Stefano Liccioli

38 total papers · 856 total citations
24 papers, 665 citations indexed

About

Stefano Liccioli is a scholar working on Pathology and Forensic Medicine, Parasitology and Ecology. According to data from OpenAlex, Stefano Liccioli has authored 24 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pathology and Forensic Medicine, 12 papers in Parasitology and 11 papers in Ecology. Recurrent topics in Stefano Liccioli's work include Parasitic infections in humans and animals (15 papers), Parasitic Infections and Diagnostics (11 papers) and Congenital Anomalies and Fetal Surgery (9 papers). Stefano Liccioli is often cited by papers focused on Parasitic infections in humans and animals (15 papers), Parasitic Infections and Diagnostics (11 papers) and Congenital Anomalies and Fetal Surgery (9 papers). Stefano Liccioli collaborates with scholars based in Canada, Italy and France. Stefano Liccioli's co-authors include Alessandro Massolo, Susan Kutz, Claudia Klein, Kathreen E. Ruckstuhl, Emily Jenkins, Karen Gesy, Manigandan Lejeune, Pádraig J. Duignan, Christine M. Budke and Carmen Fuentealba and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Applied Ecology.

In The Last Decade

Stefano Liccioli

23 papers receiving 642 citations

Author Peers

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

Author						Papers	Cites
Stefano Liccioli	441	311	306	277	78	24	665
B Shaĭkenov	441 1.0×	363 1.2×	272 0.9×	300 1.1×	70 0.9×	30	776
Karen Gesy	394 0.9×	270 0.9×	275 0.9×	221 0.8×	83 1.1×	19	603
Epp Moks	487 1.1×	347 1.1×	372 1.2×	309 1.1×	41 0.5×	17	689
K. Tackmann	475 1.1×	341 1.1×	268 0.9×	211 0.8×	42 0.5×	13	710
Oscar Jensen	565 1.3×	387 1.2×	490 1.6×	144 0.5×	42 0.5×	29	766
Iskender Ziadinov	486 1.1×	392 1.3×	327 1.1×	142 0.5×	60 0.8×	14	615
Yasuyuki Morishima	379 0.9×	205 0.7×	415 1.4×	372 1.3×	46 0.6×	67	752
David Pleydell	313 0.7×	221 0.7×	150 0.5×	217 0.8×	107 1.4×	29	649
Masao Kamiya	429 1.0×	258 0.8×	296 1.0×	201 0.7×	19 0.2×	54	595
Ludwig Siefert	378 0.9×	323 1.0×	224 0.7×	218 0.8×	23 0.3×	10	571

Countries citing papers authored by Stefano Liccioli

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Liccioli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Liccioli

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