Katrien Maes

523 citations
16 papers · 410 · h-index 12

Impact in

    • Odor and Emission Control Technologies
  • Spectroscopy top 10%
    • Mass Spectrometry Techniques and Applications
    • Analytical Chemistry and Chromatography
    • Advanced Proteomics Techniques and Applications

Papers in

Katrien Maes

16 papers receiving 396 citations

Peers

Katrien Maes
Comparison fields: 5 of 95
  • Process Chemistry and Technology 51
  • Spectroscopy 95
  • Pollution 45
  • Industrial and Manufacturing Engineering 29
  • Animal Science and Zoology 34
Replace Florian Mayer with:
Florian Mayer Germany
Mihaela Nistor Sweden
M.L. Keplinger United States
Jill Järnberg Sweden
Donald R. Lueking United States
Ignacio Villanueva‐Fierro Mexico
Maryanne F. Stock United States
Nilufa Sultana Australia
Junping Liang China
Wenyue Chen China
Katrien Maes relative to Florian Mayer Germany Florian Mayer's profile →
Citations per field
00.5×4.1×
Florian Mayer · 1×
Citations per year

Countries citing papers authored by Katrien Maes

Since Specialization
Citations

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

Fields of papers citing papers by Katrien Maes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Katrien Maes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Katrien Maes Line = papers co-authored together Katrien Maes links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201473
2 200061
3 201437
4 200337
5 200731
6 201129
7 201522
8 201521
9 200321
10 201020
11 200115
12 201611
13 201511
14 20159
15 20138
16 20174

About Katrien Maes

Katrien Maes is a scholar working on Cellular and Molecular Neuroscience, Spectroscopy, Molecular Biology, Animal Science and Zoology and Biomedical Engineering, having authored 16 papers that have together received 410 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (3 papers), Neuropeptides and Animal Physiology (3 papers), Pharmacological Effects and Assays (3 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Electrochemical sensors and biosensors (1 paper) and Postharvest Quality and Shelf Life Management (1 paper). The work is most often cited by research in Process Chemistry and Technology (51 citations), Spectroscopy (95 citations), Pollution (45 citations), Industrial and Manufacturing Engineering (29 citations) and Animal Science and Zoology (34 citations). Katrien Maes has collaborated with scholars based in Belgium, United States and Australia. Frequent co-authors include Ann Van Eeckhaut, Ilse Smolders, Yvette Michotte, Pierre Debergh, Herman Van Langenhove, E. Smet, Bernard De Baets, Joeri Van Liefferinge, Georges Hofman and Marc Van Meirvenne. Their work appears in journals such as Journal of Chromatography A, Bioanalysis, Experimental Neurology, Phytochemical Analysis and Water Air & Soil Pollution.

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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