Paula Maza‐Márquez

41 total papers · 973 total citations
34 papers, 766 citations indexed

About

Paula Maza‐Márquez is a scholar working on Pollution, Ecology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Paula Maza‐Márquez has authored 34 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pollution, 13 papers in Ecology and 11 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Paula Maza‐Márquez's work include Wastewater Treatment and Nitrogen Removal (16 papers), Microbial Community Ecology and Physiology (11 papers) and Water Treatment and Disinfection (9 papers). Paula Maza‐Márquez is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (16 papers), Microbial Community Ecology and Physiology (11 papers) and Water Treatment and Disinfection (9 papers). Paula Maza‐Márquez collaborates with scholars based in Spain, Finland and Italy. Paula Maza‐Márquez's co-authors include J. González‐López, B. Rodelas, Alejandro González‐Martínez, Francisco Osorio, Alejandro Rodríguez–Sánchez, Riku Vahala, Barbara Muñoz-Palazón, Ramiro Vilchez‐Vargas, Clementina Pozo and Elisabet Aranda and has published in prestigious journals such as The Science of The Total Environment, Water Research and Bioresource Technology.

In The Last Decade

Paula Maza‐Márquez

34 papers receiving 758 citations

Author Peers

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

Author						Papers	Cites
Paula Maza‐Márquez	481	181	158	152	139	34	766
Najla Mhiri	446 0.9×	163 0.9×	75 0.5×	116 0.8×	95 0.7×	32	894
Belén Juárez-Jiménez	421 0.9×	138 0.8×	117 0.7×	136 0.9×	146 1.1×	29	817
Yangwu Chen	389 0.8×	137 0.8×	214 1.4×	129 0.8×	177 1.3×	41	703
Hong Chen	416 0.9×	79 0.4×	144 0.9×	153 1.0×	190 1.4×	29	771
Teng Zhang	436 0.9×	113 0.6×	167 1.1×	107 0.7×	157 1.1×	20	681
Houzhen Zhou	470 1.0×	202 1.1×	169 1.1×	133 0.9×	89 0.6×	36	672
Aimin Li	418 0.9×	166 0.9×	142 0.9×	102 0.7×	137 1.0×	24	642
Jingyeong Shin	569 1.2×	112 0.6×	106 0.7×	108 0.7×	161 1.2×	34	891
Jin Huang	405 0.8×	124 0.7×	135 0.9×	62 0.4×	124 0.9×	49	706
Paulina Rusanowska	355 0.7×	104 0.6×	153 1.0×	73 0.5×	130 0.9×	48	795

Countries citing papers authored by Paula Maza‐Márquez

Since Specialization

Citations

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

Fields of papers citing papers by Paula Maza‐Márquez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula Maza‐Márquez. 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 Paula Maza‐Márquez. The network helps show where Paula Maza‐Márquez may publish in the future.

Co-authorship network of co-authors of Paula Maza‐Márquez

This figure shows the co-authorship network connecting the top 25 collaborators of Paula Maza‐Márquez. A scholar is included among the top collaborators of Paula Maza‐Márquez 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 Paula Maza‐Márquez. Paula Maza‐Márquez 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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