MC Casado-Martínez

58 total papers · 1.4k total citations
46 papers, 1.1k citations indexed

About

MC Casado-Martínez is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Environmental Chemistry. According to data from OpenAlex, MC Casado-Martínez has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Health, Toxicology and Mutagenesis, 29 papers in Pollution and 12 papers in Environmental Chemistry. Recurrent topics in MC Casado-Martínez's work include Environmental Toxicology and Ecotoxicology (40 papers), Heavy metals in environment (21 papers) and Toxic Organic Pollutants Impact (10 papers). MC Casado-Martínez is often cited by papers focused on Environmental Toxicology and Ecotoxicology (40 papers), Heavy metals in environment (21 papers) and Toxic Organic Pollutants Impact (10 papers). MC Casado-Martínez collaborates with scholars based in Spain, Switzerland and United Kingdom. MC Casado-Martínez's co-authors include T. Ángel DelValls, Philip S. Rainbow, Jesús M. Forja, Brian D. Smith, Inmaculada Riba, Marı́a Jesús Belzunce, José Luis Inglés Buceta, Samuel N. Luoma, Javier R. Viguri and Julián Blasco and has published in prestigious journals such as Journal of Hazardous Materials, Environmental Pollution and Chemosphere.

In The Last Decade

MC Casado-Martínez

46 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
MC Casado-Martínez 748 696 199 111 109 46 1.1k
Yun‐Ru Ju 862 1.2× 868 1.2× 113 0.6× 160 1.4× 68 0.6× 67 1.5k
Espen Eek 628 0.8× 560 0.8× 148 0.7× 115 1.0× 113 1.0× 43 1.1k
Lassaâd Chouba 493 0.7× 399 0.6× 100 0.5× 140 1.3× 120 1.1× 39 942
Paulo Roberto Martins Baisch 639 0.9× 600 0.9× 278 1.4× 133 1.2× 46 0.4× 55 1.2k
Badreddine Barhoumi 727 1.0× 446 0.6× 93 0.5× 71 0.6× 67 0.6× 36 1.0k
Xiangfeng Zeng 279 0.4× 481 0.7× 168 0.8× 131 1.2× 74 0.7× 46 1.1k
Luciane Alves Maranho 779 1.0× 879 1.3× 148 0.7× 113 1.0× 119 1.1× 45 1.4k
Larissa Dsikowitzky 631 0.8× 810 1.2× 137 0.7× 175 1.6× 88 0.8× 42 1.4k
Spyros P. Pavlou 1.2k 1.5× 801 1.2× 143 0.7× 102 0.9× 153 1.4× 20 1.4k
Judit Kálmán 473 0.6× 491 0.7× 257 1.3× 64 0.6× 119 1.1× 28 1.0k

Countries citing papers authored by MC Casado-Martínez

Since Specialization
Citations

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

Fields of papers citing papers by MC Casado-Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of MC Casado-Martínez

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