Huarui Cui

447 total citations
10 papers, 250 citations indexed

About

Huarui Cui is a scholar working on Molecular Biology, Hematology and Organic Chemistry. According to data from OpenAlex, Huarui Cui has authored 10 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Hematology and 1 paper in Organic Chemistry. Recurrent topics in Huarui Cui's work include Protein Degradation and Inhibitors (8 papers), Multiple Myeloma Research and Treatments (7 papers) and Ubiquitin and proteasome pathways (5 papers). Huarui Cui is often cited by papers focused on Protein Degradation and Inhibitors (8 papers), Multiple Myeloma Research and Treatments (7 papers) and Ubiquitin and proteasome pathways (5 papers). Huarui Cui collaborates with scholars based in United States, Serbia and China. Huarui Cui's co-authors include William C. K. Pomerantz, Daniel A. Harki, Joseph J. Topczewski, Hideki Aihara, Ke Shi, Vijay H. Shah, Xiao Hu, Petra Hirsova, Jinhang Gao and Ningling Kang and has published in prestigious journals such as Angewandte Chemie International Edition, Hepatology and Journal of Medicinal Chemistry.

In The Last Decade

Huarui Cui

10 papers receiving 249 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huarui Cui United States 7 183 107 36 35 35 10 250
Kate Anderton United Kingdom 4 119 0.7× 19 0.2× 36 1.0× 10 0.3× 32 0.9× 8 193
Erin P. Keaney Switzerland 4 95 0.5× 51 0.5× 18 0.5× 44 1.3× 82 2.3× 4 198
Fabiola Cervantes-Gomez United States 6 119 0.7× 83 0.8× 70 1.9× 19 0.5× 10 0.3× 7 291
Katarzyna Anna Baranowska Norway 6 120 0.7× 75 0.7× 39 1.1× 6 0.2× 19 0.5× 11 176
Zongru Jiang China 13 164 0.9× 15 0.1× 49 1.4× 39 1.1× 26 0.7× 19 270
Daniel D. Waller Canada 8 209 1.1× 39 0.4× 63 1.8× 19 0.5× 10 0.3× 14 280
Tian Lu China 10 207 1.1× 101 0.9× 30 0.8× 35 1.0× 5 0.1× 25 260
Karen Norek United States 9 294 1.6× 133 1.2× 70 1.9× 12 0.3× 9 0.3× 15 365
Hélène Ste-Croix Canada 4 275 1.5× 14 0.1× 110 3.1× 34 1.0× 10 0.3× 6 319
Sheng-Ben Liang Canada 5 142 0.8× 39 0.4× 51 1.4× 7 0.2× 6 0.2× 5 190

Countries citing papers authored by Huarui Cui

Since Specialization
Citations

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

Fields of papers citing papers by Huarui Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huarui Cui

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

All Works

10 of 10 papers shown
1.
Cui, Huarui, et al.. (2024). Small-Molecule Approaches to Target Transcription Factors. 8(1). 395–415. 5 indexed citations
2.
Li, Jiaqian, et al.. (2023). Design of Highly Fluorinated Peptides for Cell-based 19F NMR. Bioconjugate Chemistry. 34(8). 1477–1485. 2 indexed citations
3.
Mayasundari, Anand, Huarui Cui, Sergio C. Chai, et al.. (2023). From PROTAC to inhibitor: Structure-guided discovery of potent and orally bioavailable BET inhibitors. European Journal of Medicinal Chemistry. 251. 115246–115246. 6 indexed citations
4.
Cui, Huarui, Elizabeth C. Griffith, Clifford T. Gee, et al.. (2022). A Structure-based Design Approach for Generating High Affinity BRD4 D1-Selective Chemical Probes. Journal of Medicinal Chemistry. 65(3). 2342–2360. 23 indexed citations
5.
Cui, Huarui, Ke Shi, Hideki Aihara, et al.. (2021). 4-Methyl-1,2,3-Triazoles as N-Acetyl-Lysine Mimics Afford Potent BET Bromodomain Inhibitors with Improved Selectivity. Journal of Medicinal Chemistry. 64(14). 10497–10511. 28 indexed citations
6.
Gao, Jinhang, Bo Wei, Mengfei Liu, et al.. (2020). Endothelial p300 Promotes Portal Hypertension and Hepatic Fibrosis Through C‐C Motif Chemokine Ligand 2–Mediated Angiocrine Signaling. Hepatology. 73(6). 2468–2483. 69 indexed citations
7.
Cui, Huarui, Anil K. Pandey, Ke Shi, et al.. (2020). Selective N‐Terminal BET Bromodomain Inhibitors by Targeting Non‐Conserved Residues and Structured Water Displacement**. Angewandte Chemie International Edition. 60(3). 1220–1226. 36 indexed citations
8.
Pandey, Anil K., et al.. (2020). Quantifying the Selectivity of Protein–Protein and Small Molecule Interactions with Fluorinated Tandem Bromodomain Reader Proteins. ACS Chemical Biology. 15(11). 3038–3049. 5 indexed citations
9.
Cui, Huarui, et al.. (2019). Systematically Mitigating the p38α Activity of Triazole-based BET Inhibitors. ACS Medicinal Chemistry Letters. 10(9). 1296–1301. 25 indexed citations
10.
Mishra, Neeraj K., Huarui Cui, John C. Widen, et al.. (2018). Molecular Basis for the N-Terminal Bromodomain-and-Extra-Terminal-Family Selectivity of a Dual Kinase–Bromodomain Inhibitor. Journal of Medicinal Chemistry. 61(20). 9316–9334. 51 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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