Daniel Xenes
Impact in
- Structural Biology top 10%
- Advanced Electron Microscopy Techniques and Applications
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- Cell Image Analysis Techniques
Papers in
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- Cell Image Analysis Techniques 4
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- Advanced Electron Microscopy Techniques and Applications 3
- Co-authors
- Luis M. Rodríguez (3 shared papers)William Gray-Roncal (3 shared papers)Brock A. Wester (5 shared papers)Jordan Matelsky (5 shared papers)Dean M. Kleissas (1 shared paper)Erik C. Johnson (3 shared papers)Scott L. Zeger (1 shared paper)Brian Thomas Garibaldi (1 shared paper)
- Journals
- Nature Methods (3 papers)Nature (2 papers)Scientific Reports (1 paper)Current Protocols (1 paper)Frontiers in Neuroinformatics (1 paper)
- Partner nations
- United StatesNetherlandsSpain
In The Last Decade
Daniel Xenes
9 papers receiving 118 citations
Daniel Xenes's Hit Papers
Peers
Comparison fields: 5 of 33
- Structural Biology 16
- Biophysics 18
- Cellular and Molecular Neuroscience 34
- Cognitive Neuroscience 33
- Developmental Neuroscience 4
Countries citing papers authored by Daniel Xenes
This map shows the geographic impact of Daniel Xenes'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 Xenes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Xenes more than expected).
Fields of papers citing papers by Daniel Xenes
This network shows the impact of papers produced by Daniel Xenes. 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 Xenes. The network helps show where Daniel Xenes may publish in the future.
Co-authors
The 24 scholars most cited alongside Daniel Xenes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Functional connectomics spanning multiple areas of mouse visual cortex Hit paper breakdown → | 2025 | 58 |
| 2 | 2022 | 20 | |
| 3 | 2025 | 15 | |
| 4 | 2025 | 12 | |
| 5 | 2023 | 5 | |
| 6 | 2025 | 5 | |
| 7 | 2021 | 4 | |
| 8 | 2019 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 |
About Daniel Xenes
Daniel Xenes is a scholar working on Biophysics, Structural Biology, Information Systems and Management, Cognitive Neuroscience and Health Informatics, having authored 11 papers that have together received 121 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (4 papers), Advanced Electron Microscopy Techniques and Applications (3 papers), Machine Learning in Materials Science (2 papers), Scientific Computing and Data Management (2 papers), Functional Brain Connectivity Studies (2 papers), Advanced Data Compression Techniques (1 paper), Distributed and Parallel Computing Systems (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Structural Biology (16 citations), Biophysics (18 citations), Cellular and Molecular Neuroscience (34 citations), Cognitive Neuroscience (33 citations) and Developmental Neuroscience (4 citations). Daniel Xenes has collaborated with scholars based in United States, Netherlands and Spain. Frequent co-authors include Luis M. Rodríguez, William Gray-Roncal, Brock A. Wester, Jordan Matelsky, Dean M. Kleissas, Erik C. Johnson, Scott L. Zeger, Brian Thomas Garibaldi, Matthew L. Robinson and Yaron Meirovitch. Their work appears in journals such as Nature Methods, Nature, Scientific Reports, Current Protocols and Frontiers in Neuroinformatics.
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.