Jian Dai

1.0k total citations · 1 hit paper
23 papers, 794 citations indexed

About

Jian Dai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Spectroscopy. According to data from OpenAlex, Jian Dai has authored 23 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 4 papers in Spectroscopy. Recurrent topics in Jian Dai's work include Neuroscience and Neuropharmacology Research (9 papers), Lipid Membrane Structure and Behavior (7 papers) and Ion channel regulation and function (7 papers). Jian Dai is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Lipid Membrane Structure and Behavior (7 papers) and Ion channel regulation and function (7 papers). Jian Dai collaborates with scholars based in United States, China and Russia. Jian Dai's co-authors include Huan‐Xiang Zhou, Mohammad Alwarawrah, Juyang Huang, Lonnie P. Wollmuth, Rashek Kazi, Timothy A. Cross, Ivan Hung, Zhenhao Fan, Mufeng Li and Guangping Zheng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Jian Dai

23 papers receiving 785 citations

Hit Papers

Overview of high-entropy oxide ceramics 2024 2026 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jian Dai United States 17 577 222 104 100 78 23 794
M. Sameer Al‐Abdul‐Wahid Canada 18 837 1.5× 207 0.9× 159 1.5× 223 2.2× 45 0.6× 38 1.4k
Wanling Song China 21 878 1.5× 194 0.9× 113 1.1× 226 2.3× 62 0.8× 57 1.4k
David L. Worcester United States 13 786 1.4× 197 0.9× 76 0.7× 45 0.5× 205 2.6× 21 953
Christopher Ing Canada 15 532 0.9× 260 1.2× 66 0.6× 93 0.9× 78 1.0× 22 828
Reiko Sakaguchi Japan 23 785 1.4× 155 0.7× 76 0.7× 220 2.2× 81 1.0× 48 1.3k
Wojciech Kopeć Germany 15 594 1.0× 135 0.6× 142 1.4× 80 0.8× 72 0.9× 39 853
Wely B. Floriano United States 21 834 1.4× 478 2.2× 68 0.7× 143 1.4× 66 0.8× 41 1.6k
Shanlin Rao United Kingdom 16 541 0.9× 162 0.7× 67 0.6× 68 0.7× 102 1.3× 24 841
Jennifer L. Dashnau United States 11 373 0.6× 48 0.2× 83 0.8× 145 1.4× 131 1.7× 12 901
Samuel Murail France 21 1.0k 1.8× 386 1.7× 123 1.2× 94 0.9× 57 0.7× 36 1.4k

Countries citing papers authored by Jian Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jian Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Dai. A scholar is included among the top collaborators of Jian 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 Jian Dai. Jian Dai 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.
Xie, Hang, Zhenhao Fan, Linjing Liu, et al.. (2024). Outstanding comprehensive energy storage performances in multiscale synergistic regulation-engineered (Bi0.5Na0.5)TiO3-based multilayer ceramics. Chemical Engineering Journal. 497. 154442–154442. 16 indexed citations
2.
Dai, Jian, Zhenhao Fan, Junye Cheng, et al.. (2024). Overview of high-entropy oxide ceramics. Materials Today. 77. 92–117. 73 indexed citations breakdown →
3.
Dai, Jian, Jinlong Tian, Qiao Jiang, et al.. (2023). The isolation of anthocyanin monomers from blueberry pomace and their radical-scavenging mechanisms in DFT study. Food Chemistry. 418. 135872–135872. 30 indexed citations
4.
5.
Salussolia, Catherine L., Kelvin Chan, Michael C. Regan, et al.. (2017). Divergent roles of a peripheral transmembrane segment in AMPA and NMDA receptors. The Journal of General Physiology. 149(6). 661–680. 30 indexed citations
6.
Batsomboon, Paratchata, Jian Dai, Ivan Hung, et al.. (2016). Differential Binding of Rimantadine Enantiomers to Influenza A M2 Proton Channel. Journal of the American Chemical Society. 138(5). 1506–1509. 30 indexed citations
7.
Gan, Quan, Jian Dai, Huan‐Xiang Zhou, & Lonnie P. Wollmuth. (2016). The Transmembrane Domain Mediates Tetramerization of α-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid (AMPA) Receptors. Journal of Biological Chemistry. 291(12). 6595–6606. 21 indexed citations
8.
Dai, Jian & Huan‐Xiang Zhou. (2016). Semiclosed Conformations of the Ligand-Binding Domains of NMDA Receptors during Stationary Gating. Biophysical Journal. 111(7). 1418–1428. 17 indexed citations
9.
Dai, Jian, Lonnie P. Wollmuth, & Huan‐Xiang Zhou. (2015). Mechanism-Based Mathematical Model for Gating of Ionotropic Glutamate Receptors. The Journal of Physical Chemistry B. 119(34). 10934–10940. 12 indexed citations
10.
Das, Nabanita, Jian Dai, Ivan Hung, et al.. (2014). Structure of CrgA, a cell division structural and regulatory protein from Mycobacterium tuberculosis , in lipid bilayers. Proceedings of the National Academy of Sciences. 112(2). E119–26. 44 indexed citations
11.
Kazi, Rashek, et al.. (2014). Energetic Coupling of the Ligand Binding Domain to Pore Opening in NMDA Receptors. Biophysical Journal. 106(2). 29a–29a. 1 indexed citations
12.
Kazi, Rashek, et al.. (2014). Mechanical coupling maintains the fidelity of NMDA receptor–mediated currents. Nature Neuroscience. 17(7). 914–922. 81 indexed citations
13.
Dai, Jian & Huan‐Xiang Zhou. (2014). General rules for the arrangements and gating motions of pore-lining helices in homomeric ion channels. Nature Communications. 5(1). 4641–4641. 16 indexed citations
14.
Dai, Jian & Huan‐Xiang Zhou. (2014). Reduced Curvature of Ligand-Binding Domain Free-Energy Surface Underlies Partial Agonism at NMDA Receptors. Structure. 23(1). 228–236. 29 indexed citations
15.
Dai, Jian & Huan‐Xiang Zhou. (2013). An NMDA Receptor Gating Mechanism Developed from MD Simulations Reveals Molecular Details Underlying Subunit-Specific Contributions. Biophysical Journal. 104(10). 2170–2181. 37 indexed citations
16.
Jean-François, Frantz, Jian Dai, Lu Yu, et al.. (2013). Binding of MgtR, a Salmonella Transmembrane Regulatory Peptide, to MgtC, a Mycobacterium tuberculosis Virulence Factor: A Structural Study. Journal of Molecular Biology. 426(2). 436–446. 15 indexed citations
17.
Heymann, Gabriel, Jian Dai, Mufeng Li, et al.. (2013). Inter- and intrasubunit interactions between transmembrane helices in the open state of P2X receptor channels. Proceedings of the National Academy of Sciences. 110(42). E4045–54. 46 indexed citations
18.
Dai, Jian, Mohammad Alwarawrah, & Juyang Huang. (2010). Study of the Cholesterol Umbrella Effect in DPPC and DOPC Bilayers by Molecular Dynamics Simulation. Biophysical Journal. 98(3). 489a–489a. 1 indexed citations
19.
Alwarawrah, Mohammad, Jian Dai, & Juyang Huang. (2010). A Molecular View of the Cholesterol Condensing Effect in DOPC Lipid Bilayers. The Journal of Physical Chemistry B. 114(22). 7516–7523. 160 indexed citations
20.
Xu, Hong, et al.. (2009). [The new method of cells growing on the glass slide].. PubMed. 25(2). 283–5. 4 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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