Pedro Martínez-Paz

41 total papers · 1.3k total citations
25 papers, 800 citations indexed

About

Pedro Martínez-Paz is a scholar working on Health, Toxicology and Mutagenesis, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Pedro Martínez-Paz has authored 25 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Health, Toxicology and Mutagenesis, 6 papers in Infectious Diseases and 6 papers in Molecular Biology. Recurrent topics in Pedro Martínez-Paz's work include Environmental Toxicology and Ecotoxicology (8 papers), COVID-19 Clinical Research Studies (6 papers) and Insect and Pesticide Research (6 papers). Pedro Martínez-Paz is often cited by papers focused on Environmental Toxicology and Ecotoxicology (8 papers), COVID-19 Clinical Research Studies (6 papers) and Insect and Pesticide Research (6 papers). Pedro Martínez-Paz collaborates with scholars based in Spain and United Kingdom. Pedro Martínez-Paz's co-authors include Mónica Morales, José‐Luis Martínez‐Guitarte, Gloria Morcillo, Eduardo Tamayo, Álvaro Tamayo-Velasco, Hugo Gonzalo‐Benito, Raquel Martín-Folgar, Rosario Planelló, Marta Martín-Fernández and Estrella Cortés and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and International Journal of Molecular Sciences.

In The Last Decade

Pedro Martínez-Paz

24 papers receiving 790 citations

Author Peers

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

Author Last Decade Papers Cites
Pedro Martínez-Paz 298 236 167 110 105 25 800
Manish Mishra 226 0.8× 333 1.4× 59 0.4× 104 0.9× 16 0.2× 22 855
Xue Fu 268 0.9× 248 1.1× 37 0.2× 32 0.3× 27 0.3× 40 930
D. Nadeau 286 1.0× 302 1.3× 108 0.6× 54 0.5× 12 0.1× 32 1.0k
Knut-Jan Andersen 169 0.6× 191 0.8× 50 0.3× 46 0.4× 16 0.2× 74 934
Yihan Yu 127 0.4× 214 0.9× 242 1.4× 10 0.1× 207 2.0× 44 921
Monika Chabicovsky 326 1.1× 340 1.4× 112 0.7× 48 0.4× 11 0.1× 25 894
Shaowei Liao 59 0.2× 191 0.8× 119 0.7× 58 0.5× 93 0.9× 27 753
Xu Wang 90 0.3× 160 0.7× 47 0.3× 159 1.4× 65 0.6× 36 740
Liqun Zhou 147 0.5× 249 1.1× 70 0.4× 11 0.1× 144 1.4× 37 870
Karen Elizabeth Nava‐Castro 135 0.5× 246 1.0× 92 0.6× 23 0.2× 47 0.4× 54 1.1k

Countries citing papers authored by Pedro Martínez-Paz

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Martínez-Paz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro Martínez-Paz. 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 Pedro Martínez-Paz. The network helps show where Pedro Martínez-Paz may publish in the future.

Co-authorship network of co-authors of Pedro Martínez-Paz

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Martínez-Paz. A scholar is included among the top collaborators of Pedro Martínez-Paz 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 Pedro Martínez-Paz. Pedro Martínez-Paz 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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