Sveva Pelliccia

59 total papers · 1.4k total citations
39 papers, 889 citations indexed

About

Sveva Pelliccia is a scholar working on Organic Chemistry, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Sveva Pelliccia has authored 39 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Organic Chemistry, 15 papers in Molecular Biology and 8 papers in Infectious Diseases. Recurrent topics in Sveva Pelliccia's work include Multicomponent Synthesis of Heterocycles (8 papers), Chemical Synthesis and Analysis (5 papers) and Synthesis and Biological Evaluation (5 papers). Sveva Pelliccia is often cited by papers focused on Multicomponent Synthesis of Heterocycles (8 papers), Chemical Synthesis and Analysis (5 papers) and Synthesis and Biological Evaluation (5 papers). Sveva Pelliccia collaborates with scholars based in Italy, United Kingdom and United States. Sveva Pelliccia's co-authors include Ettore Novellino, Mariateresa Giustiniano, Gian Cesare Tron, Rolando Cannalire, Luca Sancineto, Romano Silvestri, Giuseppe La Regina, Valeria Famiglini, Antonio Coluccia and Vincenzo Summa and has published in prestigious journals such as Chemical Society Reviews, International Journal of Molecular Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Sveva Pelliccia

38 papers receiving 875 citations

Hit Papers

Visible light photocataly... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Sveva Pelliccia 607 246 121 63 58 39 889
Ryan D. Cohen 527 0.9× 383 1.6× 47 0.4× 60 1.0× 34 0.6× 52 923
Christiane André‐Barrès 513 0.8× 252 1.0× 42 0.3× 29 0.5× 55 0.9× 51 804
Esra Tatar 571 0.9× 159 0.6× 82 0.7× 24 0.4× 62 1.1× 37 812
Partha Pratim Saikia 600 1.0× 265 1.1× 49 0.4× 19 0.3× 57 1.0× 29 969
Lennart Brewitz 517 0.9× 393 1.6× 80 0.7× 157 2.5× 102 1.8× 45 893
Murugaiah A. M. Subbaiah 795 1.3× 180 0.7× 47 0.4× 72 1.1× 50 0.9× 28 1.0k
Kevin M. Belyk 820 1.4× 308 1.3× 66 0.5× 53 0.8× 23 0.4× 31 1.0k
Mônica M. Bastos 593 1.0× 210 0.9× 126 1.0× 57 0.9× 29 0.5× 48 825
Maria Funicello 768 1.3× 244 1.0× 86 0.7× 27 0.4× 29 0.5× 77 946
Jie Zhu 538 0.9× 156 0.6× 191 1.6× 21 0.3× 32 0.6× 44 875

Countries citing papers authored by Sveva Pelliccia

Since Specialization
Citations

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

Fields of papers citing papers by Sveva Pelliccia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sveva Pelliccia

This figure shows the co-authorship network connecting the top 25 collaborators of Sveva Pelliccia. A scholar is included among the top collaborators of Sveva Pelliccia 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 Sveva Pelliccia. Sveva Pelliccia 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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