Stefano Pascarella

5.2k total citations · 1 hit paper
115 papers, 3.4k citations indexed

About

Stefano Pascarella is a scholar working on Molecular Biology, Materials Chemistry and Infectious Diseases. According to data from OpenAlex, Stefano Pascarella has authored 115 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 42 papers in Materials Chemistry and 36 papers in Infectious Diseases. Recurrent topics in Stefano Pascarella's work include Enzyme Structure and Function (42 papers), Protein Structure and Dynamics (32 papers) and SARS-CoV-2 and COVID-19 Research (28 papers). Stefano Pascarella is often cited by papers focused on Enzyme Structure and Function (42 papers), Protein Structure and Dynamics (32 papers) and SARS-CoV-2 and COVID-19 Research (28 papers). Stefano Pascarella collaborates with scholars based in Italy, Brazil and United States. Stefano Pascarella's co-authors include Patrick Argos, Francesco Bossa, Massimo Ciccozzi, Martina Bianchi, Alessandro Paiardini, Silvia Angeletti, Domenico Benvenuto, Marta Giovanetti, Giulio Gianese and Teresa Milano and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Stefano Pascarella

112 papers receiving 3.4k 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.

COVID-19 Outbreak: An Overview

2019 267 citations Marco Ciotti, Silvia Angeletti et al. Chemotherapy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefano Pascarella Italy	29	2.0k	971	796	321	300	115	3.4k
M.M. Cherney Canada	31	1.9k 1.0×	783 0.8×	356 0.4×	172 0.5×	324 1.1×	75	3.4k
Andrew Sharff United States	21	2.7k 1.4×	507 0.5×	803 1.0×	131 0.4×	781 2.6×	31	4.3k
Amy L. Davidson United States	28	2.4k 1.2×	456 0.5×	348 0.4×	400 1.2×	780 2.6×	43	4.9k
René Wintjens Belgium	33	1.9k 1.0×	589 0.6×	309 0.4×	93 0.3×	249 0.8×	86	3.5k
Marcos Antônio de Oliveira Brazil	32	1.9k 1.0×	301 0.3×	245 0.3×	324 1.0×	269 0.9×	99	3.6k
Xinhua Ji United States	45	5.0k 2.5×	497 0.5×	442 0.6×	312 1.0×	646 2.2×	154	6.4k
Changjiang Dong United Kingdom	35	2.2k 1.1×	524 0.5×	311 0.4×	120 0.4×	881 2.9×	65	4.2k
K.P. Battaile United States	34	2.1k 1.0×	739 0.8×	266 0.3×	130 0.4×	527 1.8×	131	3.6k
David L. Pompliano United States	23	3.2k 1.6×	612 0.6×	376 0.5×	85 0.3×	430 1.4×	36	5.1k
Xuejun C. Zhang China	38	2.5k 1.2×	921 0.9×	200 0.3×	121 0.4×	657 2.2×	108	4.4k

Countries citing papers authored by Stefano Pascarella

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Pascarella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Pascarella

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Pascarella. A scholar is included among the top collaborators of Stefano Pascarella 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 Stefano Pascarella. Stefano Pascarella 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

Scarpa, Fabio, Francesco Branda, Giancarlo Ceccarelli, et al.. (2025). SARS-CoV-2 XEC: A Genome-Based Survey. Microorganisms. 13(2). 253–253. 3 indexed citations

Via, Allegra, et al.. (2025). Structural Analysis of the SARS ‐ CoV ‐2 Spike N‐Terminal Domain Across Wild‐Type and Recent Variants: A Comparative Study. Proteins Structure Function and Bioinformatics. 93(11). 1891–1904.

Monaco, Vittoria, Ilaria Iacobucci, Veronica Ferrucci, et al.. (2024). SARS-CoV-2 uses Spike glycoprotein to control the host's anaerobic metabolism by inhibiting LDHB. International Journal of Biological Macromolecules. 278(Pt 3). 134638–134638. 3 indexed citations

Scarpa, Fabio, Daria Sanna, Marco Casu, et al.. (2023). SARS-CoV CH.1.1 Variant: Genomic and Structural Insight. Infectious Disease Reports. 15(3). 292–298. 9 indexed citations

Scarpa, Fabio, Daria Sanna, Ilenia Azzena, et al.. (2023). Genome‐based comparison between the recombinant SARS‐CoV‐2 XBB and its parental lineages. Journal of Medical Virology. 95(3). e28625–e28625. 24 indexed citations

