Marianna Conte

54 total papers · 1.5k total citations
35 papers, 1.2k citations indexed

About

Marianna Conte is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Marianna Conte has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Health, Toxicology and Mutagenesis, 22 papers in Atmospheric Science and 13 papers in Environmental Engineering. Recurrent topics in Marianna Conte's work include Air Quality and Health Impacts (23 papers), Atmospheric chemistry and aerosols (19 papers) and Air Quality Monitoring and Forecasting (7 papers). Marianna Conte is often cited by papers focused on Air Quality and Health Impacts (23 papers), Atmospheric chemistry and aerosols (19 papers) and Air Quality Monitoring and Forecasting (7 papers). Marianna Conte collaborates with scholars based in Italy, Croatia and Brazil. Marianna Conte's co-authors include Daniele Contini, Antonio Donateo, Daniela Cesari, Adelaide Dinoi, M. Colacino, Maria Rachele Guascito, E. Piervitali, Eva Merico, Franco Belosi and Fabio Massimo Grasso and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Environmental Pollution.

In The Last Decade

Marianna Conte

33 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Marianna Conte 708 604 377 344 204 35 1.2k
Adelaide Dinoi 969 1.4× 811 1.3× 616 1.6× 362 1.1× 290 1.4× 45 1.5k
Fatemeh Momeniha 1.0k 1.4× 282 0.5× 448 1.2× 160 0.5× 100 0.5× 26 1.3k
Kabindra M. Shakya 557 0.8× 392 0.6× 181 0.5× 151 0.4× 111 0.5× 39 912
Maryam Yarahmadi 639 0.9× 153 0.3× 277 0.7× 173 0.5× 71 0.3× 30 927
Li‐Hao Young 896 1.3× 604 1.0× 315 0.8× 469 1.4× 236 1.2× 64 1.5k
Sadegh Niazi 786 1.1× 149 0.2× 276 0.7× 176 0.5× 44 0.2× 32 1.2k
Jakub Ondráček 968 1.4× 335 0.6× 481 1.3× 108 0.3× 228 1.1× 81 1.5k
Rasa Žalakevičiūtė 626 0.9× 170 0.3× 544 1.4× 314 0.9× 164 0.8× 42 1.2k
Chia‐Pin Chio 805 1.1× 231 0.4× 177 0.5× 109 0.3× 110 0.5× 54 1.4k
Shantanu Kumar Pani 629 0.9× 750 1.2× 197 0.5× 677 2.0× 98 0.5× 42 1.1k

Countries citing papers authored by Marianna Conte

Since Specialization
Citations

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

Fields of papers citing papers by Marianna Conte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marianna Conte

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