Erin E. Diel
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
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- Advanced Electron Microscopy Techniques and Applications
Papers in
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- Genetics, Bioinformatics, and Biomedical Research 1
- Molecular Biology Techniques and Applications 1
- Single-cell and spatial transcriptomics 1
- RNA Research and Splicing 1
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- Cell Image Analysis Techniques 2
- Advanced Fluorescence Microscopy Techniques 1
- Co-authors
- Douglas S. Richardson (1 shared paper)Jeff W. Lichtman (1 shared paper)Michael E. Greenberg (1 shared paper)Tania Rinaldi Barkat (1 shared paper)Brian T. Kalish (1 shared paper)Takao K. Hensch (1 shared paper)William J. Moore (1 shared paper)Christian Tischer (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Protocols (1 paper)Nature Methods (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Erin E. Diel
3 papers receiving 185 citations
Peers
Comparison fields: 5 of 67
- Biophysics 82
- Structural Biology 13
- Information Systems and Management 16
- Developmental Neuroscience 8
- Sensory Systems 5
Countries citing papers authored by Erin E. Diel
This map shows the geographic impact of Erin E. Diel'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 Erin E. Diel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erin E. Diel more than expected).
Fields of papers citing papers by Erin E. Diel
This network shows the impact of papers produced by Erin E. Diel. 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 Erin E. Diel. The network helps show where Erin E. Diel may publish in the future.
Co-authors
The 18 scholars most cited alongside Erin E. Diel, 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 | 2021 | 77 | |
| 2 | 2020 | 67 | |
| 3 | 2020 | 43 |
About Erin E. Diel
Erin E. Diel is a scholar working on Molecular Biology, Biophysics, Information Systems and Management, Cancer Research and Infectious Diseases, having authored 3 papers that have together received 187 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Scientific Computing and Data Management (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper), Molecular Biology Techniques and Applications (1 paper), Cancer-related molecular mechanisms research (1 paper), Single-cell and spatial transcriptomics (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Biophysics (82 citations), Structural Biology (13 citations), Information Systems and Management (16 citations), Developmental Neuroscience (8 citations) and Sensory Systems (5 citations). Erin E. Diel has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Douglas S. Richardson, Jeff W. Lichtman, Michael E. Greenberg, Tania Rinaldi Barkat, Brian T. Kalish, Takao K. Hensch, William J. Moore, Christian Tischer, Constantin Pape and Jason R. Swedlow. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Protocols and Nature Methods.
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.