Stefano Pascarelli

831 total citations
10 papers, 92 citations indexed

About

Stefano Pascarelli is a scholar working on Molecular Biology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Stefano Pascarelli has authored 10 papers receiving a total of 92 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Stefano Pascarelli's work include RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (3 papers) and Machine Learning in Bioinformatics (2 papers). Stefano Pascarelli is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (3 papers) and Machine Learning in Bioinformatics (2 papers). Stefano Pascarelli collaborates with scholars based in Italy, Japan and Sweden. Stefano Pascarelli's co-authors include Paola Mattarelli, Monica Modesto, Paola Laurino, Thomas Andlid, Maria Rosaria D’Aimmo, Donata Luiselli, Carlotta De Filippo, Barbara Sgorbati, Caterina Spiezio and Duccio Cavalieri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Methods.

In The Last Decade

Stefano Pascarelli

10 papers receiving 91 citations

Peers

Stefano Pascarelli

MB

FS

GENET

IS

PRM

Magdalena D. Pieczynska Poland

Alexia Lapière France

Magdalena Iwan Poland

Pieter Verschaffelt Belgium

Amanda L. Muehlbauer United States

Youbing Guo China

Qunyan He China

Henning Schiebenhoefer Germany

Mason R. Firpo United States

Cristina Bueno Spain

Magdalena D. Pieczynska Poland

Stefano Pascarelli

66 ×1.0

MB

12 ×0.6

FS

15 ×0.8

GENET

10 ×1.0

IS

2 ×0.3

PRM

Citations per year, relative to Stefano Pascarelli Stefano Pascarelli (= 1×) peers Magdalena D. Pieczynska

Countries citing papers authored by Stefano Pascarelli

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Pascarelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Pascarelli

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

All Works

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10 of 10 papers shown

1.

Modesto, Monica, Alejandra Vásquez, Rüdiger Pukall, et al.. (2025). Phylogenetic characterization of Bifidobacterium kimbladii sp. nov., a novel species from the honey stomach of the honeybee Apis mellifera. Systematic and Applied Microbiology. 48(1). 126579–126579. 2 indexed citations

2.

Majidian, Sina, Yannis Nevers, Alex Warwick Vesztrocy, et al.. (2025). Orthology inference at scale with FastOMA. Nature Methods. 22(2). 269–272. 8 indexed citations

3.

D’Aimmo, Maria Rosaria, Monica Modesto, Stefano Pascarelli, et al.. (2023). Folate-producing bifidobacteria: metabolism, genetics, and relevance. PubMed. 3(1). 11–11. 24 indexed citations

4.

Olofsson, Tobias C., et al.. (2023). Bifidobacterium mellis sp. nov., isolated from the honey stomach of the honey bee Apis mellifera. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 73(3). 7 indexed citations

5.

Pascarelli, Stefano & Paola Laurino. (2022). Inter-paralog amino acid inversion events in large phylogenies of duplicated proteins. PLoS Computational Biology. 18(4). e1010016–e1010016. 2 indexed citations

6.

Dindo, Mirco, Stefano Pascarelli, Davide Chiasserini, et al.. (2022). Structural dynamics shape the fitness window of alanine:glyoxylate aminotransferase. Protein Science. 31(5). e4303–e4303. 11 indexed citations

7.

Pascarelli, Stefano, et al.. (2022). Insertions and deletions mediated functional divergence of Rossmann fold enzymes. Proceedings of the National Academy of Sciences. 119(48). e2207965119–e2207965119. 9 indexed citations

8.

Pascarelli, Stefano, et al.. (2021). Binding of single-mutant epidermal growth factor (EGF) ligands alters the stability of the EGF receptor dimer and promotes growth signaling. Journal of Biological Chemistry. 297(1). 100872–100872. 7 indexed citations

9.

Modesto, Monica, Carlotta De Filippo, Duccio Cavalieri, et al.. (2017). Bifidobacterium callitrichidarum sp. nov. from the faeces of the emperor tamarin (Saguinus imperator). INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 68(1). 141–148. 19 indexed citations

10.

Leonardi, Emanuela, Emanuela Dazzo, Maria Cristina Aspromonte, et al.. (2017). CNTNAP2 mutations and autosomal dominant epilepsy with auditory features. Epilepsy Research. 139. 51–53. 3 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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