A Siracusano

31 total papers · 867 total citations
28 papers, 715 citations indexed

About

A Siracusano is a scholar working on Epidemiology, Infectious Diseases and Pathology and Forensic Medicine. According to data from OpenAlex, A Siracusano has authored 28 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 15 papers in Infectious Diseases and 12 papers in Pathology and Forensic Medicine. Recurrent topics in A Siracusano's work include Pneumocystis jirovecii pneumonia detection and treatment (14 papers), Parasitic infections in humans and animals (12 papers) and Tuberculosis Research and Epidemiology (9 papers). A Siracusano is often cited by papers focused on Pneumocystis jirovecii pneumonia detection and treatment (14 papers), Parasitic infections in humans and animals (12 papers) and Tuberculosis Research and Epidemiology (9 papers). A Siracusano collaborates with scholars based in Italy, United Kingdom and United States. A Siracusano's co-authors include Rachele Riganò, Elisabetta Profumo, Elena Ortona, Antonella Teggi, Paola Margutti, Brigitta Buttari, Enrica Tamburrini, S Ioppolo, Elena Visconti and Paola Mencarini and has published in prestigious journals such as Journal of Clinical Microbiology, Infection and Immunity and Clinical & Experimental Immunology.

In The Last Decade

A Siracusano

28 papers receiving 692 citations

Author Peers

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

Author Last Decade Papers Cites
A Siracusano 411 330 321 242 232 28 715
Solange Bresson‐Hadni 608 1.5× 353 1.1× 153 0.5× 479 2.0× 114 0.5× 25 823
Cecilia Casaravilla 503 1.2× 475 1.4× 145 0.5× 243 1.0× 44 0.2× 31 810
Verónica Fernández 248 0.6× 276 0.8× 103 0.3× 124 0.5× 90 0.4× 28 620
Peter Angritt 104 0.3× 116 0.4× 165 0.5× 56 0.2× 274 1.2× 36 624
R. Siboo 190 0.5× 140 0.4× 61 0.2× 81 0.3× 49 0.2× 33 638
Sylvia Dematteis 508 1.2× 471 1.4× 117 0.4× 240 1.0× 15 0.1× 34 753
Z. Ali‐Khan 479 1.2× 371 1.1× 165 0.5× 178 0.7× 22 0.1× 51 866
Antonio Giorgio 246 0.6× 48 0.1× 239 0.7× 408 1.7× 288 1.2× 43 826
Sheryl van Nunen 140 0.3× 123 0.4× 72 0.2× 244 1.0× 55 0.2× 31 896
Beate Gruener 629 1.5× 226 0.7× 247 0.8× 571 2.4× 33 0.1× 22 682

Countries citing papers authored by A Siracusano

Since Specialization
Citations

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

Fields of papers citing papers by A Siracusano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A Siracusano

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