Michela Chiumenti

1.4k total citations
48 papers, 541 citations indexed

About

Michela Chiumenti is a scholar working on Plant Science, Endocrinology and Insect Science. According to data from OpenAlex, Michela Chiumenti has authored 48 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Plant Science, 24 papers in Endocrinology and 15 papers in Insect Science. Recurrent topics in Michela Chiumenti's work include Plant Virus Research Studies (35 papers), Plant and Fungal Interactions Research (24 papers) and Insect-Plant Interactions and Control (12 papers). Michela Chiumenti is often cited by papers focused on Plant Virus Research Studies (35 papers), Plant and Fungal Interactions Research (24 papers) and Insect-Plant Interactions and Control (12 papers). Michela Chiumenti collaborates with scholars based in Italy, France and Belgium. Michela Chiumenti's co-authors include Annalisa Giampetruzzi, A. Minafra, María Saponari, Pasquale Saldarelli, G. P. Martelli, Giuliana Loconsole, Francesco Di Serio, D. Boscia, Massimiliano Morelli and V. Savino and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Frontiers in Plant Science.

In The Last Decade

Michela Chiumenti

47 papers receiving 519 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michela Chiumenti Italy 12 513 173 164 127 75 48 541
Jonathan E. Oliver United States 10 433 0.8× 144 0.8× 124 0.8× 88 0.7× 64 0.9× 32 466
Nami Minato Japan 14 721 1.4× 227 1.3× 96 0.6× 130 1.0× 151 2.0× 21 767
A. Laviña Spain 12 523 1.0× 210 1.2× 105 0.6× 136 1.1× 45 0.6× 55 554
Oriana Potere Italy 11 436 0.8× 135 0.8× 137 0.8× 129 1.0× 34 0.5× 24 456
K. Izadpanah Iran 16 532 1.0× 154 0.9× 184 1.1× 88 0.7× 47 0.6× 66 552
Leticia Ruiz Spain 16 582 1.1× 168 1.0× 144 0.9× 64 0.5× 142 1.9× 43 644
Anne Lemmetty Finland 15 667 1.3× 236 1.4× 136 0.8× 68 0.5× 76 1.0× 44 693
Josef Špak Czechia 14 758 1.5× 145 0.8× 353 2.2× 87 0.7× 93 1.2× 81 793
Paolo Margaria Germany 15 803 1.6× 258 1.5× 351 2.1× 75 0.6× 125 1.7× 61 851
M. A. Macedo Brazil 12 508 1.0× 232 1.3× 97 0.6× 82 0.6× 29 0.4× 32 546

Countries citing papers authored by Michela Chiumenti

Since Specialization
Citations

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

Fields of papers citing papers by Michela Chiumenti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michela Chiumenti

This figure shows the co-authorship network connecting the top 25 collaborators of Michela Chiumenti. A scholar is included among the top collaborators of Michela Chiumenti 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 Michela Chiumenti. Michela Chiumenti 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.
Vopálenský, Pavel, Anton Škríba, Michela Chiumenti, et al.. (2025). Exploring RNA modifications in infectious non-coding circular RNAs. RNA Biology. 22(1). 1–9. 1 indexed citations
2.
Chiumenti, Michela, Alberto Fereres, José Alberto Pereira, et al.. (2025). Assessment of Trioza erytreae microbiome and mitochondrial genome variability by integrated high-throughput sequencing approach. Journal of Pest Science. 98(4). 2383–2402.
3.
Minutolo, Maria, Michela Chiumenti, Giuseppe Di Rauso Simeone, et al.. (2023). A Polyvalent Tool for Detecting Coguviruses in Multiple Hosts Allowed the Identification of a Novel Seed-Transmitted Coguvirus Infecting Brassicaceae. Phytopathology. 114(4). 823–831. 1 indexed citations
4.
5.
Chiumenti, Michela, et al.. (2023). Application of Nanopore-Based Sequencing to Identify Virus Infections in Woody Plants. Methods in molecular biology. 2732. 265–278. 1 indexed citations
6.
Navarro, Beatriz, Shuai Li, Andreas Gisel, et al.. (2022). A Novel Self-Cleaving Viroid-Like RNA Identified in RNA Preparations from a Citrus Tree Is Not Directly Associated with the Plant. Viruses. 14(10). 2265–2265. 5 indexed citations
7.
8.
Navarro, Beatriz, Andreas Gisel, Pedro Serra, et al.. (2021). Degradome Analysis of Tomato and Nicotiana benthamiana Plants Infected with Potato Spindle Tuber Viroid. International Journal of Molecular Sciences. 22(7). 3725–3725. 9 indexed citations
9.
Chiumenti, Michela, Beatriz Navarro, Thierry Candresse, Ricardo Flores, & Francesco Di Serio. (2021). Reassessing species demarcation criteria in viroid taxonomy by pairwise identity matrices. Virus Evolution. 7(1). veab001–veab001. 15 indexed citations
10.
Chiumenti, Michela, et al.. (2021). High throughput sequencing from Angolan citrus accessions discloses the presence of emerging CTV strains. Virology Journal. 18(1). 62–62. 2 indexed citations
11.
Tamisier, Lucie, Annelies Haegeman, Maher Al Rwahnih, et al.. (2021). Semi-artificial datasets as a resource for validation of bioinformatics pipelines for plant virus detection. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
12.
Tamisier, Lucie, Annelies Haegeman, Maher Al Rwahnih, et al.. (2021). Semi-artificial datasets as a resource for validation of bioinformatics pipelines for plant virus detection. SHILAP Revista de lepidopterología. 1. 9 indexed citations
13.
14.
Delgado, Sonia, Beatriz Navarro, Pedro Serra, et al.. (2019). How sequence variants of a plastid-replicating viroid with one single nucleotide change initiate disease in its natural host. RNA Biology. 16(7). 906–917. 22 indexed citations
15.
Chiumenti, Michela, Massimiliano Morelli, Annalisa Giampetruzzi, et al.. (2015). FIRST REPORT OF GRAPEVINE RODITIS LEAF DISCOLORATION- ASSOCIATED VIRUS IN ITALY. Journal of Plant Pathology. 97(3). 551–551. 8 indexed citations
16.
Morelli, Massimiliano, Michela Chiumenti, Pierfederico La Notte, A. Minafra, & G. P. Martelli. (2014). FIRST REPORT OF PERSIMMON VIRUS A IN ITALY. Journal of Plant Pathology. 96(3). 610. 1 indexed citations
17.
Elbeaino, Toufic, Michela Chiumenti, Angelo De Stradis, et al.. (2013). IDENTIFICATION OF A BADNAVIRUS INFECTING MULBERRY. Journal of Plant Pathology. 95(1). 207–210. 3 indexed citations
18.
Chiumenti, Michela, et al.. (2013). Sanitation trials for the production of virus-free fig stocks. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 7 indexed citations
19.
Minafra, A., Michela Chiumenti, Toufic Elbeaino, et al.. (2012). Occurrence of fig Badnavirus 1 in fig trees from different countries and in symptomless seedlings.. Journal of Plant Pathology. 94. 4–105. 11 indexed citations
20.
Giampetruzzi, Annalisa, et al.. (2011). First detection of Grapevine leafroll-associated virus 9 in Italy.. Journal of Plant Pathology. 93. 4–88. 1 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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