Mariana Matos

19 total papers · 530 total citations
18 papers, 409 citations indexed

About

Mariana Matos is a scholar working on Biomaterials, Pollution and Molecular Biology. According to data from OpenAlex, Mariana Matos has authored 18 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomaterials, 6 papers in Pollution and 4 papers in Molecular Biology. Recurrent topics in Mariana Matos's work include biodegradable polymer synthesis and properties (12 papers), Microplastics and Plastic Pollution (6 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Mariana Matos is often cited by papers focused on biodegradable polymer synthesis and properties (12 papers), Microplastics and Plastic Pollution (6 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Mariana Matos collaborates with scholars based in Portugal, Spain and United Kingdom. Mariana Matos's co-authors include Maria A.M. Reis, Fernando Silva, Gilda Carvalho, Christophe Roca, Elisabete B. Freitas, Valérie Guillard, Nuno C. Marques, Hélène Angellier‐Coussy, Cédric Totée and Filomena Freitas and has published in prestigious journals such as The Science of The Total Environment, Chemical Engineering Journal and International Journal of Molecular Sciences.

In The Last Decade

Mariana Matos

18 papers receiving 402 citations

Author Peers

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

Author						Papers	Cites
Mariana Matos	258	152	129	126	37	18	409
Fernando Silva	245 0.9×	200 1.3×	90 0.7×	97 0.8×	32 0.9×	17	426
Asif Rahman	216 0.8×	151 1.0×	98 0.8×	121 1.0×	20 0.5×	19	422
Suchada Chanprateep Napathorn	283 1.1×	164 1.1×	141 1.1×	122 1.0×	10 0.3×	27	420
Poorna Chandrika Sabapathy	257 1.0×	192 1.3×	76 0.6×	105 0.8×	12 0.3×	14	398
Marco Vastano	179 0.7×	104 0.7×	130 1.0×	118 0.9×	25 0.7×	17	396
Giorgia Pagliano	198 0.8×	134 0.9×	111 0.9×	111 0.9×	76 2.1×	8	392
Jang Yeon Cho	338 1.3×	296 1.9×	111 0.9×	128 1.0×	14 0.4×	20	493
Mariel Pérez-Zabaleta	230 0.9×	170 1.1×	155 1.2×	128 1.0×	28 0.8×	18	418
Sion Ham	170 0.7×	146 1.0×	114 0.9×	89 0.7×	15 0.4×	17	370
Gowrishankar Srinivasan	234 0.9×	114 0.8×	43 0.3×	133 1.1×	21 0.6×	24	475

Countries citing papers authored by Mariana Matos

Since Specialization

Citations

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

Fields of papers citing papers by Mariana Matos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariana Matos

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