Juan Muñoz-Arnanz

51 total papers · 1.3k total citations
40 papers, 991 citations indexed

About

Juan Muñoz-Arnanz is a scholar working on Health, Toxicology and Mutagenesis, Ecology and Atmospheric Science. According to data from OpenAlex, Juan Muñoz-Arnanz has authored 40 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Health, Toxicology and Mutagenesis, 13 papers in Ecology and 7 papers in Atmospheric Science. Recurrent topics in Juan Muñoz-Arnanz's work include Toxic Organic Pollutants Impact (28 papers), Mercury impact and mitigation studies (20 papers) and Air Quality and Health Impacts (9 papers). Juan Muñoz-Arnanz is often cited by papers focused on Toxic Organic Pollutants Impact (28 papers), Mercury impact and mitigation studies (20 papers) and Air Quality and Health Impacts (9 papers). Juan Muñoz-Arnanz collaborates with scholars based in Spain, Italy and France. Juan Muñoz-Arnanz's co-authors include Begoña Jiménez, José L. Roscales, María Cristina Fossi, Alba Vicente, Letizia Marsili, Cristina Panti, José I. Aguirre, Maria Grazia Finoia, Jacob González‐Solís and Grazina Pacepavicius and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Juan Muñoz-Arnanz

40 papers receiving 984 citations

Author Peers

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

Author Last Decade Papers Cites
Juan Muñoz-Arnanz 755 293 194 149 123 40 991
Hyun‐Min Hwang 602 0.8× 471 1.6× 142 0.7× 85 0.6× 66 0.5× 23 1.0k
Sara M. Long 729 1.0× 458 1.6× 251 1.3× 103 0.7× 271 2.2× 46 1.2k
Usman Ali 660 0.9× 428 1.5× 125 0.6× 73 0.5× 91 0.7× 60 1.1k
Nilima Gandhi 656 0.9× 325 1.1× 108 0.6× 57 0.4× 150 1.2× 42 890
Carlos Green-Ruíz 446 0.6× 512 1.7× 181 0.9× 104 0.7× 91 0.7× 43 1.1k
Roxana Sühring 943 1.2× 452 1.5× 53 0.3× 253 1.7× 172 1.4× 37 1.2k
Catherine Munschy 881 1.2× 371 1.3× 111 0.6× 125 0.8× 227 1.8× 42 1.1k
Hui-Ling Ouyang 663 0.9× 340 1.2× 100 0.5× 135 0.9× 291 2.4× 25 1.1k
Terry Kolic 814 1.1× 307 1.0× 69 0.4× 103 0.7× 156 1.3× 29 944
Isabel Moreira 859 1.1× 327 1.1× 291 1.5× 124 0.8× 216 1.8× 44 1.1k

Countries citing papers authored by Juan Muñoz-Arnanz

Since Specialization
Citations

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

Fields of papers citing papers by Juan Muñoz-Arnanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Muñoz-Arnanz. 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 Juan Muñoz-Arnanz. The network helps show where Juan Muñoz-Arnanz may publish in the future.

Co-authorship network of co-authors of Juan Muñoz-Arnanz

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Muñoz-Arnanz. A scholar is included among the top collaborators of Juan Muñoz-Arnanz 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 Juan Muñoz-Arnanz. Juan Muñoz-Arnanz 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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