Yaqi Duan

2.9k total citations
56 papers, 1.0k citations indexed

About

Yaqi Duan is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Yaqi Duan has authored 56 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 16 papers in Molecular Biology and 8 papers in Surgery. Recurrent topics in Yaqi Duan's work include Neuroendocrine Tumor Research Advances (6 papers), Ion channel regulation and function (6 papers) and Pancreatic and Hepatic Oncology Research (5 papers). Yaqi Duan is often cited by papers focused on Neuroendocrine Tumor Research Advances (6 papers), Ion channel regulation and function (6 papers) and Pancreatic and Hepatic Oncology Research (5 papers). Yaqi Duan collaborates with scholars based in China, United States and Germany. Yaqi Duan's co-authors include Guoping Wang, Bernd K. Fleischmann, Dong Kuang, Yuting Dong, Wilhelm Bloch, Juergen Hescheler, Xindong Liu, Peng Zhang, Qian Chu and Peng Wang and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Yaqi Duan

53 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaqi Duan China 17 494 235 163 160 156 56 1.0k
Han-Soo Kim South Korea 19 326 0.7× 219 0.9× 102 0.6× 189 1.2× 88 0.6× 54 956
Ramtin Agah United States 11 711 1.4× 128 0.5× 118 0.7× 164 1.0× 312 2.0× 32 1.2k
Martijn Deckers Netherlands 9 615 1.2× 171 0.7× 108 0.7× 171 1.1× 71 0.5× 16 1.1k
Patricia Kumar United Kingdom 19 590 1.2× 120 0.5× 139 0.9× 64 0.4× 87 0.6× 40 1.1k
Tao Ma United States 25 934 1.9× 313 1.3× 386 2.4× 290 1.8× 194 1.2× 69 2.2k
Fulvia Ferrazzi Germany 18 528 1.1× 124 0.5× 106 0.7× 137 0.9× 64 0.4× 59 1.1k
Kazuhiro Maeda Japan 17 1.0k 2.1× 300 1.3× 119 0.7× 158 1.0× 51 0.3× 39 1.6k
Jian‐Yi Wu China 26 950 1.9× 284 1.2× 369 2.3× 288 1.8× 206 1.3× 80 1.6k
Yinan Liu China 22 922 1.9× 159 0.7× 327 2.0× 283 1.8× 63 0.4× 63 1.4k
Gao Guo Germany 21 729 1.5× 244 1.0× 304 1.9× 123 0.8× 170 1.1× 45 1.7k

