Sara Jacchia

419 total citations
8 papers, 326 citations indexed

About

Sara Jacchia is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Sara Jacchia has authored 8 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Plant Science and 2 papers in Genetics. Recurrent topics in Sara Jacchia's work include CRISPR and Genetic Engineering (4 papers), Genetically Modified Organisms Research (4 papers) and Insect Resistance and Genetics (3 papers). Sara Jacchia is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Genetically Modified Organisms Research (4 papers) and Insect Resistance and Genetics (3 papers). Sara Jacchia collaborates with scholars based in Italy, Philippines and Belgium. Sara Jacchia's co-authors include Savini Cristian, Dafni Maria Kagkli, Monica Fornari, Gynheung An, Martin M. Kater, Antoon Lievens, Lucia Colombo, Ludovico Dreni, Fabio Fornara and Pieter B. F. Ouwerkerk and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and The Plant Journal.

In The Last Decade

Sara Jacchia

8 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sara Jacchia Italy	6	259	222	47	41	20	8	326
Pauline Fung Canada	7	240 0.9×	388 1.7×	57 1.2×	11 0.3×	11 0.6×	8	504
Lyam Baudry France	8	215 0.8×	96 0.4×	39 0.8×	21 0.5×	10 0.5×	9	284
Simone Oberhaensli Switzerland	11	130 0.5×	523 2.4×	40 0.9×	9 0.2×	21 1.1×	23	628
Lucie Studená United Kingdom	3	358 1.4×	61 0.3×	64 1.4×	34 0.8×	5 0.3×	4	395
Fatimah Aljedaani Saudi Arabia	6	553 2.1×	403 1.8×	33 0.7×	13 0.3×	10 0.5×	9	639
Jared W. Wenger United States	5	272 1.1×	78 0.4×	137 2.9×	80 2.0×	13 0.7×	6	340
Venkata Mangu United States	11	130 0.5×	236 1.1×	42 0.9×	7 0.2×	15 0.8×	15	324
Allison Creason United States	10	125 0.5×	311 1.4×	19 0.4×	7 0.2×	9 0.5×	16	413

Countries citing papers authored by Sara Jacchia

Since Specialization

Citations

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

Fields of papers citing papers by Sara Jacchia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Jacchia

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

All Works

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8 of 8 papers shown

César‐Razquin, Adrián, Josep Casacuberta, Tamás Dalmay, et al.. (2024). Technical Note on the quality of DNA sequencing for the molecular characterisation of genetically modified plants. EFSA Journal. 22(4). e8744–e8744. 5 indexed citations

Cristian, Savini, Sara Jacchia, Maria Grazia Sacco, et al.. (2022). Assessment of the Real-Time PCR Method Claiming to be Specific for Detection and Quantification of the First Commercialised Genome-Edited Plant. Food Analytical Methods. 15(8). 2107–2125. 8 indexed citations

Dreni, Ludovico, Andrea Ravasio, Nahuel González‐Schain, et al.. (2020). Functionally Divergent Splicing Variants of the Rice AGAMOUS Ortholog OsMADS3 Are Evolutionary Conserved in Grasses. Frontiers in Plant Science. 11. 3 indexed citations

Jacchia, Sara, Dafni Maria Kagkli, Antoon Lievens, et al.. (2018). Identification of single target taxon-specific reference assays for the most commonly genetically transformed crops using digital droplet PCR. Food Control. 93. 191–200. 17 indexed citations

Lievens, Antoon, Sara Jacchia, Dafni Maria Kagkli, Savini Cristian, & Maddalena Querci. (2016). Measuring Digital PCR Quality: Performance Parameters and Their Optimization. PLoS ONE. 11(5). e0153317–e0153317. 100 indexed citations

Jacchia, Sara, Elena Nardini, Savini Cristian, et al.. (2015). Development, Optimization, and Single Laboratory Validation of an Event-Specific Real-Time PCR Method for the Detection and Quantification of Golden Rice 2 Using a Novel Taxon-Specific Assay. Journal of Agricultural and Food Chemistry. 63(6). 1711–1721. 10 indexed citations

Jacchia, Sara, Elena Nardini, Savini Cristian, et al.. (2015). International Ring Trial for the Validation of an Event-Specific Golden Rice 2 Quantitative Real-Time Polymerase Chain Reaction Method. Journal of Agricultural and Food Chemistry. 63(20). 4954–4965. 9 indexed citations

Dreni, Ludovico, Sara Jacchia, Fabio Fornara, et al.. (2007). The D‐lineage MADS‐box gene OsMADS13 controls ovule identity in rice. The Plant Journal. 52(4). 690–699. 174 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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