Daniel Evanko
Impact in
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
-
- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
Papers in
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- Protein Kinase Regulation and GTPase Signaling 6
- Advanced biosensing and bioanalysis techniques 5
- Receptor Mechanisms and Signaling 4
- Advanced Biosensing Techniques and Applications 4
- Biophysics 13
- Advanced Fluorescence Microscopy Techniques 12
- Cell Image Analysis Techniques 4
- Co-authors
- Manimekalai M. Thiyagarajan (6 shared papers)Philip Wedegaertner (6 shared papers)Philip G. Haydon (2 shared papers)Qi Zhang (1 shared paper)Robert Zorec (1 shared paper)David P. Siderovski (1 shared paper)Alexey Pronin (1 shared paper)Jeffrey Benovic (1 shared paper)
- Journals
- Nature Methods (43 papers)Journal of Biological Chemistry (3 papers)Cellular Signalling (2 papers)Nature Cell Biology (1 paper)Glia (1 paper)
- Partner nations
- United StatesCanadaSlovenia
In The Last Decade
Daniel Evanko
54 papers receiving 713 citations
Peers
Comparison fields: 5 of 97
- Biophysics 66
- Cellular and Molecular Neuroscience 160
- Molecular Biology 514
- Cell Biology 109
- Structural Biology 8
Countries citing papers authored by Daniel Evanko
This map shows the geographic impact of Daniel Evanko'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 Daniel Evanko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Evanko more than expected).
Fields of papers citing papers by Daniel Evanko
This network shows the impact of papers produced by Daniel Evanko. 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 Daniel Evanko. The network helps show where Daniel Evanko may publish in the future.
Co-authors
The 24 scholars most cited alongside Daniel Evanko, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 101 | |
| 2 | 2004 | 98 | |
| 3 | 2004 | 70 | |
| 4 | 2004 | 66 | |
| 5 | 2001 | 66 | |
| 6 | 2008 | 33 | |
| 7 | 2005 | 32 | |
| 8 | 2008 | 30 | |
| 9 | 2005 | 26 | |
| 10 | 2002 | 24 | |
| 11 | 2005 | 17 | |
| 12 | 2014 | 17 | |
| 13 | 2009 | 11 | |
| 14 | 2009 | 11 | |
| 15 | 2008 | 10 | |
| 16 | 2008 | 8 | |
| 17 | 2010 | 7 | |
| 18 | 2006 | 7 | |
| 19 | 2007 | 6 | |
| 20 | 2010 | 6 |
About Daniel Evanko
Daniel Evanko is a scholar working on Molecular Biology, Biophysics, Cellular and Molecular Neuroscience, Biomedical Engineering and Structural Biology, having authored 57 papers that have together received 729 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (12 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Photoreceptor and optogenetics research (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Cell Image Analysis Techniques (4 papers), Receptor Mechanisms and Signaling (4 papers), Advanced Electron Microscopy Techniques and Applications (4 papers) and Advanced Biosensing Techniques and Applications (4 papers). The work is most often cited by research in Biophysics (66 citations), Cellular and Molecular Neuroscience (160 citations), Molecular Biology (514 citations), Cell Biology (109 citations) and Structural Biology (8 citations). Daniel Evanko has collaborated with scholars based in United States, Canada and Slovenia. Frequent co-authors include Manimekalai M. Thiyagarajan, Philip Wedegaertner, Philip G. Haydon, Qi Zhang, Robert Zorec, David P. Siderovski, Alexey Pronin, Jeffrey Benovic, Terence E. Hébert and Eve Bigras. Their work appears in journals such as Nature Methods, Journal of Biological Chemistry, Cellular Signalling, Nature Cell Biology and Glia.
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.