Dandan Shen

6.2k total citations · 1 hit paper
95 papers, 2.3k citations indexed

About

Dandan Shen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Dandan Shen has authored 95 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 10 papers in Oncology. Recurrent topics in Dandan Shen's work include Receptor Mechanisms and Signaling (21 papers), Epigenetics and DNA Methylation (12 papers) and Histone Deacetylase Inhibitors Research (8 papers). Dandan Shen is often cited by papers focused on Receptor Mechanisms and Signaling (21 papers), Epigenetics and DNA Methylation (12 papers) and Histone Deacetylase Inhibitors Research (8 papers). Dandan Shen collaborates with scholars based in China, United States and New Zealand. Dandan Shen's co-authors include Yan Zhang, Yi‐Chao Zheng, Hong‐Min Liu, Chunyou Mao, Huibing Zhang, H. Eric Xu, Dirk B. Walther, Lijuan Zhao, Peiyu Xu and Yi Jiang and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Dandan Shen

89 papers receiving 2.3k citations

Hit Papers

Structural insights into the lipid and ligand regulation ... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dandan Shen China 30 1.5k 428 228 190 165 95 2.3k
Yong Zhao China 33 1.2k 0.8× 272 0.6× 458 2.0× 82 0.4× 109 0.7× 98 2.8k
Ying Su China 33 1.8k 1.2× 345 0.8× 421 1.8× 305 1.6× 391 2.4× 139 3.3k
Kyle L. Kolaja United States 30 2.0k 1.3× 673 1.6× 381 1.7× 439 2.3× 128 0.8× 70 3.6k
Li Cheng China 21 1.6k 1.1× 240 0.6× 194 0.9× 215 1.1× 85 0.5× 91 2.9k
Andrzej Stepulak Poland 30 1.8k 1.2× 437 1.0× 389 1.7× 481 2.5× 169 1.0× 112 3.0k
Michael T. Greenwood Canada 27 1.7k 1.1× 316 0.7× 327 1.4× 152 0.8× 54 0.3× 76 3.0k
Yumin Zhang China 29 1.5k 1.0× 539 1.3× 187 0.8× 127 0.7× 105 0.6× 164 3.6k
Tytus Bernaś Poland 24 907 0.6× 161 0.4× 158 0.7× 185 1.0× 93 0.6× 82 1.8k
Zhiping Liu China 35 1.8k 1.2× 229 0.5× 177 0.8× 338 1.8× 93 0.6× 158 4.0k
Jihua Liu China 27 1.0k 0.7× 315 0.7× 201 0.9× 93 0.5× 268 1.6× 124 2.6k

Countries citing papers authored by Dandan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Dandan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dandan Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Dandan Shen. A scholar is included among the top collaborators of Dandan Shen 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 Dandan Shen. Dandan Shen 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.
Shen, Dandan, et al.. (2025). Hybrid optimized algorithms for predicting punching shear strength in flat slabs considering failure modes. KSCE Journal of Civil Engineering. 29(5). 100079–100079. 3 indexed citations
2.
Mamun, MAA, Yi‐Chao Zheng, Ning Wang, et al.. (2024). Decoding CLU (Clusterin): Conquering cancer treatment resistance and immunological barriers. International Immunopharmacology. 137. 112355–112355. 4 indexed citations
3.
Shen, Qingya, Xin Wen, Peng Xiao, et al.. (2024). Molecular Determinant Underlying Selective Coupling of Primary G‐Protein by Class A GPCRs. Advanced Science. 11(23). e2310120–e2310120. 8 indexed citations
5.
Shen, Dandan, et al.. (2024). The Application of Machine Learning Algorithms to Bond Strength between Steel Rebars and Concrete Using Bayesian Optimization. Materials. 17(18). 4641–4641. 1 indexed citations
6.
Zhu, Tao, et al.. (2024). The causal relationship between gut microbiota and preterm birth: a two-sample Mendelian randomization study. The Journal of Maternal-Fetal & Neonatal Medicine. 38(1). 2432528–2432528.
7.
Bai, Yu, et al.. (2023). Numerical simulation of velocity distribution and pollution retention in flexible submerged vegetated channel. Journal of Hydrology. 626. 130265–130265. 8 indexed citations
8.
Yuan, Shuo, et al.. (2023). New drug approvals for 2022: Synthesis and clinical applications. Medicinal Research Reviews. 43(6). 2352–2391. 17 indexed citations
9.
Bai, Yi‐Ru, Weiguang Yang, Dandan Shen, et al.. (2023). The recent advance of Interleukin-1 receptor associated kinase 4 inhibitors for the treatment of inflammation and related diseases. European Journal of Medicinal Chemistry. 258. 115606–115606. 23 indexed citations
10.
Duan, Jia, Peiyu Xu, Huibing Zhang, et al.. (2023). Mechanism of hormone and allosteric agonist mediated activation of follicle stimulating hormone receptor. Nature Communications. 14(1). 519–519. 30 indexed citations
11.
Mao, Chunyou, Yanqing Zhu, Dandan Shen, et al.. (2023). Orthosteric and allosteric modulation of human HCAR2 signaling complex. Nature Communications. 14(1). 7620–7620. 15 indexed citations
12.
Huang, Sijie, Peiyu Xu, Dandan Shen, et al.. (2022). GPCRs steer Gi and Gs selectivity via TM5-TM6 switches as revealed by structures of serotonin receptors. Molecular Cell. 82(14). 2681–2695.e6. 71 indexed citations
13.
Qin, Jiao, Ye Cai, Zheng Xu, et al.. (2022). Molecular mechanism of agonism and inverse agonism in ghrelin receptor. Nature Communications. 13(1). 300–300. 38 indexed citations
14.
Duan, Jia, Dandan Shen, Tingting Zhao, et al.. (2022). Molecular basis for allosteric agonism and G protein subtype selectivity of galanin receptors. Nature Communications. 13(1). 1364–1364. 36 indexed citations
15.
Xu, Peiyu, Sijie Huang, Huibing Zhang, et al.. (2021). Structural insights into the lipid and ligand regulation of serotonin receptors. Nature. 592(7854). 469–473. 185 indexed citations breakdown →
16.
Xu, Peiyu, Sijie Huang, Chunyou Mao, et al.. (2021). Structures of the human dopamine D3 receptor-Gi complexes. Molecular Cell. 81(6). 1147–1159.e4. 57 indexed citations
17.
Shao, Zhehua, Qingya Shen, Bingpeng Yao, et al.. (2021). Identification and mechanism of G protein-biased ligands for chemokine receptor CCR1. Nature Chemical Biology. 18(3). 264–271. 56 indexed citations
18.
Shen, Dandan, et al.. (2021). Multiomic Analysis Reveals Core Regulatory Mechanisms underlying Steroidal Glycoalkaloid Metabolism in Potato Tubers. Journal of Agricultural and Food Chemistry. 70(1). 415–426. 14 indexed citations
19.
Shen, Dandan, et al.. (2019). Shear strength prediction of PRC coupling beams with low span-to-depth ratio. Earthquakes and Structures. 16(6). 757. 1 indexed citations
20.
Wang, Shuai, Lijie Zhao, Xiaojing Shi, et al.. (2019). Development of Highly Potent, Selective, and Cellular Active Triazolo[1,5-a]pyrimidine-Based Inhibitors Targeting the DCN1–UBC12 Protein–Protein Interaction. Journal of Medicinal Chemistry. 62(5). 2772–2797. 67 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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