Eric Lubeck

4.3k total citations · 2 hit papers
10 papers, 2.1k citations indexed

About

Eric Lubeck is a scholar working on Molecular Biology, Biophysics and Structural Biology. According to data from OpenAlex, Eric Lubeck has authored 10 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Biophysics and 1 paper in Structural Biology. Recurrent topics in Eric Lubeck's work include Single-cell and spatial transcriptomics (5 papers), Cell Image Analysis Techniques (5 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). Eric Lubeck is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Cell Image Analysis Techniques (5 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). Eric Lubeck collaborates with scholars based in United States. Eric Lubeck's 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 and has published in prestigious journals such as Cell, Nature Communications and Neuron.

In The Last Decade

Eric Lubeck

9 papers receiving 2.1k citations

Hit Papers

Single-Cell Phenotyping within Transparent Intact Tissue ... 2014 2026 2018 2022 2014 2016 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Single-Cell Phenotyping within Transparent Intact Tissue through Whole-Body Clearing
    2014 686 citations Bin Yang, Jennifer B. Treweek et al. Cell profile →
  2. In Situ Transcription Profiling of Single Cells Reveals Spatial Organization of Cells in the Mouse Hippocampus
    2016 471 citations Sheel Shah, Eric Lubeck et al. Neuron profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eric Lubeck United States 8 1.6k 659 316 175 146 10 2.1k
Sheel Shah United States 16 1.8k 1.1× 647 1.0× 305 1.0× 224 1.3× 99 0.7× 25 2.6k
Winfried Wiegraebe United States 9 1.1k 0.7× 448 0.7× 187 0.6× 160 0.9× 104 0.7× 11 2.1k
Fumiyoshi Ishidate Japan 15 946 0.6× 285 0.4× 242 0.8× 177 1.0× 68 0.5× 22 1.7k
Tim Wang China 2 877 0.6× 638 1.0× 173 0.5× 141 0.8× 54 0.4× 5 1.7k
Noushin Koulena United States 7 1.5k 1.0× 343 0.5× 101 0.3× 65 0.4× 137 0.9× 9 1.8k
Reza Kalhor United States 17 2.2k 1.4× 282 0.4× 141 0.4× 89 0.5× 246 1.7× 19 2.6k
Christopher J. Cronin United States 9 1.3k 0.8× 293 0.4× 112 0.4× 93 0.5× 49 0.3× 13 1.8k
Caleb Weinreb United States 17 2.3k 1.5× 380 0.6× 210 0.7× 114 0.7× 94 0.6× 25 3.3k
Ryan W. Draft United States 6 858 0.6× 394 0.6× 129 0.4× 464 2.7× 36 0.2× 6 1.6k
Valeria de Turris Italy 19 1.5k 1.0× 187 0.3× 125 0.4× 118 0.7× 67 0.5× 42 1.9k

Countries citing papers authored by Eric Lubeck

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Eric Lubeck

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Lubeck. A scholar is included among the top collaborators of Eric Lubeck based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eric Lubeck. Eric Lubeck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Lubeck, Eric, Mohammad M. Sultan, Zachary F. Phillips, et al.. (2025). A pooled Cell Painting CRISPR screening platform enables de novo inference of gene function by self-supervised deep learning. Nature Communications. 17(1). 77–77.
2.
Salick, Max R., Eric Lubeck, Adam J. Riesselman, & Ajamete Kaykas. (2020). The future of cerebral organoids in drug discovery. Seminars in Cell and Developmental Biology. 111. 67–73. 23 indexed citations
3.
Cai, Long, Sheel Shah, Zhao We, et al.. (2019). Dynamics and Spatial Genomics of the Nascent Transcriptome by Intron seqFISH. The FASEB Journal. 33(S1). 1 indexed citations
4.
Shah, Sheel, Yodai Takei, Wen Zhou, et al.. (2018). Dynamics and Spatial Genomics of the Nascent Transcriptome by Intron seqFISH. Cell. 174(2). 363–376.e16. 216 indexed citations
5.
Shah, Sheel, Eric Lubeck, Wen Zhou, & Long Cai. (2017). seqFISH Accurately Detects Transcripts in Single Cells and Reveals Robust Spatial Organization in the Hippocampus. Neuron. 94(4). 752–758.e1. 94 indexed citations
6.
Shah, Sheel, Eric Lubeck, Wen Zhou, & Long Cai. (2016). In Situ Transcription Profiling of Single Cells Reveals Spatial Organization of Cells in the Mouse Hippocampus. Neuron. 92(2). 342–357. 471 indexed citations breakdown →
7.
Shah, Sheel, Eric Lubeck, Maayan Schwarzkopf, et al.. (2016). Single-molecule RNA detection at depth by hybridization chain reaction and tissue hydrogel embedding and clearing. Development. 143(15). 2862–2867. 154 indexed citations
8.
Yang, Bin, Jennifer B. Treweek, Rajan P. Kulkarni, et al.. (2014). Single-Cell Phenotyping within Transparent Intact Tissue through Whole-Body Clearing. Cell. 158(4). 945–958. 686 indexed citations breakdown →
9.
Lubeck, Eric & Long Cai. (2012). Single-cell systems biology by super-resolution imaging and combinatorial labeling. Nature Methods. 9(7). 743–748. 359 indexed citations
10.
Rounds, Caleb M., Eric Lubeck, Peter K. Hepler, & Lawrence J. Winship. (2011). Propidium Iodide Competes with Ca2+ to Label Pectin in Pollen Tubes and Arabidopsis Root Hairs    . PLANT PHYSIOLOGY. 157(1). 175–187. 112 indexed citations

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.

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