Dawen Cai

5.4k total citations · 2 hit papers
54 papers, 3.8k citations indexed

About

Dawen Cai is a scholar working on Biophysics, Molecular Biology and Cell Biology. According to data from OpenAlex, Dawen Cai has authored 54 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biophysics, 17 papers in Molecular Biology and 12 papers in Cell Biology. Recurrent topics in Dawen Cai's work include Advanced Fluorescence Microscopy Techniques (16 papers), Cell Image Analysis Techniques (12 papers) and Microtubule and mitosis dynamics (11 papers). Dawen Cai is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (16 papers), Cell Image Analysis Techniques (12 papers) and Microtubule and mitosis dynamics (11 papers). Dawen Cai collaborates with scholars based in United States, Japan and China. Dawen Cai's co-authors include Kristen J. Verhey, Edgar Meyhöfer, T. Lynne Blasius, Jennetta W. Hammond, Gloria Jih, Jacek Gaertig, Nathan Reed, Jeff W. Lichtman, Joshua R. Sanes and Tuanlian Luo and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Journal of Neuroscience.

In The Last Decade

Dawen Cai

53 papers receiving 3.7k citations

Hit Papers

Microtubule Acetylation Promotes Kinesin-1 Binding and Tr... 2006 2026 2012 2019 2006 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dawen Cai United States 23 1.9k 1.5k 715 580 376 54 3.8k
Helge Ewers Germany 33 2.3k 1.2× 790 0.5× 1.3k 1.8× 525 0.9× 602 1.6× 75 4.2k
Marcel Mettlen United States 27 2.9k 1.5× 1.8k 1.2× 646 0.9× 332 0.6× 323 0.9× 43 4.5k
Michelle A. Baird United States 29 2.8k 1.4× 1.5k 1.0× 1.9k 2.7× 556 1.0× 852 2.3× 51 5.3k
Thorsten Lang Germany 32 3.7k 1.9× 2.9k 2.0× 537 0.8× 809 1.4× 310 0.8× 68 5.2k
Jay R. Unruh United States 38 3.1k 1.6× 1.4k 1.0× 453 0.6× 268 0.5× 429 1.1× 111 4.4k
Khuloud Jaqaman United States 22 2.4k 1.2× 1.3k 0.9× 800 1.1× 196 0.3× 329 0.9× 42 3.6k
Roland Wedlich‐Söldner Germany 33 3.6k 1.8× 3.0k 2.0× 598 0.8× 523 0.9× 599 1.6× 60 6.3k
Ilan Davis United Kingdom 38 3.2k 1.7× 956 0.6× 581 0.8× 346 0.6× 209 0.6× 99 4.3k
Dirk Wenzel Germany 33 5.3k 2.7× 1.2k 0.8× 469 0.7× 408 0.7× 395 1.1× 61 6.7k
Chikara Sato Japan 38 2.5k 1.3× 934 0.6× 176 0.2× 508 0.9× 329 0.9× 162 4.3k

Countries citing papers authored by Dawen Cai

Since Specialization
Citations

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

Fields of papers citing papers by Dawen Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawen Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Dawen Cai. A scholar is included among the top collaborators of Dawen 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 Dawen Cai. Dawen 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.
Adem, Bárbara, Carolina F. Ruivo, Inês A. Batista, et al.. (2024). Exosomes define a local and systemic communication network in healthy pancreas and pancreatic ductal adenocarcinoma. Nature Communications. 15(1). 1496–1496. 21 indexed citations
2.
Patel, Paras R., et al.. (2023). Post-explant profiling of subcellular-scale carbon fiber intracortical electrodes and surrounding neurons enables modeling of recorded electrophysiology. Journal of Neural Engineering. 20(2). 26019–26019. 9 indexed citations
3.
Li, Ye, et al.. (2023). Input density tunes Kenyon cell sensory responses in the Drosophila mushroom body. Current Biology. 33(13). 2742–2760.e12. 8 indexed citations
4.
Patel, Paras R., Elissa Welle, Hao Shen, et al.. (2022). Utah array characterization and histological analysis of a multi-year implant in non-human primate motor and sensory cortices. Journal of Neural Engineering. 20(1). 14001–14001. 22 indexed citations
5.
Walker, Logan A., et al.. (2022). nGauge: Integrated and Extensible Neuron Morphology Analysis in Python. Neuroinformatics. 20(3). 755–764. 2 indexed citations
7.
Pettibone, Jeffrey R., Paras R. Patel, Dawen Cai, et al.. (2020). Cellular-scale silicon probes for high-density, precisely localized neurophysiology. Journal of Neurophysiology. 124(6). 1578–1587. 14 indexed citations
8.
Welle, Elissa, Paras R. Patel, Artin Petrossians, et al.. (2020). Ultra-small carbon fiber electrode recording site optimization and improved in vivo chronic recording yield. Journal of Neural Engineering. 17(2). 26037–26037. 50 indexed citations
9.
Patel, Paras R., Elissa Welle, Jeffrey R. Pettibone, et al.. (2020). High density carbon fiber arrays for chronic electrophysiology, fast scan cyclic voltammetry, and correlative anatomy. Journal of Neural Engineering. 17(5). 56029–56029. 36 indexed citations
10.
Walker, Logan A., et al.. (2020). Light microscopy based approach for mapping connectivity with molecular specificity. Nature Communications. 11(1). 4632–4632. 27 indexed citations
11.
Roossien, Douglas H., Yan Yan, Cristina Mazuski, et al.. (2019). Multispectral tracing in densely labeled mouse brain with nTracer. Bioinformatics. 35(18). 3544–3546. 14 indexed citations
13.
Roossien, Douglas H., et al.. (2018). Quantitative simulation of extracellular single unit recording from the surface of cortex. Journal of Neural Engineering. 15(5). 56007–56007. 13 indexed citations
14.
Chang, Jae‐Byum, Fei Chen, Young‐Gyu Yoon, et al.. (2017). Iterative expansion microscopy. Nature Methods. 14(6). 593–599. 255 indexed citations
15.
Tillberg, Paul W., Fei Chen, Kiryl D. Piatkevich, et al.. (2016). Protein-retention expansion microscopy of cells and tissues labeled using standard fluorescent proteins and antibodies. PMC. 2 indexed citations
16.
Cai, Dawen, et al.. (2013). Two-photon imaging of multiple fluorescent proteins by phase-shaping and linear unmixing with a single broadband laser. Optics Express. 21(14). 17256–17256. 14 indexed citations
17.
Tao, Qing, et al.. (2011). Optical switch based on cascaded SOI nonlinear directional coupler. Optica Applicata. 41. 4 indexed citations
18.
Cai, Dawen, et al.. (2010). Recording Single Motor Proteins in the Cytoplasm of Mammalian Cells. Methods in enzymology on CD-ROM/Methods in enzymology. 475. 81–107. 6 indexed citations
19.
Cai, Dawen, et al.. (2009). Single Molecule Imaging Reveals Differences in Microtubule Track Selection Between Kinesin Motors. PLoS Biology. 7(10). e1000216–e1000216. 234 indexed citations
20.
Reed, Nathan, Dawen Cai, T. Lynne Blasius, et al.. (2006). Microtubule Acetylation Promotes Kinesin-1 Binding and Transport. Current Biology. 16(21). 2166–2172. 722 indexed citations breakdown →

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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