Long Cai

17.5k total citations · 10 hit papers
55 papers, 9.5k citations indexed

About

Long Cai is a scholar working on Molecular Biology, Biophysics and Genetics. According to data from OpenAlex, Long Cai has authored 55 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 17 papers in Biophysics and 4 papers in Genetics. Recurrent topics in Long Cai's work include Single-cell and spatial transcriptomics (29 papers), Cell Image Analysis Techniques (13 papers) and Gene Regulatory Network Analysis (11 papers). Long Cai is often cited by papers focused on Single-cell and spatial transcriptomics (29 papers), Cell Image Analysis Techniques (13 papers) and Gene Regulatory Network Analysis (11 papers). Long Cai collaborates with scholars based in United States, China and United Kingdom. Long Cai's co-authors include Nir Friedman, Eric Lubeck, Sheel Shah, Xiaoliang Sunney Xie, Michael B. Elowitz, X. Sunney Xie, Guo‐Cheng Yuan, Yodai Takei, Jina Yun and Wen Zhou and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Long Cai

53 papers receiving 9.4k citations

Hit Papers

Transcriptome-scale super-res... 2006 2026 2012 2019 2019 2006 2014 2018 2021 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long Cai United States 34 7.7k 1.8k 1.2k 944 740 55 9.5k
Jeffrey R. Moffitt United States 31 5.6k 0.7× 1.5k 0.9× 549 0.5× 1.2k 1.3× 489 0.7× 55 7.8k
Xavier Darzacq United States 53 11.3k 1.5× 1.5k 0.8× 834 0.7× 649 0.7× 585 0.8× 112 13.1k
Ghia Euskirchen United States 27 7.4k 1.0× 1.6k 0.9× 1.8k 1.5× 416 0.4× 780 1.1× 33 10.0k
M. Cristina Cardoso Germany 55 9.9k 1.3× 1.0k 0.6× 1.7k 1.4× 625 0.7× 496 0.7× 186 12.1k
Frank J. Steemers United States 35 8.2k 1.1× 858 0.5× 1.6k 1.3× 663 0.7× 1.7k 2.3× 54 11.3k
Lothar Schermelleh Germany 48 6.4k 0.8× 2.6k 1.4× 1.1k 0.9× 1.2k 1.3× 439 0.6× 78 9.4k
James G. McNally United States 55 7.6k 1.0× 1.8k 1.0× 1.0k 0.9× 573 0.6× 413 0.6× 134 10.3k
Itai Yanai United States 39 6.4k 0.8× 560 0.3× 1.2k 1.0× 498 0.5× 1.5k 2.0× 90 9.1k
Fei Chen United States 34 5.6k 0.7× 2.0k 1.1× 325 0.3× 882 0.9× 920 1.2× 82 8.2k
Michelle A. Digman United States 54 5.0k 0.6× 2.0k 1.1× 363 0.3× 1.2k 1.3× 808 1.1× 163 8.3k

Countries citing papers authored by Long Cai

Since Specialization
Citations

This map shows the geographic impact of Long Cai'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 Long Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Cai more than expected).

Fields of papers citing papers by Long Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long Cai. 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 Long Cai. The network helps show where Long Cai may publish in the future.

