Paula Paíga

73 total papers · 3.0k total citations
64 papers, 2.4k citations indexed

About

Paula Paíga is a scholar working on Analytical Chemistry, Pollution and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Paula Paíga has authored 64 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Analytical Chemistry, 26 papers in Pollution and 20 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Paula Paíga's work include Analytical chemistry methods development (28 papers), Pharmaceutical and Antibiotic Environmental Impacts (24 papers) and Pesticide Residue Analysis and Safety (18 papers). Paula Paíga is often cited by papers focused on Analytical chemistry methods development (28 papers), Pharmaceutical and Antibiotic Environmental Impacts (24 papers) and Pesticide Residue Analysis and Safety (18 papers). Paula Paíga collaborates with scholars based in Portugal, Spain and Norway. Paula Paíga's co-authors include Cristina Delerue‐Matos, Lúcia H.M.L.M. Santos, Manuela Correia, Simone Morais, Sandra Ramos, Jaime Gabriel Silva, Sandra Jorge, M. Beatriz P.P. Oliveira, Maria João Ramalhosa and Aleksandar Lolić and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Bioresource Technology.

In The Last Decade

Paula Paíga

64 papers receiving 2.3k citations

Author Peers

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

Author Last Decade Papers Cites
Paula Paíga 1.2k 728 648 301 282 64 2.4k
Emma Gracia‐Lor 1.5k 1.3× 780 1.1× 714 1.1× 208 0.7× 244 0.9× 47 2.7k
Paul Yang 1.0k 0.9× 631 0.9× 487 0.8× 330 1.1× 368 1.3× 66 2.4k
Sonia Herrera 986 0.8× 560 0.8× 481 0.7× 286 1.0× 297 1.1× 35 1.8k
Maria Teresa Galceran 1.1k 1.0× 776 1.1× 818 1.3× 367 1.2× 311 1.1× 53 2.7k
Cécile Cren‐Olivé 1.2k 1.0× 730 1.0× 828 1.3× 452 1.5× 280 1.0× 52 2.8k
Magda Caban 1.5k 1.3× 904 1.2× 694 1.1× 166 0.6× 300 1.1× 97 2.8k
Noelia Negreira 915 0.8× 489 0.7× 776 1.2× 129 0.4× 207 0.7× 49 2.1k
Shuxuan Liang 670 0.6× 508 0.7× 546 0.8× 396 1.3× 288 1.0× 114 2.6k
Anne Togola 1.2k 1.0× 601 0.8× 711 1.1× 127 0.4× 230 0.8× 36 2.0k
Monika Moeder 1.6k 1.3× 789 1.1× 1.1k 1.7× 133 0.4× 236 0.8× 47 3.0k

Countries citing papers authored by Paula Paíga

Since Specialization
Citations

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

Fields of papers citing papers by Paula Paíga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Paíga

This figure shows the co-authorship network connecting the top 25 collaborators of Paula Paíga. A scholar is included among the top collaborators of Paula Paíga 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 Paíga. Paula Paíga 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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2026