Emanuela Cosentino

528 total citations
15 papers, 319 citations indexed

About

Emanuela Cosentino is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Emanuela Cosentino has authored 15 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Plant Science. Recurrent topics in Emanuela Cosentino's work include Genomics and Phylogenetic Studies (4 papers), Molecular Biology Techniques and Applications (2 papers) and Environmental DNA in Biodiversity Studies (2 papers). Emanuela Cosentino is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Molecular Biology Techniques and Applications (2 papers) and Environmental DNA in Biodiversity Studies (2 papers). Emanuela Cosentino collaborates with scholars based in Italy, United States and Netherlands. Emanuela Cosentino's co-authors include Marzia Rossato, Massimo Delledonne, Luca Marcolungo, Simone Maestri, Michela Cecchin, Fábio Arruda-Silva, Sara Polletti, Sara Gasperini, Nicola Tamassia and Matteo Ballottari and has published in prestigious journals such as Nature Communications, The Plant Journal and International Journal of Molecular Sciences.

In The Last Decade

Emanuela Cosentino

13 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emanuela Cosentino Italy 9 162 76 58 54 51 15 319
Haorong Lu China 7 256 1.6× 73 1.0× 53 0.9× 67 1.2× 16 0.3× 15 402
Juan Díaz‐Colunga Spain 12 314 1.9× 51 0.7× 92 1.6× 107 2.0× 12 0.2× 17 530
Marina Klemenčič Slovenia 11 171 1.1× 85 1.1× 33 0.6× 16 0.3× 45 0.9× 26 356
Dongxia Yuan China 14 446 2.8× 81 1.1× 189 3.3× 52 1.0× 13 0.3× 22 609
Matthieu Jourdan France 11 202 1.2× 256 3.4× 42 0.7× 78 1.4× 9 0.2× 12 593
Zichao Yu China 15 235 1.5× 38 0.5× 182 3.1× 43 0.8× 15 0.3× 40 554
Andreína Cesari Argentina 14 96 0.6× 26 0.3× 13 0.2× 107 2.0× 20 0.4× 33 630
Mary Bao Tran-Gyamfi United States 11 463 2.9× 140 1.8× 61 1.1× 98 1.8× 47 0.9× 15 618
Liewei L. Yan United States 11 688 4.2× 60 0.8× 39 0.7× 46 0.9× 54 1.1× 15 815
Zijun Zhang China 11 122 0.8× 82 1.1× 17 0.3× 50 0.9× 6 0.1× 47 360

Countries citing papers authored by Emanuela Cosentino

Since Specialization
Citations

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

Fields of papers citing papers by Emanuela Cosentino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuela Cosentino

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

All Works

15 of 15 papers shown
1.
Kroc, Magdalena, Emanuela Cosentino, Matthew N. Nelson, et al.. (2025). The unexplored diversity of rough-seeded lupins provides rich genomic resources and insights into lupin evolution. Nature Communications. 16(1). 4358–4358.
2.
Marcolungo, Luca, Michela Cecchin, Marzia Rossato, et al.. (2024). Haematococcus lacustris genome assembly and annotation reveal diploid genetic traits and stress-induced gene expression patterns. Algal Research. 80. 103567–103567. 8 indexed citations
3.
Marcolungo, Luca, Matteo Ballottari, Michela Cecchin, et al.. (2023). Structural Refinement by Direct Mapping Reveals Assembly Inconsistencies near Hi-C Junctions. Plants. 12(2). 320–320.
4.
Maestri, Simone, Giorgio Gambino, Andrea Minio, et al.. (2022). ‘Nebbiolo’ genome assembly allows surveying the occurrence and functional implications of genomic structural variations in grapevines (Vitis vinifera L.). BMC Genomics. 23(1). 159–159. 12 indexed citations
5.
Passera, Alessandro, Marzia Rossato, John S. Oliver, et al.. (2020). Characterization of Lysinibacillus fusiformis strain S4C11: In vitro, in planta, and in silico analyses reveal a plant-beneficial microbe. Microbiological Research. 244. 126665–126665. 34 indexed citations
6.
Maestri, Simone, Maria Giovanna Maturo, Emanuela Cosentino, et al.. (2020). A Long-Read Sequencing Approach for Direct Haplotype Phasing in Clinical Settings. International Journal of Molecular Sciences. 21(23). 9177–9177. 24 indexed citations
7.
Pagliarani, Chiara, Paolo Boccacci, Walter Chitarra, et al.. (2019). Distinct Metabolic Signals Underlie Clone by Environment Interplay in “Nebbiolo” Grapes Over Ripening. Frontiers in Plant Science. 10. 1575–1575. 15 indexed citations
8.
Cecchin, Michela, Luca Marcolungo, Marzia Rossato, et al.. (2019). Chlorella vulgaris genome assembly and annotation reveals the molecular basis for metabolic acclimation to high light conditions. The Plant Journal. 100(6). 1289–1305. 56 indexed citations
9.
Maestri, Simone, Emanuela Cosentino, Hendrik Freitag, et al.. (2019). A Rapid and Accurate MinION-Based Workflow for Tracking Species Biodiversity in the Field. Genes. 10(6). 468–468. 76 indexed citations
10.
Errichiello, Edoardo, Loretta Giuliano, Emanuela Cosentino, et al.. (2018). SOX2: Not always eye malformations. Severe genital but no major ocular anomalies in a female patient with the recurrent c.70del20 variant. European Journal of Medical Genetics. 61(6). 335–340. 13 indexed citations
11.
Schilthuizen, Menno, et al.. (2018). Bringing the lab to the field: a new lowlandMicroparmarionsemi-slug (Gastropoda: Ariophantidae) described and DNA-barcoded in the forest. Journal of Molluscan Studies. 85(1). 35–40. 6 indexed citations
12.
Arruda-Silva, Fábio, Francisco M. Bianchetto-Aguilera, Sara Gasperini, et al.. (2017). Human Neutrophils Produce CCL23 in Response to Various TLR-Agonists and TNFα. Frontiers in Cellular and Infection Microbiology. 7. 176–176. 51 indexed citations
13.
Turrina, Stefania, Melissa Ferrian, Stefano Caratti, Emanuela Cosentino, & Domenico De Leo. (2015). Kinship analysis: assessment of related vs unrelated based on defined pedigrees. International Journal of Legal Medicine. 130(1). 113–119. 8 indexed citations
14.
Caratti, Stefano, Stefania Turrina, Melissa Ferrian, Emanuela Cosentino, & Domenico De Leo. (2015). MiSeq FGx sequencing system: A new platform for forensic genetics. Forensic science international. Genetics supplement series. 5. e98–e100. 14 indexed citations
15.
Cosentino, Emanuela, Stefania Turrina, Melissa Ferrian, Stefano Caratti, & Domenico De Leo. (2015). Sibling incest. Forensic science international. Genetics supplement series. 5. e472–e473. 2 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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