Eric Lubeck
- Biophysics top 0.2%
- Cell Image Analysis Techniques 5
- Advanced Fluorescence Microscopy Techniques 4
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications 1
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics 5
- RNA Research and Splicing 2
- Genomics and Chromatin Dynamics 1
- Pluripotent Stem Cells Research 1
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 1
- Co-authors
- Long CaiSheel ShahWen ZhouViviana GradinaruBin YangRajan P. KulkarniBenjamin E. DevermanJennifer B. Treweek
- Partner nations
- United States
In The Last Decade
Eric Lubeck
9 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Biophysics 659
- Structural Biology 40
- Molecular Biology 1.6k
- Neurology 107
- Cellular and Molecular Neuroscience 175
Countries citing papers authored by Eric Lubeck
This map shows the geographic impact of Eric Lubeck'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 Eric Lubeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Lubeck more than expected).
Fields of papers citing papers by Eric Lubeck
This network shows the impact of papers produced by Eric Lubeck. 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 Eric Lubeck. The network helps show where Eric Lubeck may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric Lubeck, 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 | 2025 | 0 | |
| 2 | 2020 | 23 | |
| 3 | 2019 | 1 | |
| 4 | 2018 | 216 | |
| 5 | 2017 | 94 | |
| 6 | In Situ Transcription Profiling of Single Cells Reveals Spatial Organization of Cells in the Mouse Hippocampusbreakdown → | 2016 | 471 |
| 7 | 2016 | 154 | |
| 8 | Single-Cell Phenotyping within Transparent Intact Tissue through Whole-Body Clearingbreakdown → | 2014 | 686 |
| 9 | 2012 | 359 | |
| 10 | 2011 | 112 |
About Eric Lubeck
Eric Lubeck is a scholar working on Biophysics, Structural Biology, Neurology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 2.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Cell Image Analysis Techniques (5 papers), Advanced Fluorescence Microscopy Techniques (4 papers), RNA Research and Splicing (2 papers), Advanced Electron Microscopy Techniques and Applications (1 paper), Genomics and Chromatin Dynamics (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Biophysics (659 citations), Structural Biology (40 citations), Molecular Biology (1.6k citations), Neurology (107 citations) and Cellular and Molecular Neuroscience (175 citations). Eric Lubeck has collaborated with scholars based in United States. Frequent co-authors include Long Cai, Sheel Shah, Wen Zhou, Viviana Gradinaru, Bin Yang, Rajan P. Kulkarni, Benjamin E. Deverman, Jennifer B. Treweek, Peter K. Hepler and Lawrence J. Winship. Their work appears in journals such as Neuron, Cell, Nature Methods, PLANT PHYSIOLOGY and Seminars in Cell and Developmental Biology.
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.