Tea Carletti

21 total papers · 632 total citations
14 papers, 374 citations indexed

About

Tea Carletti is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Immunology. According to data from OpenAlex, Tea Carletti has authored 14 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Public Health, Environmental and Occupational Health, 9 papers in Infectious Diseases and 3 papers in Immunology. Recurrent topics in Tea Carletti's work include Mosquito-borne diseases and control (11 papers), Viral Infections and Vectors (9 papers) and Vector-borne infectious diseases (3 papers). Tea Carletti is often cited by papers focused on Mosquito-borne diseases and control (11 papers), Viral Infections and Vectors (9 papers) and Vector-borne infectious diseases (3 papers). Tea Carletti collaborates with scholars based in Italy, Spain and Moldova. Tea Carletti's co-authors include Alessandro Marcello, Mohammad Khalid Zakaria, Laia Caja, Aristidis Moustakas, E‐Jean Tan, Sylvie Thuault, Carl‐Henrik Heldin, Amelina Albornoz, Laura Reale and Danilo Licastro and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Virology.

In The Last Decade

Tea Carletti

13 papers receiving 367 citations

Author Peers

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

Author Last Decade Papers Cites
Tea Carletti 191 172 117 63 45 14 374
Sumalee Jindadamrongwech 187 1.0× 160 0.9× 92 0.8× 18 0.3× 23 0.5× 18 424
Claire de la Calle 129 0.7× 62 0.4× 70 0.6× 22 0.3× 23 0.5× 11 369
Sudhanshu Vrati 221 1.2× 227 1.3× 65 0.6× 43 0.7× 14 0.3× 15 432
Annegret Bitzer 140 0.7× 130 0.8× 127 1.1× 13 0.2× 41 0.9× 8 334
Yona Zaffran 125 0.7× 109 0.6× 70 0.6× 176 2.8× 15 0.3× 8 402
Benjamin K. Dickerman 185 1.0× 29 0.2× 151 1.3× 47 0.7× 45 1.0× 15 368
Abdoulaye Barry 134 0.7× 100 0.6× 71 0.6× 70 1.1× 12 0.3× 25 406
Xiao Sun 117 0.6× 117 0.7× 89 0.8× 46 0.7× 21 0.5× 12 341
Ren‐Huang Wu 182 1.0× 144 0.8× 141 1.2× 7 0.1× 18 0.4× 11 340
Marielle Lebrun 40 0.2× 124 0.7× 122 1.0× 33 0.5× 49 1.1× 19 386

Countries citing papers authored by Tea Carletti

Since Specialization
Citations

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

Fields of papers citing papers by Tea Carletti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tea Carletti

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