Enno Kätelhön

2.6k total citations
83 papers, 2.2k citations indexed

About

Enno Kätelhön is a scholar working on Electrochemistry, Electrical and Electronic Engineering and Bioengineering. According to data from OpenAlex, Enno Kätelhön has authored 83 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Electrochemistry, 48 papers in Electrical and Electronic Engineering and 32 papers in Bioengineering. Recurrent topics in Enno Kätelhön's work include Electrochemical Analysis and Applications (68 papers), Analytical Chemistry and Sensors (32 papers) and Electrochemical sensors and biosensors (24 papers). Enno Kätelhön is often cited by papers focused on Electrochemical Analysis and Applications (68 papers), Analytical Chemistry and Sensors (32 papers) and Electrochemical sensors and biosensors (24 papers). Enno Kätelhön collaborates with scholars based in United Kingdom, Germany and Netherlands. Enno Kätelhön's co-authors include Richard G. Compton, Christopher Batchelor‐McAuley, Bernhard Wolfrum, Stanislav V. Sokolov, Shaltiel Eloul, Eduardo Laborda, Serge G. Lemay, Lior Sepunaru, Haotian Chen and Andreas Offenhäusser and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Enno Kätelhön

82 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enno Kätelhön United Kingdom 28 1.6k 1.3k 637 503 451 83 2.2k
Jean‐Marc Noël France 24 1.1k 0.7× 1.1k 0.8× 310 0.5× 396 0.8× 319 0.7× 79 2.0k
Álvaro Colina Spain 26 1.1k 0.7× 975 0.7× 410 0.6× 614 1.2× 465 1.0× 115 2.0k
Dmitry Momotenko Switzerland 29 1.0k 0.6× 777 0.6× 543 0.9× 197 0.4× 890 2.0× 50 2.3k
Guy Denuault United Kingdom 32 2.2k 1.4× 1.7k 1.3× 1.4k 2.2× 704 1.4× 359 0.8× 89 3.5k
Pascal Mailley France 30 676 0.4× 1.1k 0.9× 570 0.9× 628 1.2× 817 1.8× 91 2.4k
Gang Chang China 30 819 0.5× 1.8k 1.4× 268 0.4× 501 1.0× 510 1.1× 115 3.0k
Andrew J. Gross France 22 443 0.3× 957 0.7× 143 0.2× 285 0.6× 388 0.9× 54 1.5k
Marcel A. G. Zevenbergen Netherlands 16 567 0.4× 676 0.5× 528 0.8× 169 0.3× 706 1.6× 29 1.5k
Muhammad Asif Pakistan 26 391 0.2× 1.3k 1.0× 394 0.6× 268 0.5× 468 1.0× 116 2.3k
Waldemar A. Marmisollé Argentina 28 276 0.2× 1.3k 1.0× 364 0.6× 670 1.3× 1.3k 3.0× 95 2.6k

