Eric Lubeck
Impact in
- Biophysics top 0.2%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Structural Biology top 5%
Papers in
-
- Single-cell and spatial transcriptomics 5
- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 1
- Pluripotent Stem Cells Research 1
-
- Cell Image Analysis Techniques 5
- Advanced Fluorescence Microscopy Techniques 4
- Co-authors
- Long Cai (7 shared papers)Sheel Shah (6 shared papers)Wen Zhou (3 shared papers)Viviana Gradinaru (2 shared papers)Benjamin E. Deverman (1 shared paper)Rajan P. Kulkarni (1 shared paper)Bin Yang (1 shared paper)Jennifer B. Treweek (1 shared paper)
- Journals
- Neuron (2 papers)Cell (2 papers)Nature Methods (1 paper)Development (1 paper)PLANT PHYSIOLOGY (1 paper)
- Partner nations
- United States
In The Last Decade
Eric Lubeck
10 papers receiving 2.2k citations
Eric Lubeck's Hit Papers
Peers
Comparison fields: 5 of 113
- Biophysics 657
- Structural Biology 41
- Molecular Biology 1.6k
- Neurology 109
- Cancer Research 138
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-authors
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 | Single-Cell Phenotyping within Transparent Intact Tissue through Whole-Body Clearing Hit paper breakdown → | 2014 | 714 |
| 2 | In Situ Transcription Profiling of Single Cells Reveals Spatial Organization of Cells in the Mouse Hippocampus Hit paper breakdown → | 2016 | 492 |
| 3 | 2012 | 375 | |
| 4 | 2018 | 227 | |
| 5 | 2016 | 161 | |
| 6 | 2011 | 121 | |
| 7 | 2017 | 97 | |
| 8 | 2020 | 24 | |
| 9 | 2025 | 1 | |
| 10 | 2019 | 1 | |
| 11 | 2025 | 0 |
About Eric Lubeck
Eric Lubeck is a scholar working on Molecular Biology, Biophysics, Structural Biology, Cellular and Molecular Neuroscience and Neurology, having authored 11 papers that have together received 2.2k 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), RNA and protein synthesis mechanisms (1 paper), Neuroscience and Neural Engineering (1 paper), Advanced Electron Microscopy Techniques and Applications (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Biophysics (657 citations), Structural Biology (41 citations), Molecular Biology (1.6k citations), Neurology (109 citations) and Cancer Research (138 citations). Eric Lubeck has collaborated with scholars based in United States. Frequent co-authors include Long Cai, Sheel Shah, Wen Zhou, Viviana Gradinaru, Benjamin E. Deverman, Rajan P. Kulkarni, Bin Yang, Jennifer B. Treweek, Chun‐Kan Chen and Caleb M. Rounds. Their work appears in journals such as Neuron, Cell, Nature Methods, Development and PLANT PHYSIOLOGY.
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.