Marloes Peeters

121 total papers · 3.4k total citations
88 papers, 2.6k citations indexed

About

Marloes Peeters is a scholar working on Biomedical Engineering, Analytical Chemistry and Molecular Biology. According to data from OpenAlex, Marloes Peeters has authored 88 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Biomedical Engineering, 33 papers in Analytical Chemistry and 16 papers in Molecular Biology. Recurrent topics in Marloes Peeters's work include Analytical chemistry methods development (33 papers), Biosensors and Analytical Detection (18 papers) and Advanced Chemical Sensor Technologies (17 papers). Marloes Peeters is often cited by papers focused on Analytical chemistry methods development (33 papers), Biosensors and Analytical Detection (18 papers) and Advanced Chemical Sensor Technologies (17 papers). Marloes Peeters collaborates with scholars based in United Kingdom, Netherlands and Belgium. Marloes Peeters's co-authors include Bart van Grinsven, Thomas J. Cleij, Craig E. Banks, Kasper Eersels, Robert D. Crapnell, Patrick Wagner, Pankaj Singla, Hanne Diliën, Joseph W. Lowdon and Gijs J. M. Habraken and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Macromolecules.

In The Last Decade

Marloes Peeters

87 papers receiving 2.6k citations

Author Peers

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

Author Last Decade Papers Cites
Marloes Peeters 1.1k 917 763 564 351 88 2.6k
Hung‐Yin Lin 915 0.8× 659 0.7× 648 0.8× 544 1.0× 202 0.6× 108 2.2k
Alessandro Poma 1.2k 1.0× 1.6k 1.7× 747 1.0× 367 0.7× 549 1.6× 43 2.9k
María Carmen Blanco‐López 1.5k 1.3× 587 0.6× 1.5k 2.0× 806 1.4× 248 0.7× 102 3.7k
Handan Yavuz 1.1k 1.0× 764 0.8× 1.5k 2.0× 363 0.6× 471 1.3× 95 3.0k
Francesco Canfarotta 1.0k 0.9× 1.2k 1.3× 627 0.8× 291 0.5× 467 1.3× 54 2.2k
Li Jia 1.7k 1.5× 627 0.7× 1.4k 1.9× 527 0.9× 728 2.1× 170 3.9k
M. Lúcia M.F.S. Saraiva 530 0.5× 434 0.5× 450 0.6× 392 0.7× 297 0.8× 120 2.1k
Alessandra Bossi 1.7k 1.6× 1.5k 1.7× 1.1k 1.5× 794 1.4× 965 2.7× 113 3.8k
Nilay Bereli 945 0.8× 807 0.9× 1.2k 1.6× 291 0.5× 508 1.4× 93 2.6k
Qiaosheng Pu 1.9k 1.7× 611 0.7× 726 1.0× 731 1.3× 383 1.1× 142 3.7k

Countries citing papers authored by Marloes Peeters

Since Specialization
Citations

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

Fields of papers citing papers by Marloes Peeters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marloes Peeters

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026