Devin Daems

848 citations
30 papers · 662 · h-index 15

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 12
    • Biosensors and Analytical Detection 11
    • Plasmonic and Surface Plasmon Research 5
    • Advanced Chemical Sensor Technologies 4

Devin Daems

30 papers receiving 649 citations

Peers

Devin Daems
Comparison fields: 5 of 77
  • Bioengineering 69
  • Electrochemistry 61
  • Physical and Theoretical Chemistry 62
  • Biomedical Engineering 293
  • Molecular Biology 353
Replace Takahiko Nojima with:
Takahiko Nojima Japan
Mark J. Feldstein United States
Valérie Guieu France
Magdalena Gębala Germany
Susanne Witt Germany
Halina D. Inerowicz United States
Joshua Salafsky United States
Stefan C. T. Svensson Sweden
Matthias Seydack Germany
A. Ottova-Leitmannova United States
Devin Daems relative to Takahiko Nojima Japan Takahiko Nojima's profile →
Citations per field
00.5×5.7×
Takahiko Nojima · 1×
Citations per year

Countries citing papers authored by Devin Daems

Since Specialization
Citations

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

Fields of papers citing papers by Devin Daems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Devin Daems, 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 Devin Daems Line = papers co-authored together Devin Daems links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986117
2 201770
3 201867
4 201658
5 198535
6 201930
7 202029
8 201628
9 202220
10 202117
11 201717
12 201216
13 202016
14 201916
15 201215
16 201714
17 201313
18 202211
19 201411
20 202011

About Devin Daems

Devin Daems is a scholar working on Molecular Biology, Biomedical Engineering, Electrical and Electronic Engineering, Electrochemistry and Bioengineering, having authored 30 papers that have together received 662 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (12 papers), Biosensors and Analytical Detection (11 papers), Electrochemical Analysis and Applications (7 papers), Electrochemical sensors and biosensors (5 papers), Plasmonic and Surface Plasmon Research (5 papers), Advanced Chemical Sensor Technologies (4 papers), Analytical Chemistry and Sensors (4 papers) and Spectroscopy and Quantum Chemical Studies (3 papers). The work is most often cited by research in Bioengineering (69 citations), Electrochemistry (61 citations), Physical and Theoretical Chemistry (62 citations), Biomedical Engineering (293 citations) and Molecular Biology (353 citations). Devin Daems has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include Jeroen Lammertyn, Frans C. De Schryver, N. Boens, Dragana Spasić, Filip Delport, Karolien De Wael, Guy Van Camp, Barbara Saccà, Wolfgang Pfeifer and L.J. Nagels. Their work appears in journals such as Analytical Chemistry, Analytica Chimica Acta, European Biophysics Journal, The Analyst and ACS Applied Materials & Interfaces.

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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