T Hoogsteen Dynamics in the DNA Double Helix. Biochemistry. 64(5). 1042–1054. 2 indexed citations

Camacho‐Zarco, Aldo R., Luiza M. Bessa, Serafima Guseva, et al.. (2024). A specific phosphorylation-dependent conformational switch in SARS-CoV-2 nucleocapsid protein inhibits RNA binding. Science Advances. 10(31). eaax2323–eaax2323. 11 indexed citations

Szekely, Or, et al.. (2024). NMR measurements of transient low-populated tautomeric and anionic Watson–Crick-like G·T/U in RNA:DNA hybrids: implications for the fidelity of transcription and CRISPR/Cas9 gene editing. Nucleic Acids Research. 52(5). 2672–2685. 5 indexed citations

Bally, Isabelle, Véronique Rossi, Serafima Guseva, et al.. (2024). Revisiting the interaction between complement lectin pathway protease MASP-2 and SARS-CoV-2 nucleoprotein. Frontiers in Immunology. 15. 1419165–1419165. 3 indexed citations

Guseva, Serafima, et al.. (2023). Liquid–Liquid Phase Separation Modifies the Dynamic Properties of Intrinsically Disordered Proteins. Journal of the American Chemical Society. 145(19). 10548–10563. 49 indexed citations

Bessa, Luiza M., Serafima Guseva, Aldo R. Camacho‐Zarco, et al.. (2022). The intrinsically disordered SARS-CoV-2 nucleoprotein in dynamic complex with its viral partner nsp3a. Science Advances. 8(3). eabm4034–eabm4034. 59 indexed citations

Camacho‐Zarco, Aldo R., Serafima Guseva, Anton Abyzov, et al.. (2022). NMR Provides Unique Insight into the Functional Dynamics and Interactions of Intrinsically Disordered Proteins. Chemical Reviews. 122(10). 9331–9356. 75 indexed citations

Salvi, Nicola, Luiza M. Bessa, Serafima Guseva, et al.. (2021). 1H, 13C and 15N backbone chemical shift assignments of SARS-CoV-2 nsp3a. Biomolecular NMR Assignments. 15(1). 173–176. 4 indexed citations

10.

Guseva, Serafima, Laura Mariño, Aldo R. Camacho‐Zarco, et al.. (2021). 1H, 13C and 15N Backbone chemical shift assignments of the n-terminal and central intrinsically disordered domains of SARS-CoV-2 nucleoprotein. Biomolecular NMR Assignments. 15(2). 255–260. 20 indexed citations

11.

Guseva, Serafima, Sigrid Milles, Malene Ringkjøbing Jensen, et al.. (2020). Measles virus nucleo- and phosphoproteins form liquid-like phase-separated compartments that promote nucleocapsid assembly. Science Advances. 6(14). eaaz7095–eaaz7095. 135 indexed citations

12.

Guseva, Serafima, Sigrid Milles, Malene Ringkjøbing Jensen, et al.. (2020). Structure, dynamics and phase separation of measles virus RNA replication machinery. Current Opinion in Virology. 41. 59–67. 26 indexed citations

13.

Guseva, Serafima, Sigrid Milles, Martin Blackledge, & Rob W. H. Ruigrok. (2019). The Nucleoprotein and Phosphoprotein of Measles Virus. Frontiers in Microbiology. 10. 1832–1832. 18 indexed citations

14.

Desfosses, Ambroise, Sigrid Milles, Malene Ringkjøbing Jensen, et al.. (2019). Assembly and cryo-EM structures of RNA-specific measles virus nucleocapsids provide mechanistic insight into paramyxoviral replication. Proceedings of the National Academy of Sciences. 116(10). 4256–4264. 32 indexed citations

15.

Milles, Sigrid, Malene Ringkjøbing Jensen, Serafima Guseva, et al.. (2018). An ultraweak interaction in the intrinsically disordered replication machinery is essential for measles virus function. Science Advances. 4(8). eaat7778–eaat7778. 51 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.

Explore authors with similar magnitude of impact