Danielle Venditti

1.2k total citations
31 papers, 928 citations indexed

About

Danielle Venditti is a scholar working on Molecular Biology, Endocrinology and Parasitology. According to data from OpenAlex, Danielle Venditti has authored 31 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 14 papers in Endocrinology and 9 papers in Parasitology. Recurrent topics in Danielle Venditti's work include Legionella and Acanthamoeba research (13 papers), Protist diversity and phylogeny (10 papers) and Parasitic Infections and Diagnostics (9 papers). Danielle Venditti is often cited by papers focused on Legionella and Acanthamoeba research (13 papers), Protist diversity and phylogeny (10 papers) and Parasitic Infections and Diagnostics (9 papers). Danielle Venditti collaborates with scholars based in France, Austria and Germany. Danielle Venditti's co-authors include Daniele Corsaro, Marcello Valassina, Julia Walochnik, R. Michel, Karl‐Dieter Müller, Bärbel Hauröder, Claudia Wylezich, Jörg Steinmann, Martina Köhsler and Vincent Thomas and has published in prestigious journals such as Microbiology, FEMS Microbiology Letters and Systematic and Applied Microbiology.

In The Last Decade

Danielle Venditti

30 papers receiving 877 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Venditti France 17 508 345 209 189 160 31 928
Pilar Delgado‐Viscogliosi France 18 246 0.5× 195 0.6× 143 0.7× 656 3.5× 110 0.7× 25 1.1k
Cristina E. Alvarez‐Martinez Brazil 14 544 1.1× 410 1.2× 36 0.2× 52 0.3× 268 1.7× 22 1.3k
Snake Jones United States 17 694 1.4× 551 1.6× 30 0.1× 49 0.3× 115 0.7× 27 1.1k
Dongya Gao United States 24 359 0.7× 52 0.2× 209 1.0× 190 1.0× 169 1.1× 45 1.3k
Anna Lopatina Russia 13 1.0k 2.0× 253 0.7× 142 0.7× 32 0.2× 1.1k 7.2× 17 1.7k
Dionigia Meloni France 15 250 0.5× 97 0.3× 71 0.3× 639 3.4× 174 1.1× 20 1.0k
Franck Cantet France 16 192 0.4× 132 0.4× 33 0.2× 244 1.3× 55 0.3× 25 749
Mark Sistrom United States 15 229 0.5× 82 0.2× 178 0.9× 40 0.2× 500 3.1× 31 952
Danielle Walker United Kingdom 8 312 0.6× 151 0.4× 91 0.4× 24 0.1× 473 3.0× 8 1.1k
Toshiro Kuroki Japan 19 155 0.3× 180 0.5× 328 1.6× 189 1.0× 84 0.5× 54 1.1k

Countries citing papers authored by Danielle Venditti

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Venditti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Venditti

