Camilla Ceccarani

51 total papers · 1.3k total citations
26 papers, 924 citations indexed

About

Camilla Ceccarani is a scholar working on Molecular Biology, Microbiology and Epidemiology. According to data from OpenAlex, Camilla Ceccarani has authored 26 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Microbiology and 9 papers in Epidemiology. Recurrent topics in Camilla Ceccarani's work include Gut microbiota and health (12 papers), Reproductive tract infections research (10 papers) and Diet and metabolism studies (6 papers). Camilla Ceccarani is often cited by papers focused on Gut microbiota and health (12 papers), Reproductive tract infections research (10 papers) and Diet and metabolism studies (6 papers). Camilla Ceccarani collaborates with scholars based in Italy and United States. Camilla Ceccarani's co-authors include Marco Severgnini, Clarissa Consolandi, Claudio Foschi, Antonella Marangoni, Tania Camboni, Luca Laghi, Antonietta D’Antuono, Valeria Gaspari, Beatrice Vitali and Carola Parolin and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Camilla Ceccarani

23 papers receiving 912 citations

Hit Papers

Unraveling gut microbiota... 2018 2026 2020 2023 2018 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Camilla Ceccarani 491 239 191 189 168 26 924
Luca Mogna 620 1.3× 96 0.4× 184 1.0× 87 0.5× 148 0.9× 35 1.2k
Rafael Campos‐Rodríguez 340 0.7× 51 0.2× 172 0.9× 101 0.5× 21 0.1× 51 1.2k
Shannon Seney 284 0.6× 150 0.6× 49 0.3× 295 1.6× 53 0.3× 24 984
Wieland Schroedl 415 0.8× 76 0.3× 337 1.8× 208 1.1× 7 0.0× 24 1.2k
Zihao Ou 782 1.6× 63 0.3× 255 1.3× 91 0.5× 19 0.1× 26 1.1k
Nengzhang Li 464 0.9× 187 0.8× 149 0.8× 107 0.6× 14 0.1× 39 1.1k
Tania Camboni 445 0.9× 234 1.0× 82 0.4× 222 1.2× 9 0.1× 25 831
Manoj Kumar 309 0.6× 120 0.5× 75 0.4× 230 1.2× 26 0.2× 48 965
Teng Ma 731 1.5× 29 0.1× 229 1.2× 58 0.3× 40 0.2× 24 1.0k
Selvasankar Murugesan 582 1.2× 65 0.3× 344 1.8× 152 0.8× 8 0.0× 43 1.0k

Countries citing papers authored by Camilla Ceccarani

Since Specialization
Citations

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

Fields of papers citing papers by Camilla Ceccarani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Camilla Ceccarani

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