Francesco Vezzi

4.3k total citations
26 papers, 944 citations indexed

About

Francesco Vezzi is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Francesco Vezzi has authored 26 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Plant Science and 6 papers in Genetics. Recurrent topics in Francesco Vezzi's work include Genomics and Phylogenetic Studies (15 papers), Chromosomal and Genetic Variations (6 papers) and RNA and protein synthesis mechanisms (6 papers). Francesco Vezzi is often cited by papers focused on Genomics and Phylogenetic Studies (15 papers), Chromosomal and Genetic Variations (6 papers) and RNA and protein synthesis mechanisms (6 papers). Francesco Vezzi collaborates with scholars based in Sweden, Italy and United States. Francesco Vezzi's co-authors include Alberto Policriti, Francesca Nadalin, Bud Mishra, Giuseppe Narzisi, Lars Arvestad, Joakim Lundeberg, Björn Nystedt, Kristoffer Sahlin, Max Käller and Simone Scalabrin and has published in prestigious journals such as Nature Genetics, Bioinformatics and PLoS ONE.

In The Last Decade

Francesco Vezzi

26 papers receiving 928 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Vezzi Sweden 17 527 233 215 125 86 26 944
Michael Whelan United Kingdom 9 438 0.8× 141 0.6× 111 0.5× 149 1.2× 38 0.4× 12 1.4k
Lydia Steiner Germany 9 983 1.9× 192 0.8× 154 0.7× 283 2.3× 34 0.4× 9 1.4k
Bernd Jagla France 18 1.2k 2.2× 200 0.9× 219 1.0× 165 1.3× 76 0.9× 25 1.9k
Reidar Andreson Estonia 15 468 0.9× 191 0.8× 160 0.7× 176 1.4× 21 0.2× 19 974
Linda Strömbom Spain 6 703 1.3× 106 0.5× 123 0.6× 128 1.0× 34 0.4× 7 1.2k
Yimin He China 9 658 1.2× 165 0.7× 192 0.9× 172 1.4× 29 0.3× 16 1.1k
Kristina Lind Sweden 8 752 1.4× 111 0.5× 127 0.6× 143 1.1× 28 0.3× 10 1.2k
Anna I. Rissman United States 6 962 1.8× 395 1.7× 161 0.7× 184 1.5× 25 0.3× 6 1.6k
Ming‐an Sun China 22 707 1.3× 226 1.0× 155 0.7× 81 0.6× 35 0.4× 50 1.6k
Martin Pospíšek Czechia 18 772 1.5× 218 0.9× 117 0.5× 112 0.9× 14 0.2× 47 1.3k

Countries citing papers authored by Francesco Vezzi

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Vezzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Vezzi

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Vezzi. A scholar is included among the top collaborators of Francesco Vezzi 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 Francesco Vezzi. Francesco Vezzi 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.
Vezzi, Francesco, et al.. (2020). Development and performance of a next generation sequencing (NGS) assay for monitoring of mixed chimerism. Clinica Chimica Acta. 512. 40–48. 28 indexed citations
2.
Eisfeldt, Jesper, Maria Pettersson, Francesco Vezzi, et al.. (2019). Comprehensive structural variation genome map of individuals carrying complex chromosomal rearrangements. PLoS Genetics. 15(2). e1007858–e1007858. 30 indexed citations
3.
4.
Tran, Anh Nhi, Fulya Taylan, Vasilios Zachariadis, et al.. (2018). High-resolution detection of chromosomal rearrangements in leukemias through mate pair whole genome sequencing. PLoS ONE. 13(3). e0193928–e0193928. 8 indexed citations
5.
Engström, Karin, Tomasz K. Wojdacz, Francesco Marabita, et al.. (2016). Transcriptomics and methylomics of CD4-positive T cells in arsenic-exposed women. Archives of Toxicology. 91(5). 2067–2078. 26 indexed citations
6.
Spjuth, Ola, Erik Bongcam‐Rudloff, Johan Dahlberg, et al.. (2016). Recommendations on e-infrastructures for next-generation sequencing. GigaScience. 5(1). 26–26. 16 indexed citations
7.
Prezza, Nicola, Francesco Vezzi, Max Käller, & Alberto Policriti. (2016). Fast, accurate, and lightweight analysis of BS-treated reads with ERNE 2. BMC Bioinformatics. 17(S4). 69–69. 4 indexed citations
8.
9.
Celorio‐Mancera, Maria de la Paz, Christopher W. Wheat, Mikael Huss, et al.. (2016). Evolutionary history of host use, rather than plant phylogeny, determines gene expression in a generalist butterfly. BMC Evolutionary Biology. 16(1). 59–59. 29 indexed citations
10.
Grünewald, Johan, Ylva Kaiser, Mahyar Ostadkarampour, et al.. (2015). T-cell receptor–HLA-DRB1 associations suggest specific antigens in pulmonary sarcoidosis. European Respiratory Journal. 47(3). 898–909. 55 indexed citations
11.
Alexeyenko, Andrey, Björn Nystedt, Francesco Vezzi, et al.. (2014). Efficient de novo assembly of large and complex genomes by massively parallel sequencing of Fosmid pools. BMC Genomics. 15(1). 439–439. 7 indexed citations
12.
Nord, Karolin H., Henrik Lilljebjörn, Francesco Vezzi, et al.. (2014). GRM1 is upregulated through gene fusion and promoter swapping in chondromyxoid fibroma. Nature Genetics. 46(5). 474–477. 58 indexed citations
13.
Sahlin, Kristoffer, Francesco Vezzi, Björn Nystedt, Joakim Lundeberg, & Lars Arvestad. (2014). BESST - Efficient scaffolding of large fragmented assemblies. BMC Bioinformatics. 15(1). 281–281. 97 indexed citations
14.
Vicedomini, Riccardo, Francesco Vezzi, Simone Scalabrin, Lars Arvestad, & Alberto Policriti. (2013). GAM-NGS: genomic assemblies merger for next generation sequencing. BMC Bioinformatics. 14(S7). S6–S6. 51 indexed citations
15.
Nadalin, Francesca, Francesco Vezzi, & Alberto Policriti. (2012). GapFiller: a de novo assembly approach to fill the gap within paired reads. BMC Bioinformatics. 13(S14). S8–S8. 254 indexed citations
16.
Vezzi, Francesco, Giuseppe Narzisi, & Bud Mishra. (2012). Reevaluating Assembly Evaluations with Feature Response Curves: GAGE and Assemblathons. PLoS ONE. 7(12). e52210–e52210. 62 indexed citations
17.
Vezzi, Francesco, Giuseppe Narzisi, & Bud Mishra. (2012). Feature-by-Feature – Evaluating De Novo Sequence Assembly. PLoS ONE. 7(2). e31002–e31002. 32 indexed citations
18.
Policriti, Alberto, Alexandru I. Tomescu, & Francesco Vezzi. (2011). A randomized Numerical Aligner (rNA). Journal of Computer and System Sciences. 78(6). 1868–1882. 6 indexed citations
19.
Vezzi, Francesco, Cristian Del Fabbro, Alexandru I. Tomescu, & Alberto Policriti. (2011). rNA: a fast and accurate short reads numerical aligner. Bioinformatics. 28(1). 123–124. 29 indexed citations
20.
Vezzi, Francesco, Federica Cattonaro, & Alberto Policriti. (2011). e-RGA: enhanced Reference Guided Assembly of Complex Genomes. EMBnet journal. 17(1). 46–46. 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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