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Venditti. A scholar is included among the top collaborators of Danielle Venditti 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 Danielle Venditti. Danielle Venditti 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.
Corsaro, Daniele & Danielle Venditti. (2023). Molecular evidence for a new lineage within the Acanthamoeba T4 genotype. Parasitology Research. 122(6). 1445–1450. 6 indexed citations
2.
Corsaro, Daniele & Danielle Venditti. (2019). Putative group I introns in the eukaryote nuclear internal transcribed spacers. Current Genetics. 66(2). 373–384. 8 indexed citations
3.
Corsaro, Daniele, Martina Köhsler, Danielle Venditti, Marilise Brittes Rott, & Julia Walochnik. (2019). Recovery of an Acanthamoeba strain with two group I introns in the nuclear 18S rRNA gene. European Journal of Protistology. 68. 88–98. 14 indexed citations
4.
Corsaro, Daniele & Danielle Venditti. (2018). Nuclear Group I introns with homing endonuclease genes in Acanthamoeba genotype T4. European Journal of Protistology. 66. 26–35. 9 indexed citations
5.
Corsaro, Daniele, Claudia Wylezich, Danielle Venditti, et al.. (2018). Filling gaps in the microsporidian tree: rDNA phylogeny of Chytridiopsis typographi (Microsporidia: Chytridiopsida). Parasitology Research. 118(1). 169–180. 27 indexed citations
6.
Corsaro, Daniele & Danielle Venditti. (2018). Unusual 18S rDNA of Acanthamoeba containing intron turned out to be a T5/T4 chimera. Parasitology Research. 118(2). 657–662. 3 indexed citations
7.
Corsaro, Daniele, Martina Köhsler, Claudia Wylezich, et al.. (2017). New insights from molecular phylogenetics of amoebophagous fungi (Zoopagomycota, Zoopagales). Parasitology Research. 117(1). 157–167. 20 indexed citations
8.
Corsaro, Daniele, Martina Köhsler, Danielle Venditti, et al.. (2017). Update on Acanthamoeba jacobsi genotype T15, including full-length 18S rDNA molecular phylogeny. Parasitology Research. 116(4). 1273–1284. 55 indexed citations
9.
Corsaro, Daniele, R. Michel, Julia Walochnik, et al.. (2016). Molecular identification of Nucleophaga terricolae sp. nov. (Rozellomycota), and new insights on the origin of the Microsporidia. Parasitology Research. 115(8). 3003–3011. 52 indexed citations
10.
Corsaro, Daniele, Claudia Wylezich, Julia Walochnik, Danielle Venditti, & R. Michel. (2016). Molecular identification of bacterial endosymbionts of Sappinia strains. Parasitology Research. 116(2). 549–558. 9 indexed citations
11.
Corsaro, Daniele & Danielle Venditti. (2015). Detection of novel Chlamydiae and Legionellales from human nasal samples of healthy volunteers. Folia Microbiologica. 60(4). 325–334. 7 indexed citations
12.
Corsaro, Daniele, Julia Walochnik, Danielle Venditti, et al.. (2014). Microsporidia-like parasites of amoebae belong to the early fungal lineage Rozellomycota. Parasitology Research. 113(5). 1909–1918. 104 indexed citations
13.
Corsaro, Daniele & Danielle Venditti. (2013). Molecular Phylogenetics Evidence for a Novel Lineage of Amoebae Within Discosea (Amoebozoa: Lobosa). Acta Protozoologica. 52(4). 309–316. 4 indexed citations
14.
Corsaro, Daniele, Julia Walochnik, Danielle Venditti, Karl‐Dieter Müller, & R. Michel. (2013). Molecular Identification of a Phage-infected Protochlamydia Strain Naturally Harboured by Non-Encysting Naegleria. Acta Protozoologica. 52(4). 273–281. 3 indexed citations
15.
Corsaro, Daniele & Danielle Venditti. (2011). More Acanthamoeba Genotypes: Limits to Use rDNA Fragments to Describe New Genotype. Acta Protozoologica. 50(1). 49–54. 14 indexed citations
16.
Corsaro, Daniele & Danielle Venditti. (2006). Diversity of the Parachlamydiae in the Environment. Critical Reviews in Microbiology. 32(4). 185–199. 21 indexed citations
17.
Corsaro, Daniele & Danielle Venditti. (2004). Emerging Chlamydial Infections. Critical Reviews in Microbiology. 30(2). 75–106. 58 indexed citations
18.
Corsaro, Daniele, Marcello Valassina, & Danielle Venditti. (2003). Increasing Diversity within Chlamydiae. Critical Reviews in Microbiology. 29(1). 37–78. 64 indexed citations
19.
Corsaro, Daniele, Danielle Venditti, & Marcello Valassina. (2002). New parachlamydial 16S rDNA phylotypes detected in human clinical samples. Research in Microbiology. 153(9). 563–567. 60 indexed citations
20.
Corsaro, Daniele, Danielle Venditti, Maria Carmela Padula, & Marcello Valassina. (1999). Intracellular Life. Critical Reviews in Microbiology. 25(1). 39–79. 37 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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