Co-authorship network of co-authors of Long Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Long Cai. A scholar is included among the top collaborators of Long Cai 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 Long Cai. Long Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Polonsky, Michal, Louisa M.S. Gerhardt, Jina Yun, et al.. (2024). Spatial transcriptomics defines injury specific microenvironments and cellular interactions in kidney regeneration and disease. Nature Communications. 15(1). 7010–7010. 25 indexed citations
2.
Takei, Yodai, Shiwei Zheng, Jina Yun, et al.. (2021). Single-cell nuclear architecture across cell types in the mouse brain. Science. 374(6567). 586–594. 80 indexed citations
3.
Chow, Ke-Huan K., Mark W. Budde, Alejandro A. Granados, et al.. (2021). Imaging cell lineage with a synthetic digital recording system. Science. 372(6538). 83 indexed citations
4.
Dar, Daniel, et al.. (2021). Spatial transcriptomics of planktonic and sessile bacterial populations at single-cell resolution. Science. 373(6556). 184 indexed citations breakdown →
5.
Dries, Ruben, Qian Zhu, Rui Dong, et al.. (2021). Giotto: a toolbox for integrative analysis and visualization of spatial expression data. Genome biology. 22(1). 78–78. 510 indexed citations breakdown →
6.
Lawson, Michael J., Qian Zhu, Ruben Dries, et al.. (2019). Transcriptome-scale super-resolved imaging in tissues by RNA seqFISH+. Nature. 568(7751). 235–239. 1092 indexed citations breakdown →
7.
Kim, Dong‐Wook, Zizhen Yao, Lucas T. Graybuck, et al.. (2019). Multimodal Analysis of Cell Types in a Hypothalamic Node Controlling Social Behavior. Cell. 179(3). 713–728.e17. 166 indexed citations
8.
Guo, Jingtao, Edward J. Grow, Hana Mlčochová, et al.. (2018). The adult human testis transcriptional cell atlas. Cell Research. 28(12). 1141–1157. 422 indexed citations breakdown →
9.
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 →
10.
Cai, Long, et al.. (2016). Noncommutative Biology: Sequential Regulation of Complex Networks. PLoS Computational Biology. 12(8). e1005089–e1005089. 11 indexed citations
11.
Frieda, Kirsten L., James M. Linton, Sahand Hormoz, et al.. (2016). Synthetic recording and in situ readout of lineage information in single cells. Nature. 541(7635). 107–111. 295 indexed citations
12.
Coskun, Ahmet F. & Long Cai. (2016). Dense transcript profiling in single cells by image correlation decoding. Nature Methods. 13(8). 657–660. 56 indexed citations
13.
Treweek, Jennifer B., Ken Y. Chan, Nicholas C. Flytzanis, et al.. (2015). Whole-body tissue stabilization and selective extractions via tissue-hydrogel hybrids for high-resolution intact circuit mapping and phenotyping. Nature Protocols. 10(11). 1860–1896. 196 indexed citations
14.
Singer, Zakary S., John Yong, Julia Tischler, et al.. (2014). Dynamic Heterogeneity and DNA Methylation in Embryonic Stem Cells. Molecular Cell. 55(2). 319–331. 214 indexed citations
15.
Xie, Sunney, Paul Choi, & Long Cai. (2009). A Stochastic Single-Molecule Event Triggers Phenotype Switching of a Bacterial Cell. Bulletin of the American Physical Society.
16.
Friedman, Nir, Long Cai, & Xiaoliang Sunney Xie. (2009). Stochasticity in Gene Expression as Observed by Single‐molecule Experiments in Live Cells. Israel Journal of Chemistry. 49(3-4). 333–342. 5 indexed citations
17.
Choi, Paul, Long Cai, Kirsten L. Frieda, & X. Sunney Xie. (2008). A Stochastic Single-Molecule Event Triggers Phenotype Switching of a Bacterial Cell. Science. 322(5900). 442–446. 329 indexed citations
18.
Cai, Long, Chiraj K. Dalal, & Michael B. Elowitz. (2008). Frequency-modulated nuclear localization bursts coordinate gene regulation. Nature. 455(7212). 485–490. 391 indexed citations
19.
Cai, Long, Nir Friedman, & Xiaoliang Sunney Xie. (2006). Stochastic protein expression in individual cells at the single molecule level. Nature. 440(7082). 358–362. 853 indexed citations breakdown →
20.
Cai, Long, et al.. (2001). Time-Dependent Alignment and Orientation of Molecules in Combined Electrostatic and Pulsed Nonresonant Laser Fields. Physical Review Letters. 86(5). 775–778. 140 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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