Countries citing papers authored by Yaqi Duan

Since Specialization
Citations

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

Fields of papers citing papers by Yaqi Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaqi Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Yaqi Duan. A scholar is included among the top collaborators of Yaqi Duan 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 Yaqi Duan. Yaqi Duan 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.
Chen, Jinglong, et al.. (2025). Domain anchor-guided cluster matching for intelligent fault diagnosis under distribution discrepancy and category shift. Expert Systems with Applications. 281. 127677–127677.
2.
Duan, Yaqi, Mengdi Wang, & Martin J. Wainwright. (2024). Optimal policy evaluation using kernel-based temporal difference methods. The Annals of Statistics. 52(5).
3.
Duan, Yaqi & Kaizheng Wang. (2023). Adaptive and robust multi-task learning. The Annals of Statistics. 51(5). 1 indexed citations
4.
Wang, Ronghua, Yuchong Zhao, Yun Wang, et al.. (2022). Diagnostic and Prognostic Values of KRAS Mutations on EUS-FNA Specimens and Circulating Tumor DNA in Patients With Pancreatic Cancer. Clinical and Translational Gastroenterology. 13(5). e00487–e00487. 15 indexed citations
5.
Jia, Qingzhu, Gang Chen, Debing Xiang, et al.. (2022). 568P First-in-human anti-ALPP CAR-T cell immunotherapy for ovarian and endometrial cancer. Annals of Oncology. 33. S807–S807. 4 indexed citations
6.
Duan, Yaqi, et al.. (2021). Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient. International Conference on Machine Learning. 4063–4073. 2 indexed citations
7.
Dong, Yuting, et al.. (2020). Rho-kinase inhibition by Fasudil promotes tumor maturation and apoptosis in small-cell lung cancer.. PubMed Central. 12(8). 4354–4370. 11 indexed citations
8.
Zhang, Man, Wei Yang, Peng Wang, et al.. (2020). CCL7 recruits cDC1 to promote antitumor immunity and facilitate checkpoint immunotherapy to non-small cell lung cancer. Nature Communications. 11(1). 6119–6119. 155 indexed citations
9.
Zhang, Cai, Yaqi Duan, Minghui Xia, et al.. (2019). TFEB Mediates Immune Evasion and Resistance to mTOR Inhibition of Renal Cell Carcinoma via Induction of PD-L1. Clinical Cancer Research. 25(22). 6827–6838. 55 indexed citations
10.
Wang, Ying, et al.. (2017). PP2A regulates SCF-induced cardiac stem cell migration through interaction with p38 MAPK. Life Sciences. 191. 59–67. 12 indexed citations
11.
Zhu, Pengcheng, Yaqi Duan, Qilin Ao, & Guoping Wang. (2017). Microcystic Stromal Tumor of Testicle: First Case Report and Literature Review. Cancer Research and Treatment. 50(4). 1452–1457. 3 indexed citations
12.
Zhu, Pengcheng, et al.. (2016). Erdheim-Chester Disease with Emperipolesis: A Unique Case Involving the Heart. Cancer Research and Treatment. 49(2). 553–558. 9 indexed citations
13.
Li, Jun, et al.. (2016). An Xp11.2 translocation renal cell carcinoma with SMARCB1 (INI1) inactivation in adult end-stage renal disease: a case report. Diagnostic Pathology. 11(1). 98–98. 7 indexed citations
14.
Chen, Dong, Ke Zuo, Ying Wang, et al.. (2015). Crosstalk between SDF-1/CXCR4 and SDF-1/CXCR7 in cardiac stem cell migration. Scientific Reports. 5(1). 16813–16813. 58 indexed citations
15.
Zhao, Xia, et al.. (2015). Hyperhomocysteinemia regulated SCF expression in cultured cardiomyocytes via modulation of NF-κB activities. Molecular and Cellular Biochemistry. 405(1-2). 197–203. 1 indexed citations
16.
Wang, Peng, et al.. (2013). Roles of I(f) and intracellular Ca2+ release in spontaneous activity of ventricular cardiomyocytes during murine embryonic development. Journal of Cellular Biochemistry. 114(8). 1852–1862. 7 indexed citations
17.
Ding, Fengfei, Guibing Zhang, Lu Liu, et al.. (2012). Involvement of cationic channels in proliferation and migration of human mesenchymal stem cells. Tissue and Cell. 44(6). 358–364. 25 indexed citations
18.
Jie, Wei, Xiaoyan Wang, Junli Guo, et al.. (2010). Contribution of CXCR4+/PDGFRβ+ progenitor cells in hypoxic alveolar arterioles muscularization: role of myocardin. Cardiovascular Research. 87(4). 740–750. 9 indexed citations
19.
Reppel, Michael, Philipp Sasse, Roland P. Piekorz, et al.. (2005). S100A1 Enhances the L-type Ca2+ Current in Embryonic Mouse and Neonatal Rat Ventricular Cardiomyocytes. Journal of Biological Chemistry. 280(43). 36019–36028. 30 indexed citations
20.
Fleischmann, Bernd K., Yaqi Duan, Yun Fan, et al.. (2004). Differential subunit composition of the G protein–activated inward-rectifier potassium channel during cardiac development. Journal of Clinical Investigation. 114(7). 994–1001. 39 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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