Vedran Đerek
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Polymers and Plastics top 10%
- Conducting polymers and applications
Papers in ⓘ
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- Neuroscience and Neural Engineering 16
- Photoreceptor and optogenetics research 11
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- Conducting polymers and applications 7
- Co-authors
- Eric Daniel Głowacki (22 shared papers)Marie Jakešová (13 shared papers)Ludovico Migliaccio (6 shared papers)Magnus Berggren (4 shared papers)Malin Silverå Ejneby (4 shared papers)Maciej Gryszel (3 shared papers)David G. Rand (3 shared papers)Yael Hanein (3 shared papers)
In The Last Decade
Vedran Đerek
27 papers receiving 683 citations
Peers
Comparison fields: 5 of 55
- Cellular and Molecular Neuroscience 393
- Polymers and Plastics 182
- Neurology 60
- Biomedical Engineering 244
- Electronic, Optical and Magnetic Materials 74
Countries citing papers authored by Vedran Đerek
This map shows the geographic impact of Vedran Đerek'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 Vedran Đerek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vedran Đerek more than expected).
Fields of papers citing papers by Vedran Đerek
This network shows the impact of papers produced by Vedran Đerek. 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 Vedran Đerek. The network helps show where Vedran Đerek may publish in the future.
Co-authors
The 25 scholars most cited alongside Vedran Đerek, 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 | 2018 | 118 | |
| 2 | 2021 | 110 | |
| 3 | 2019 | 95 | |
| 4 | 2015 | 40 | |
| 5 | 2021 | 36 | |
| 6 | 2020 | 33 | |
| 7 | 2019 | 33 | |
| 8 | 2018 | 31 | |
| 9 | 2018 | 31 | |
| 10 | 2020 | 25 | |
| 11 | 2016 | 17 | |
| 12 | 2015 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2022 | 15 | |
| 15 | 2022 | 14 | |
| 16 | 2014 | 14 | |
| 17 | 2021 | 12 | |
| 18 | 2018 | 10 | |
| 19 | 2015 | 4 | |
| 20 | 2014 | 3 |
About Vedran Đerek
Vedran Đerek is a scholar working on Cellular and Molecular Neuroscience, Polymers and Plastics, Cognitive Neuroscience, Biomedical Engineering and Neurology, having authored 30 papers that have together received 685 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (16 papers), Photoreceptor and optogenetics research (11 papers), Conducting polymers and applications (7 papers), Silicon Nanostructures and Photoluminescence (7 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Nanowire Synthesis and Applications (4 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (393 citations), Polymers and Plastics (182 citations), Neurology (60 citations), Biomedical Engineering (244 citations) and Electronic, Optical and Magnetic Materials (74 citations). Vedran Đerek has collaborated with scholars based in Croatia, Sweden and Austria. Frequent co-authors include Eric Daniel Głowacki, Marie Jakešová, Ludovico Migliaccio, Magnus Berggren, Malin Silverå Ejneby, Maciej Gryszel, David G. Rand, Yael Hanein, Tobias Cramer and Niyazi Serdar Sariçiftçi. Their work appears in journals such as Advanced Materials Technologies, Journal of Raman Spectroscopy, Journal of Neural Engineering, Advanced Materials and npj Flexible Electronics.
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.