Susanna Vichi

30 total papers · 1.6k total citations
24 papers, 1.2k citations indexed

About

Susanna Vichi is a scholar working on Environmental Chemistry, Oceanography and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Susanna Vichi has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Chemistry, 8 papers in Oceanography and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Susanna Vichi's work include Aquatic Ecosystems and Phytoplankton Dynamics (10 papers), Marine and coastal ecosystems (8 papers) and Biocrusts and Microbial Ecology (7 papers). Susanna Vichi is often cited by papers focused on Aquatic Ecosystems and Phytoplankton Dynamics (10 papers), Marine and coastal ecosystems (8 papers) and Biocrusts and Microbial Ecology (7 papers). Susanna Vichi collaborates with scholars based in Italy, France and Netherlands. Susanna Vichi's co-authors include Emanuela Testai, Enzo Funari, Franca M. Buratti, Simona Scardala, Maura Manganelli, Mara Stefanelli, Simonetta Gemma, Nathalie Arnich, Valérie Fessard and Ronel Biré and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Research and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Susanna Vichi

24 papers receiving 1.2k citations

Hit Papers

Cyanotoxins: producing or... 2017 2026 2020 2023 2017 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Susanna Vichi 726 370 284 194 160 24 1.2k
Simona Scardala 757 1.0× 413 1.1× 274 1.0× 207 1.1× 125 0.8× 22 993
Xingde Du 436 0.6× 191 0.5× 157 0.6× 115 0.6× 470 2.9× 33 1.3k
A.R. Humpage 988 1.4× 356 1.0× 263 0.9× 241 1.2× 309 1.9× 18 1.2k
Remedios Guzmán‐Guillén 621 0.9× 269 0.7× 203 0.7× 153 0.8× 293 1.8× 40 928
Maree J. Smith 1.0k 1.4× 348 0.9× 275 1.0× 244 1.3× 343 2.1× 18 1.2k
MA Ya 377 0.5× 165 0.4× 133 0.5× 107 0.6× 432 2.7× 25 1.2k
Maura Manganelli 777 1.1× 616 1.7× 266 0.9× 353 1.8× 131 0.8× 26 1.2k
Suzanne Froscio 890 1.2× 276 0.7× 279 1.0× 206 1.1× 417 2.6× 22 1.2k
Robyn K. Chiswell 1.0k 1.4× 334 0.9× 266 0.9× 234 1.2× 348 2.2× 14 1.2k
G. R. Shaw 868 1.2× 378 1.0× 256 0.9× 254 1.3× 257 1.6× 37 1.2k

Countries citing papers authored by Susanna Vichi

Since Specialization
Citations

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

Fields of papers citing papers by Susanna Vichi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanna Vichi

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