Yujia Dai

2.0k total citations
28 papers, 1.1k citations indexed

About

Yujia Dai is a scholar working on Organic Chemistry, Molecular Biology and Plant Science. According to data from OpenAlex, Yujia Dai has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organic Chemistry, 9 papers in Molecular Biology and 8 papers in Plant Science. Recurrent topics in Yujia Dai's work include Seed Germination and Physiology (4 papers), Supramolecular Chemistry and Complexes (4 papers) and Peptidase Inhibition and Analysis (4 papers). Yujia Dai is often cited by papers focused on Seed Germination and Physiology (4 papers), Supramolecular Chemistry and Complexes (4 papers) and Peptidase Inhibition and Analysis (4 papers). Yujia Dai collaborates with scholars based in United States, China and Germany. Yujia Dai's co-authors include Thomas J. Katz, Xiaofeng Luo, Kai Shu, Wenyu Yang, Wenguan Zhou, Junbo Du, Chuan Zheng, Paul A. Grieco, Patrick A. Marcotte and Steven K. Davidsen and has published in prestigious journals such as Journal of the American Chemical Society, Blood and Cancer Research.

In The Last Decade

Yujia Dai

27 papers receiving 1.1k citations

Peers

Yujia Dai

ONCOL

Sung‐Kee Chung South Korea

Hans Peter Wessel Switzerland

Yuli Wang China

Qianqian Jiang China

Karl‐Heinz Glüsenkamp Germany

Ernesto G. Occhiato Italy

Lai Chen China

Ioanna P. Petrounia United States

Miroslav Soural Czechia

Sung‐Kee Chung South Korea

Yujia Dai

127 ×0.3

580 ×1.5

644 ×1.7

60 ×0.5

67 ×0.7

ONCOL

Citations per year, relative to Yujia Dai Yujia Dai (= 1×) peers Sung‐Kee Chung

Countries citing papers authored by Yujia Dai

Since Specialization

Citations

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

Fields of papers citing papers by Yujia Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujia Dai

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

All Works

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20 of 20 papers shown

Phillips, Darren C., Cory Alvey, Justin P. Ingram, et al.. (2024). Abbv-453: A Highly Potent and Selective Next Generation Small Molecule Inhibitor of BCL-2. Blood. 144(Supplement 1). 4966–4966. 1 indexed citations

Liu, Yang, et al.. (2024). A novel three‐layer module BoMYB1R1‐BoMYB4b/BoMIEL1‐BoDFR1 regulates anthocyanin accumulation in kale. The Plant Journal. 119(4). 1737–1750. 6 indexed citations

Luo, Xiaofeng, Yujia Dai, Chuan Zheng, et al.. (2020). The ABI4‐RbohD/VTC2 regulatory module promotes reactive oxygen species (ROS) accumulation to decrease seed germination under salinity stress. New Phytologist. 229(2). 950–962. 143 indexed citations

Dai, Yujia, Xiaofeng Luo, Wenguan Zhou, et al.. (2019). Plant Systemic Signaling Under Biotic and Abiotic Stresses Conditions. Chinese Bulletin of Botany. 54(2). 255. 2 indexed citations

Feng, Chen, Xiaofeng Luo, Wenguan Zhou, et al.. (2019). Genome-wide identification of GRF transcription factors in soybean and expression analysis of GmGRF family under shade stress. BMC Plant Biology. 19(1). 269–269. 47 indexed citations

Shu, Kai, Feng Chen, Wenguan Zhou, et al.. (2018). ABI4 regulates the floral transition independently of ABI5 and ABI3. Molecular Biology Reports. 45(6). 2727–2731. 20 indexed citations

Zhou, Wenguan, Feng Chen, Caiqiong Yang, et al.. (2018). DA-6 promotes germination and seedling establishment from aged soybean seeds by mediating fatty acid metabolism and glycometabolism. Journal of Experimental Botany. 70(1). 101–114. 79 indexed citations

Shuai, Haiwei, Yongjie Meng, Xiaofeng Luo, et al.. (2017). Exogenous auxin represses soybean seed germination through decreasing the gibberellin/abscisic acid (GA/ABA) ratio. Scientific Reports. 7(1). 12620–12620. 125 indexed citations

Ji, Zhiqin, Yujia Dai, Cele Abad‐Zapatero, et al.. (2012). Exploration of diverse hinge-binding scaffolds for selective Aurora kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 22(14). 4528–4531. 5 indexed citations

10.

McClellan, William J., Yujia Dai, Cele Abad‐Zapatero, et al.. (2011). Discovery of potent and selective thienopyrimidine inhibitors of Aurora kinases. Bioorganic & Medicinal Chemistry Letters. 21(18). 5620–5624. 39 indexed citations

11.

Donawho, Cherrie K., Jonathan A. Hickson, Yichun Wang, et al.. (2007). The RTK inhibitor ABT-869, alone and in combination with paclitaxel and/or zoledronic acid, demonstrates significant reduction in the development of both osteoblastic (LuCap 23.1) and osteolytic (PC3-M-Luciferase) tumors intratibially. Molecular Cancer Therapeutics. 6. 2 indexed citations

12.

Donawho, Cherrie K., Yichun Wang, Gail Bukofzer, et al.. (2007). The RTK inhibitor, ABT-869 alone or in combination with various cytotoxic therapies demonstrate significant tumor growth inhibition in orthotopic hepatocellular carcinoma, renal cell carcinoma and prostate xenografts. Molecular Cancer Therapeutics. 6. 1 indexed citations

13.

Dai, Yujia, Niru B. Soni, Lori J. Pease, et al.. (2007). Identification of aminopyrazolopyridine ureas as potent VEGFR/PDGFR multitargeted kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 18(1). 386–390. 31 indexed citations

14.

Li, Junling, Lori J. Pease, Paul Tapang, et al.. (2005). ABT-869 a novel multi-targeted receptor tyrosine kinase inhibitor: characterization of FLT3 phosphorylation in a model of acute myelogenous leukemia. Cancer Research. 65. 1407–1407.

15.

Dai, Yujia, Yan Guo, Jun Guo, et al.. (2003). Indole amide hydroxamic acids as potent inhibitors of histone deacetylases. Bioorganic & Medicinal Chemistry Letters. 13(11). 1897–1901. 34 indexed citations

16.

Dai, Yujia, Yan Guo, Michael L. Curtin, et al.. (2003). A novel series of histone deacetylase inhibitors incorporating hetero aromatic ring systems as connection units. Bioorganic & Medicinal Chemistry Letters. 13(21). 3817–3820. 33 indexed citations

17.

Dai, Yujia & Thomas J. Katz. (1997). Synthesis of Helical Conjugated Ladder Polymers. The Journal of Organic Chemistry. 62(5). 1274–1285. 100 indexed citations

18.

Dai, Yujia, et al.. (1996). Synthesis of a Helical Conjugated Ladder Polymer. Angewandte Chemie International Edition in English. 35(18). 2109–2111. 109 indexed citations

19.

Dai, Yujia, et al.. (1996). Synthese eines helicalen, konjugierten Leiterpolymers. Angewandte Chemie. 108(18). 2230–2232. 18 indexed citations

20.

Meier, Herbert & Yujia Dai. (1993). Preparation of dithiacycloalkynes by cyclization reactions applying the cesium effect. Tetrahedron Letters. 34(33). 5277–5280. 18 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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