Chiara Sepulcri

50 total papers · 1.4k total citations
25 papers, 398 citations indexed

About

Chiara Sepulcri is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Chiara Sepulcri has authored 25 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 13 papers in Epidemiology and 3 papers in Surgery. Recurrent topics in Chiara Sepulcri's work include Antifungal resistance and susceptibility (8 papers), Fungal Infections and Studies (7 papers) and COVID-19 Clinical Research Studies (4 papers). Chiara Sepulcri is often cited by papers focused on Antifungal resistance and susceptibility (8 papers), Fungal Infections and Studies (7 papers) and COVID-19 Clinical Research Studies (4 papers). Chiara Sepulcri collaborates with scholars based in Italy, Belarus and United States. Chiara Sepulcri's co-authors include Daniele Roberto Giacobbe, Matteo Bassetti, Antonio Vena, Małgorzata Mikulska, Laura Magnasco, Maddalena Peghin, Chiara Dentone, Filippo Del Puente, Federica Briano and Silvia Dettori and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Clinical Microbiology and Infection.

In The Last Decade

Chiara Sepulcri

21 papers receiving 393 citations

Hit Papers

Triple Combination Therap... 2023 2026 2024 2023 20 40 60

Author Peers

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

Author Last Decade Papers Cites
Chiara Sepulcri 230 158 114 91 91 25 398
Spyridon Karageorgos 152 0.7× 90 0.6× 73 0.6× 51 0.6× 52 0.6× 29 419
Anupop Jitmuang 144 0.6× 214 1.4× 128 1.1× 76 0.8× 48 0.5× 33 424
Alexander Rombauts 147 0.6× 130 0.8× 120 1.1× 72 0.8× 48 0.5× 18 360
Pavithra Srinivas 90 0.4× 95 0.6× 205 1.8× 137 1.5× 71 0.8× 22 413
Damiano Bragantini 201 0.9× 100 0.6× 196 1.7× 88 1.0× 97 1.1× 19 439
Alessandra Belati 70 0.3× 75 0.5× 163 1.4× 123 1.4× 90 1.0× 27 356
Elizabeth A. Lakota 143 0.6× 174 1.1× 112 1.0× 142 1.6× 18 0.2× 28 424
Jaime Lora‐Tamayo 116 0.5× 79 0.5× 201 1.8× 69 0.8× 75 0.8× 35 406
R. Koncan 133 0.6× 133 0.8× 98 0.9× 47 0.5× 34 0.4× 27 352
Inmaculada López-Montesinos 97 0.4× 87 0.6× 102 0.9× 55 0.6× 52 0.6× 25 334

Countries citing papers authored by Chiara Sepulcri

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Sepulcri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Sepulcri

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