Michela Ghiani

13 total papers · 1.7k total citations
12 papers, 1.4k citations indexed

About

Michela Ghiani is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Oceanography. According to data from OpenAlex, Michela Ghiani has authored 12 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pollution, 6 papers in Health, Toxicology and Mutagenesis and 3 papers in Oceanography. Recurrent topics in Michela Ghiani's work include Toxic Organic Pollutants Impact (5 papers), Aquatic Ecosystems and Phytoplankton Dynamics (2 papers) and Heavy metals in environment (2 papers). Michela Ghiani is often cited by papers focused on Toxic Organic Pollutants Impact (5 papers), Aquatic Ecosystems and Phytoplankton Dynamics (2 papers) and Heavy metals in environment (2 papers). Michela Ghiani collaborates with scholars based in Italy, Belgium and Spain. Michela Ghiani's co-authors include Bruno Paracchini, Bernd Manfred Gawlik, Robert Loos, Locoro Giovanni, Sara Comero, Simona Tavazzi, David Schwesig, Barbora Jarošová, Peter Haglund and Diana C. António and has published in prestigious journals such as Environmental Science & Technology, Water Research and Environmental Pollution.

In The Last Decade

Michela Ghiani

12 papers receiving 1.4k citations

Hit Papers

EU-wide monitoring survey... 2013 2026 2017 2021 2013 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Michela Ghiani 849 669 272 213 181 12 1.4k
Bruno Paracchini 843 1.0× 595 0.9× 270 1.0× 225 1.1× 215 1.2× 9 1.3k
Marta Ricart 771 0.9× 658 1.0× 368 1.4× 282 1.3× 126 0.7× 26 1.6k
H.W. Leung 1.1k 1.3× 552 0.8× 279 1.0× 115 0.5× 167 0.9× 8 1.6k
Marta Villagrasa 928 1.1× 643 1.0× 291 1.1× 236 1.1× 223 1.2× 29 1.6k
Maren Kahle 910 1.1× 474 0.7× 259 1.0× 223 1.0× 286 1.6× 13 1.8k
Satoshi Managaki 1.1k 1.3× 567 0.8× 336 1.2× 107 0.5× 205 1.1× 17 1.5k
Tim aus der Beek 748 0.9× 337 0.5× 446 1.6× 112 0.5× 171 0.9× 20 1.5k
Ninglin Luo 858 1.0× 322 0.5× 322 1.2× 157 0.7× 87 0.5× 17 1.5k
Maria Huerta‐Fontela 984 1.2× 528 0.8× 309 1.1× 180 0.8× 449 2.5× 8 1.4k
Diana C. António 735 0.9× 447 0.7× 254 0.9× 129 0.6× 184 1.0× 10 1.1k

Countries citing papers authored by Michela Ghiani

Since Specialization
Citations

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

Fields of papers citing papers by Michela Ghiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michela Ghiani

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