Scarpa, Fabio, Marta Giovanetti, Ilenia Azzena, et al.. (2023). Genome‐based survey of the SARS‐CoV‐2 BF.7 variant from Asia. Journal of Medical Virology. 95(4). e28714–e28714. 7 indexed citations

Scarpa, Fabio, Ilenia Azzena, Marco Casu, et al.. (2023). SARS-CoV-2 Recombinants: Genomic Comparison between XBF and Its Parental Lineages. Microorganisms. 11(7). 1824–1824. 7 indexed citations

Scarpa, Fabio, Ilenia Azzena, Marco Casu, et al.. (2023). Molecular In-Depth on the Epidemiological Expansion of SARS-CoV-2 XBB.1.5. Microorganisms. 11(4). 912–912. 9 indexed citations

Scarpa, Fabio, Marta Giovanetti, Alessandra Ciccozzi, et al.. (2023). Update on the Phylodynamic and Genetic Variability of Marburg Virus. Viruses. 15(8). 1721–1721. 4 indexed citations

10.

Scarpa, Fabio, Stefano Pascarella, Alessandra Ciccozzi, et al.. (2023). Genetic and structural analyses reveal the low potential of the SARS‐CoV‐2 EG.5 variant. Journal of Medical Virology. 95(9). e29075–e29075. 7 indexed citations

11.

Scarpa, Fabio, Ilenia Azzena, Alessandra Ciccozzi, et al.. (2023). Integrative Genome-Based Survey of the SARS-CoV-2 Omicron XBB.1.16 Variant. International Journal of Molecular Sciences. 24(17). 13573–13573. 7 indexed citations

12.

Pascarella, Stefano, Martina Bianchi, Marta Giovanetti, et al.. (2022). The Biological Properties of the SARS-CoV-2 Cameroon Variant Spike: An Intermediate between the Alpha and Delta Variants. Pathogens. 11(7). 814–814. 1 indexed citations

13.

Scarpa, Fabio, Daria Sanna, Domenico Benvenuto, et al.. (2022). Genetic and Structural Data on the SARS-CoV-2 Omicron BQ.1 Variant Reveal Its Low Potential for Epidemiological Expansion. International Journal of Molecular Sciences. 23(23). 15264–15264. 20 indexed citations

14.

Cella, Eleonora, Francesca Benedetti, Silvia Fabris, et al.. (2021). SARS-CoV-2 Lineages and Sub-Lineages Circulating Worldwide: A Dynamic Overview. Chemotherapy. 66(1-2). 3–7. 28 indexed citations

15.

Pascarella, Stefano, Massimo Ciccozzi, Davide Zella, et al.. (2021). SARS‐CoV‐2 B.1.617 Indian variants: Are electrostatic potential changes responsible for a higher transmission rate?. Journal of Medical Virology. 93(12). 6551–6556. 74 indexed citations

16.

Bianchi, Martina, Domenico Benvenuto, Marta Giovanetti, et al.. (2020). Sars‐CoV‐2 Envelope and Membrane Proteins: Structural Differences Linked to Virus Characteristics?. BioMed Research International. 2020(1). 4389089–4389089. 138 indexed citations

17.

Milano, Teresa, Sebastiana Angelaccio, Angela Tramonti, et al.. (2017). A Comprehensive Computational Analysis of Mycobacterium Genomes Pinpoints the Genes Co-occurring with YczE, a Membrane Protein Coding Gene Under the Putative Control of a MocR, and Predicts its Function. Interdisciplinary Sciences Computational Life Sciences. 10(1). 111–125. 2 indexed citations

18.

Giovanetti, Marta, Teresa Milano, Luíz Carlos Júnior Alcântara, et al.. (2016). Zika Virus spreading in South America: Evolutionary analysis of emerging neutralizing resistant Phe279Ser strains. Asian Pacific Journal of Tropical Medicine. 9(5). 445–452. 14 indexed citations

19.

Paiardini, Alessandro, Francesco Bossa, & Stefano Pascarella. (2005). CAMPO, SCR_FIND and CHC_FIND: a suite of web tools for computational structural biology. Nucleic Acids Research. 33(Web Server). W50–W55. 22 indexed citations

20.

Ruoppolo, Margherita, Angela Amoresano, Piero Pucci, et al.. (2000). Characterization of five new low‐molecular‐mass trypsin inhibitors from white mustard (Sinapis alba L.) seed. European Journal of Biochemistry. 267(21). 6486–6492. 14 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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