Devin Daems
Impact in
- Bioengineering top 5%
- Analytical Chemistry and Sensors
- Electrochemistry top 10%
Papers in
-
- Advanced biosensing and bioanalysis techniques 12
-
- Biosensors and Analytical Detection 11
- Plasmonic and Surface Plasmon Research 5
- Advanced Chemical Sensor Technologies 4
- Co-authors
- Jeroen Lammertyn (14 shared papers)N. Boens (4 shared papers)Frans C. De Schryver (4 shared papers)Dragana Spasić (7 shared papers)Filip Delport (5 shared papers)Karolien De Wael (7 shared papers)Wolfgang Pfeifer (1 shared paper)L.J. Nagels (5 shared papers)
- Journals
- Analytical Chemistry (4 papers)Analytica Chimica Acta (3 papers)ACS Sensors (2 papers)European Biophysics Journal (2 papers)The Analyst (2 papers)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Devin Daems
30 papers receiving 668 citations
Peers
Comparison fields: 5 of 73
- Bioengineering 72
- Electrochemistry 62
- Physical and Theoretical Chemistry 62
- Biomedical Engineering 296
- Molecular Biology 358
Countries citing papers authored by Devin Daems
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
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.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 118 | |
| 2 | 2017 | 71 | |
| 3 | 2018 | 68 | |
| 4 | 2016 | 59 | |
| 5 | 1985 | 35 | |
| 6 | 2019 | 30 | |
| 7 | 2020 | 29 | |
| 8 | 2016 | 28 | |
| 9 | 2021 | 21 | |
| 10 | 2022 | 21 | |
| 11 | 2012 | 18 | |
| 12 | 2020 | 17 | |
| 13 | 2017 | 17 | |
| 14 | 2019 | 17 | |
| 15 | 2012 | 15 | |
| 16 | 2017 | 14 | |
| 17 | 2013 | 13 | |
| 18 | 2023 | 11 | |
| 19 | 2014 | 11 | |
| 20 | 2020 | 11 |
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 680 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), Plasmonic and Surface Plasmon Research (5 papers), Electrochemical sensors and biosensors (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 (72 citations), Electrochemistry (62 citations), Physical and Theoretical Chemistry (62 citations), Biomedical Engineering (296 citations) and Molecular Biology (358 citations). Devin Daems has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Jeroen Lammertyn, N. Boens, Frans C. De Schryver, Dragana Spasić, Filip Delport, Karolien De Wael, Wolfgang Pfeifer, L.J. Nagels, Guy Van Camp and Barbara Saccà. Their work appears in journals such as Analytical Chemistry, Analytica Chimica Acta, ACS Sensors, European Biophysics Journal and The Analyst.
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.