Maya Al-Sid-Cheikh

1.1k total citations
16 papers, 836 citations indexed

About

Maya Al-Sid-Cheikh is a scholar working on Pollution, Industrial and Manufacturing Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Maya Al-Sid-Cheikh has authored 16 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pollution, 5 papers in Industrial and Manufacturing Engineering and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Maya Al-Sid-Cheikh's work include Microplastics and Plastic Pollution (7 papers), Recycling and Waste Management Techniques (5 papers) and Heavy metals in environment (4 papers). Maya Al-Sid-Cheikh is often cited by papers focused on Microplastics and Plastic Pollution (7 papers), Recycling and Waste Management Techniques (5 papers) and Heavy metals in environment (4 papers). Maya Al-Sid-Cheikh collaborates with scholars based in United Kingdom, France and Canada. Maya Al-Sid-Cheikh's co-authors include Richard C. Thompson, Claude Rouleau, Florence N.F. Parker-Jurd, Theodore B. Henry, K.A. Stevenson, Steve Rowland, Émilien Pelletier, Aline Dia, Mélanie Davranche and Mathieu Pédrot and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

Maya Al-Sid-Cheikh

16 papers receiving 824 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maya Al-Sid-Cheikh United Kingdom 10 652 325 245 156 138 16 836
Duofei Hu China 11 785 1.2× 461 1.4× 191 0.8× 111 0.7× 172 1.2× 18 1.0k
A.A. Markus Netherlands 11 438 0.7× 238 0.7× 181 0.7× 98 0.6× 80 0.6× 15 625
Mathieu Lapointe Canada 15 627 1.0× 680 2.1× 79 0.3× 91 0.6× 170 1.2× 27 1.2k
Marco Pittroff Germany 9 1.2k 1.9× 942 2.9× 120 0.5× 150 1.0× 168 1.2× 12 1.3k
Sirui Ma China 9 803 1.2× 507 1.6× 103 0.4× 72 0.5× 287 2.1× 12 925
Liu Gao China 16 622 1.0× 337 1.0× 133 0.5× 56 0.4× 294 2.1× 45 926
Qin Ou China 14 531 0.8× 331 1.0× 107 0.4× 75 0.5× 96 0.7× 19 718
Giacomo Grassi Italy 17 668 1.0× 239 0.7× 503 2.1× 181 1.2× 205 1.5× 19 1.0k
Mengfan Lang China 7 1.2k 1.8× 901 2.8× 171 0.7× 100 0.6× 360 2.6× 8 1.2k

Countries citing papers authored by Maya Al-Sid-Cheikh

Since Specialization
Citations

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

Fields of papers citing papers by Maya Al-Sid-Cheikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya Al-Sid-Cheikh. 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 Maya Al-Sid-Cheikh. The network helps show where Maya Al-Sid-Cheikh may publish in the future.

Co-authorship network of co-authors of Maya Al-Sid-Cheikh

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Al-Sid-Cheikh. A scholar is included among the top collaborators of Maya Al-Sid-Cheikh 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 Maya Al-Sid-Cheikh. Maya Al-Sid-Cheikh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Al-Sid-Cheikh, Maya, et al.. (2024). Qualitative and Quantitative Analysis of Tire Wear Particles (TWPs) in Road Dust Using a Novel Mode of Operation of TGA-GC/MS. Environmental Science & Technology Letters. 12(1). 79–84. 4 indexed citations
2.
Felipe-Sotelo, M., et al.. (2023). Sub-100 nm nanoplastics: potent carriers of tributyltin in marine water. Environmental Science Nano. 11(1). 241–252. 1 indexed citations
3.
Al-Sid-Cheikh, Maya, Joydip Ghosh, Vlad Stolojan, et al.. (2022). Formamidinium Lead Halide Perovskite Nanocomposite Scintillators. Nanomaterials. 12(13). 2141–2141. 17 indexed citations
4.
Cherubini, Paolo, Ivano Brunner, Ralf Kägi, et al.. (2022). Can forest trees take up and transport nanoplastics?. iForest - Biogeosciences and Forestry. 15(2). 128–132. 9 indexed citations
5.
Parker-Jurd, Florence N.F., et al.. (2020). Tyre wear particles: an abundant yet widely unreported microplastic?. Environmental Science and Pollution Research. 27(15). 18345–18354. 252 indexed citations
6.
Al-Sid-Cheikh, Maya, Steven J. Rowland, Rälf Kaegi, et al.. (2020). Synthesis of 14C-labelled polystyrene nanoplastics for environmental studies. Communications Materials. 1(1). 48 indexed citations
7.
Al-Sid-Cheikh, Maya, Mathieu Pédrot, Aline Dia, et al.. (2019). Trace element and organic matter mobility impacted by Fe3O4-nanoparticle surface coating within wetland soil. Environmental Science Nano. 6(10). 3049–3059. 9 indexed citations
8.
Al-Sid-Cheikh, Maya, et al.. (2019). Tissue Distribution of Radiolabeled 110mAg Nanoparticles in Fish: Arctic Charr (Salvelinus alpinus). Environmental Science & Technology. 53(20). 12043–12053. 22 indexed citations
9.
Lanctôt, Chantal M., Maya Al-Sid-Cheikh, Ana I. Catarino, et al.. (2018). Application of nuclear techniques to environmental plastics research. Journal of Environmental Radioactivity. 192. 368–375. 41 indexed citations
10.
Al-Sid-Cheikh, Maya, Steve Rowland, K.A. Stevenson, et al.. (2018). Uptake, Whole-Body Distribution, and Depuration of Nanoplastics by the Scallop Pecten maximus at Environmentally Realistic Concentrations. Environmental Science & Technology. 52(24). 14480–14486. 293 indexed citations
11.
Davranche, Mélanie, Delphine Vantelon, Mathieu Pédrot, et al.. (2016). Evidence of organic matter control on As oxidation by iron oxides in riparian wetlands. Chemical Geology. 439. 161–172. 35 indexed citations
12.
Al-Sid-Cheikh, Maya, Mathieu Pédrot, Aline Dia, et al.. (2015). Interactions between natural organic matter, sulfur, arsenic and iron oxides in re-oxidation compounds within riparian wetlands: NanoSIMS and X-ray adsorption spectroscopy evidences. The Science of The Total Environment. 515-516. 118–128. 43 indexed citations
13.
Pédrot, Mathieu, Aline Dia, Mélanie Davranche, et al.. (2015). Unravelling the fate of arsenic during re-oxidation of reduced wetland waters: Experimental constraints and environmental consequences. Comptes Rendus Géoscience. 347(5-6). 304–314. 7 indexed citations
14.
Al-Sid-Cheikh, Maya, Mathieu Pédrot, Martine Bouhnik‐Le Coz, et al.. (2015). Robust Method Using Online Steric Exclusion Chromatography-Ultraviolet-Inductively Coupled Plasma Mass Spectrometry To Investigate Nanoparticle Fate and Behavior in Environmental Samples. Analytical Chemistry. 87(20). 10346–10353. 6 indexed citations
15.
Al-Sid-Cheikh, Maya, Claude Rouleau, & Émilien Pelletier. (2013). Tissue distribution and kinetics of dissolved and nanoparticulate silver in Iceland scallop (Chlamys islandica). Marine Environmental Research. 86. 21–28. 36 indexed citations
16.
Al-Sid-Cheikh, Maya, et al.. (2011). Synthesis and characterization of [110mAg]-nanoparticles with application to whole-body autoradiography of aquatic organisms. Applied Radiation and Isotopes. 69(10). 1415–1421. 13 indexed citations

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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