Daniel Dai

1.9k total citations
11 papers, 267 citations indexed

About

Daniel Dai is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Daniel Dai has authored 11 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Genetics. Recurrent topics in Daniel Dai's work include Protist diversity and phylogeny (6 papers), Microtubule and mitosis dynamics (4 papers) and Photosynthetic Processes and Mechanisms (4 papers). Daniel Dai is often cited by papers focused on Protist diversity and phylogeny (6 papers), Microtubule and mitosis dynamics (4 papers) and Photosynthetic Processes and Mechanisms (4 papers). Daniel Dai collaborates with scholars based in Canada, Japan and United States. Daniel Dai's co-authors include Khanh Huy Bui, Muneyoshi Ichikawa, Shintaroh Kubo, Katya Peri, Javier Vargas, Ahmad Abdelzaher Zaki Khalifa, Corbin Black, Shun Kai Yang, Thomas S. McAlear and Susanne Bechstedt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLANT PHYSIOLOGY.

In The Last Decade

Daniel Dai

11 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Dai Canada 6 170 118 88 29 28 11 267
Corbin Black Canada 9 183 1.1× 111 0.9× 92 1.0× 27 0.9× 26 0.9× 17 303
Katya Peri Canada 5 118 0.7× 82 0.7× 67 0.8× 18 0.6× 23 0.8× 8 198
Thomas S. McAlear Canada 5 145 0.9× 91 0.8× 46 0.5× 8 0.3× 45 1.6× 6 253
Justin R. Houser United States 8 315 1.9× 173 1.5× 73 0.8× 7 0.2× 38 1.4× 12 407
Daisuke Takao Japan 13 361 2.1× 230 1.9× 208 2.4× 8 0.3× 12 0.4× 27 476
Cynthia F. Barber United States 5 221 1.3× 184 1.6× 130 1.5× 20 0.7× 44 1.6× 5 313
Hélio Roque United Kingdom 12 368 2.2× 404 3.4× 117 1.3× 8 0.3× 10 0.4× 14 491
Matthew Wooten United States 11 306 1.8× 53 0.4× 17 0.2× 21 0.7× 41 1.5× 18 454
Xiaobo Bai United States 6 330 1.9× 248 2.1× 27 0.3× 7 0.2× 65 2.3× 10 469
Clinton K. Lau United Kingdom 7 220 1.3× 225 1.9× 44 0.5× 18 0.6× 25 0.9× 11 435

Countries citing papers authored by Daniel Dai

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Dai

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

All Works

11 of 11 papers shown
1.
Yang, Shun Kai, Shintaroh Kubo, Corbin Black, et al.. (2024). Effect of α-tubulin acetylation on the doublet microtubule structure. eLife. 12. 4 indexed citations
2.
Sun, Yi, Shiva Bakhtiari, Yanxia Wu, et al.. (2024). Chloroplast biogenesis involves spatial coordination of nuclear and organellar gene expression in Chlamydomonas. PLANT PHYSIOLOGY. 196(1). 112–123. 3 indexed citations
3.
Aizikov, Konstantin, Dmitry Grinfeld, Oliver Lange, et al.. (2023). Experimental strategies to improve drug-target identification in mass spectrometry-based thermal stability assays. Communications Chemistry. 6(1). 64–64. 6 indexed citations
4.
Yang, Shun Kai, Shintaroh Kubo, Corbin Black, et al.. (2023). Effect of α-tubulin acetylation on the doublet microtubule structure. eLife. 12. 1 indexed citations
5.
Shobo, Adeola, Daniel Dai, Corbin Black, et al.. (2021). The amyloid-β1–42-oligomer interacting peptide D-AIP possesses favorable biostability, pharmacokinetics, and brain region distribution. Journal of Biological Chemistry. 298(1). 101483–101483. 3 indexed citations
6.
Black, Corbin, Daniel Dai, Khanh Bui, Muneyoshi Ichikawa, & Katya Peri. (2021). Preparation of Doublet Microtubule Fraction for Single Particle Cryo-electron Microscopy. BIO-PROTOCOL. 11(11). e4041–e4041. 5 indexed citations
7.
Kubo, Shintaroh, Shun Kai Yang, Corbin Black, et al.. (2021). Remodeling and activation mechanisms of outer arm dyneins revealed by cryo‐EM. EMBO Reports. 22(9). e52911–e52911. 33 indexed citations
8.
Dai, Daniel, et al.. (2020). Identification and mapping of central pair proteins by proteomic analysis. Biophysics and Physicobiology. 17(0). 71–85. 27 indexed citations
9.
Khalifa, Ahmad Abdelzaher Zaki, Muneyoshi Ichikawa, Daniel Dai, et al.. (2020). The inner junction complex of the cilia is an interaction hub that involves tubulin post-translational modifications. eLife. 9. 120 indexed citations
10.
Ichikawa, Muneyoshi, Ahmad Abdelzaher Zaki Khalifa, Shintaroh Kubo, et al.. (2019). Tubulin lattice in cilia is in a stressed form regulated by microtubule inner proteins. Proceedings of the National Academy of Sciences. 116(40). 19930–19938. 55 indexed citations
11.
Gates, Alan & Daniel Dai. (2016). Programming Pig: Dataflow Scripting with Hadoop. 10 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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