Serenella Seccia

39 total papers · 1.4k total citations
35 papers, 1.2k citations indexed

About

Serenella Seccia is a scholar working on Pollution, Food Science and Analytical Chemistry. According to data from OpenAlex, Serenella Seccia has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pollution, 11 papers in Food Science and 10 papers in Analytical Chemistry. Recurrent topics in Serenella Seccia's work include Pesticide Residue Analysis and Safety (10 papers), Insect and Pesticide Research (6 papers) and Microplastics and Plastic Pollution (6 papers). Serenella Seccia is often cited by papers focused on Pesticide Residue Analysis and Safety (10 papers), Insect and Pesticide Research (6 papers) and Microplastics and Plastic Pollution (6 papers). Serenella Seccia collaborates with scholars based in Italy and United States. Serenella Seccia's co-authors include Patrizia Morrica, Paola Fidente, Domenico Montesano, Stefania Albrizio, Danilo Attard Barbini, Francesco Barbato, Roberto Dommarco, Alfonso Di Muccio, Lucia Grumetto and Francesca Ungaro and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Agricultural and Food Chemistry.

In The Last Decade

Serenella Seccia

32 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Serenella Seccia	559	420	270	240	209	35	1.2k
Eiki Watanabe	722 1.3×	498 1.2×	250 0.9×	311 1.3×	210 1.0×	57	1.4k
Nadia Spano	321 0.6×	484 1.2×	186 0.7×	166 0.7×	103 0.5×	63	1.4k
Verónica Cesio	510 0.9×	206 0.5×	223 0.8×	292 1.2×	263 1.3×	29	982
Guo‐Fang Pang	511 0.9×	158 0.4×	143 0.5×	288 1.2×	234 1.1×	38	961
Yongtao Han	898 1.6×	339 0.8×	276 1.0×	548 2.3×	269 1.3×	37	1.4k
Zenglong Chen	622 1.1×	385 0.9×	287 1.1×	226 0.9×	201 1.0×	54	1.3k
Despina Tsipi	536 1.0×	160 0.4×	422 1.6×	513 2.1×	133 0.6×	25	1.2k
Hu Zhang	453 0.8×	177 0.4×	266 1.0×	289 1.2×	178 0.9×	62	1.2k
Ginés Navarro	513 0.9×	200 0.5×	459 1.7×	202 0.8×	305 1.5×	38	1.4k
Sagar C. Utture	683 1.2×	252 0.6×	188 0.7×	339 1.4×	231 1.1×	26	998

Countries citing papers authored by Serenella Seccia

Since Specialization

Citations

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

Fields of papers citing papers by Serenella Seccia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serenella Seccia

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

All Works

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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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