Giedrė Ašmonaitė

13 total papers · 489 total citations
9 papers, 307 citations indexed

About

Giedrė Ašmonaitė is a scholar working on Pollution, Materials Chemistry and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Giedrė Ašmonaitė has authored 9 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pollution, 4 papers in Materials Chemistry and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Giedrė Ašmonaitė's work include Microplastics and Plastic Pollution (7 papers), Nanoparticles: synthesis and applications (4 papers) and Pharmaceutical and Antibiotic Environmental Impacts (2 papers). Giedrė Ašmonaitė is often cited by papers focused on Microplastics and Plastic Pollution (7 papers), Nanoparticles: synthesis and applications (4 papers) and Pharmaceutical and Antibiotic Environmental Impacts (2 papers). Giedrė Ašmonaitė collaborates with scholars based in Sweden, Denmark and Italy. Giedrė Ašmonaitė's co-authors include Bethanie Carney Almroth, Joachim Sturve, Henrik Sundh, Noomi Asker, Karin Larsson, Ingrid Undeland, Scott Boyer, Karine Bresolin de Souza, Britt Wassmur and Henriette Selck and has published in prestigious journals such as Environmental Science & Technology, Aquatic Toxicology and Nanotoxicology.

In The Last Decade

Giedrė Ašmonaitė

9 papers receiving 302 citations

Author Peers

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

Author Last Decade Papers Cites
Giedrė Ašmonaitė 233 106 103 80 47 9 307
Nam-Hui Hong 334 1.4× 141 1.3× 96 0.9× 95 1.2× 69 1.5× 5 359
Giacomo Limonta 325 1.4× 114 1.1× 103 1.0× 74 0.9× 54 1.1× 8 360
Fei Xiong 232 1.0× 102 1.0× 79 0.8× 40 0.5× 49 1.0× 12 310
Kirsten Yeung 232 1.0× 97 0.9× 76 0.7× 121 1.5× 37 0.8× 8 324
Ítalo Nascimento Freitas 232 1.0× 91 0.9× 77 0.7× 60 0.8× 58 1.2× 15 282
Hannes Reinwald 230 1.0× 100 0.9× 46 0.4× 119 1.5× 38 0.8× 11 363
Thales Quintão Chagas 226 1.0× 44 0.4× 123 1.2× 148 1.9× 44 0.9× 11 349
Walison Augusto da Silva Brito 217 0.9× 93 0.9× 71 0.7× 59 0.7× 47 1.0× 16 295
Ziqi Zhang 199 0.9× 118 1.1× 29 0.3× 37 0.5× 42 0.9× 19 307
Dongyoung Lim 149 0.6× 83 0.8× 146 1.4× 70 0.9× 30 0.6× 8 342

Countries citing papers authored by Giedrė Ašmonaitė

Since Specialization
Citations

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

Fields of papers citing papers by Giedrė Ašmonaitė

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giedrė Ašmonaitė

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