Countries citing papers authored by Enno Kätelhön

Since Specialization
Citations

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

Fields of papers citing papers by Enno Kätelhön

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enno Kätelhön

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

All Works

20 of 20 papers shown
1.
Chen, Haotian, et al.. (2024). Removing 65 Years of Approximation in Rotating Ring Disk Electrode Theory with Physics-Informed Neural Networks. The Journal of Physical Chemistry Letters. 15(24). 6315–6324.
2.
Chen, Haotian, Enno Kätelhön, & Richard G. Compton. (2022). Predicting Voltammetry Using Physics-Informed Neural Networks. The Journal of Physical Chemistry Letters. 13(2). 536–543. 23 indexed citations
3.
Yang, Minjun, Christopher Batchelor‐McAuley, Enno Kätelhön, & Richard G. Compton. (2021). A new approach to characterising the porosity of particle modified electrodes: Potential step chronoamperometry and the diffusion indicator. Applied Materials Today. 25. 101249–101249. 5 indexed citations
4.
Kätelhön, Enno, et al.. (2019). Characterising the nature of diffusion via a new indicator: Microcylinder and microring electrodes. Journal of Electroanalytical Chemistry. 855. 113602–113602. 11 indexed citations
5.
Chen, Lifu, Enno Kätelhön, & Richard G. Compton. (2019). Particle-modified electrodes: General mass transport theory, experimental validation, and the role of electrostatics. Applied Materials Today. 18. 100480–100480. 10 indexed citations
6.
7.
Batchelor‐McAuley, Christopher, et al.. (2018). A quantitative methodology for the study of particle–electrode impacts. Physical Chemistry Chemical Physics. 20(19). 13537–13546. 39 indexed citations
8.
Yang, Minjun, Christopher Batchelor‐McAuley, Enno Kätelhön, & Richard G. Compton. (2017). Reaction Layer Imaging Using Fluorescence Electrochemical Microscopy. Analytical Chemistry. 89(12). 6870–6877. 27 indexed citations
9.
Kätelhön, Enno & Richard G. Compton. (2017). Non-linear sweep voltammetry of adsorbed species: theory and a method to determine formal potentials. Physical Chemistry Chemical Physics. 19(42). 28820–28823. 7 indexed citations
10.
Zampardi, Giorgia, Christopher Batchelor‐McAuley, Enno Kätelhön, & Richard G. Compton. (2016). Lithium‐Ion‐Transfer Kinetics of Single LiMn2O4 Particles. Angewandte Chemie. 129(2). 656–659. 18 indexed citations
11.
Kätelhön, Enno, et al.. (2016). Voltammetry of porous layers: Staircase vs analog voltammetry. Journal of Electroanalytical Chemistry. 776. 25–33. 17 indexed citations
12.
Kätelhön, Enno, Stanislav V. Sokolov, & Richard G. Compton. (2016). Near-wall hindered diffusion: Implications for surface-based sensors. Sensors and Actuators B Chemical. 234. 420–425. 14 indexed citations
13.
Sepunaru, Lior, et al.. (2016). Catalytic activity of catalase–silica nanoparticle hybrids: from ensemble to individual entity activity. Chemical Science. 8(3). 2303–2308. 29 indexed citations
14.
Kätelhön, Enno & Richard G. Compton. (2014). Nanoparticles in sensing applications: on what timescale do analyte species adsorb on the particle surface?. The Analyst. 139(10). 2411–2411. 9 indexed citations
15.
Kätelhön, Enno, Dirk Mayer, M. Banzet, Andreas Offenhäusser, & Bernhard Wolfrum. (2014). Nanocavity crossbar arrays for parallel electrochemical sensing on a chip. Beilstein Journal of Nanotechnology. 5. 1137–1143. 17 indexed citations
16.
17.
Kätelhön, Enno & Bernhard Wolfrum. (2012). On-chip redox cycling techniques for electrochemical detection. SHILAP Revista de lepidopterología. 31(1). 7–14. 24 indexed citations
18.
Schottdorf, Manuel, Boris Hofmann, Enno Kätelhön, Andreas Offenhäusser, & Bernhard Wolfrum. (2012). Frequency-dependent signal transfer at the interface between electrogenic cells and nanocavity electrodes. Physical Review E. 85(3). 31917–31917. 17 indexed citations
19.
Hofmann, Boris, Enno Kätelhön, Manuel Schottdorf, Andreas Offenhäusser, & Bernhard Wolfrum. (2011). Nanocavity electrode array for recording from electrogenic cells. Lab on a Chip. 11(6). 1054–1054. 43 indexed citations
20.
Kätelhön, Enno, Boris Hofmann, M. Banzet, Andreas Offenhäusser, & Bernhard Wolfrum. (2010). Time-resolved mapping of neurotransmitter fluctuations by arrays of nanocavity redox-cycling sensors. Procedia Engineering. 5. 956–958. 2 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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