Shuang Yan

1.2k total citations
50 papers, 801 citations indexed

About

Shuang Yan is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Shuang Yan has authored 50 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 17 papers in Oncology and 8 papers in Hematology. Recurrent topics in Shuang Yan's work include Multiple Myeloma Research and Treatments (8 papers), Neuroblastoma Research and Treatments (5 papers) and Cancer therapeutics and mechanisms (4 papers). Shuang Yan is often cited by papers focused on Multiple Myeloma Research and Treatments (8 papers), Neuroblastoma Research and Treatments (5 papers) and Cancer therapeutics and mechanisms (4 papers). Shuang Yan collaborates with scholars based in China, United States and Australia. Shuang Yan's co-authors include Carol J. Thiele, Hongxia Zhu, Ningzhi Xu, Shangbin Yang, Yihua Wang, Wei Zhang, Zhijie Li, Cuiqi Zhou, Ning Lü and Lanping Quan and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Shuang Yan

47 papers receiving 791 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuang Yan China 17 466 215 135 85 84 50 801
Monish Ram Makena United States 13 562 1.2× 295 1.4× 196 1.5× 86 1.0× 47 0.6× 27 839
Md Kamrul Hasan United States 19 611 1.3× 316 1.5× 163 1.2× 140 1.6× 70 0.8× 43 1.1k
Konstantinos V. Floros United States 16 707 1.5× 242 1.1× 214 1.6× 71 0.8× 57 0.7× 24 954
Thaned Kangsamaksin Thailand 16 739 1.6× 137 0.6× 169 1.3× 78 0.9× 55 0.7× 29 1.1k
Emilly S. Villodre United States 14 494 1.1× 158 0.7× 138 1.0× 65 0.8× 79 0.9× 22 853
Alessandro Colapietro Italy 17 370 0.8× 262 1.2× 116 0.9× 85 1.0× 49 0.6× 34 728
Stanley Borowicz United States 7 506 1.1× 207 1.0× 182 1.3× 72 0.8× 64 0.8× 14 768
Delphine Courilleau France 15 788 1.7× 217 1.0× 97 0.7× 57 0.7× 117 1.4× 19 1.1k
Ashraful Islam United States 7 939 2.0× 316 1.5× 301 2.2× 127 1.5× 104 1.2× 12 1.2k
Xinping Huang China 17 532 1.1× 154 0.7× 218 1.6× 96 1.1× 48 0.6× 28 796

Countries citing papers authored by Shuang Yan

Since Specialization
Citations

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

Fields of papers citing papers by Shuang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuang Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Shuang Yan. A scholar is included among the top collaborators of Shuang Yan 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 Shuang Yan. Shuang Yan 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, Yan, Jiannong Cen, Jinlan Pan, et al.. (2025). Landscapes of immunoglobulin heavy-chain gene repertoire and its cytogenetic abnormalities in Chinese patients with multiple myeloma. Scientific Reports. 15(1). 22837–22837.
2.
Chai, Daniel, Liping Gao, Wei Zhang, et al.. (2025). The graphene oxide/alginate gel loaded with platelet-rich plasma-derived exosomes regulate notch 1 signaling pathway to promote diabetic foot wound healing. Toxicology and Applied Pharmacology. 504. 117536–117536. 1 indexed citations
3.
Zeng, Jing, Zheng Chen, Shuang Yan, et al.. (2024). Recent development of VEGFR small molecule inhibitors as anticancer agents: A patent review (2021–2023). Bioorganic Chemistry. 146. 107278–107278. 22 indexed citations
4.
Xu, Yuanxin, Lihua Xu, Weiyu Zhou, et al.. (2024). Independent risk factors of left ventricular hypertrophy in non-diabetic individuals in Sierra Leone - a cross-sectional study. Lipids in Health and Disease. 23(1). 259–259.
5.
6.
Zhai, Yingying, Lingzhi Yan, Song Jin, et al.. (2023). Autologous stem cell transplantation in multiple myeloma patients with renal impairment. Annals of Hematology. 102(3). 621–628. 2 indexed citations
7.
Zhang, Haitao, Ting Xie, Shuang Yan, et al.. (2023). Promotion of ICD via Nanotechnology. Macromolecular Bioscience. 23(9). e2300093–e2300093. 14 indexed citations
8.
Fu, Chengcheng, Xingyue Wu, Zhi Yan, et al.. (2023). Speckle Tracking Echocardiography for the Diagnosis and Prognosis of Light Chain Cardiac Amyloidosis. Blood. 142(Supplement 1). 6743–6743.
9.
Jin, Song, Qingqing Wang, Shuang Yan, et al.. (2022). The independent adverse prognostic significance of 1q21 gain/amplification in newly diagnosed multiple myeloma patients. Frontiers in Oncology. 12. 938392–938392. 5 indexed citations
10.
Yan, Shuang, Man Song, Jie Ping, et al.. (2021). ZGRF1 promotes end resection of DNA homologous recombination via forming complex with BRCA1/EXO1. Cell Death Discovery. 7(1). 260–260. 7 indexed citations
11.
Yan, Shuang, Shanshan Gao, & Ping‐Kun Zhou. (2021). Multi-functions of exonuclease 1 in DNA damage response and cancer susceptibility. SHILAP Revista de lepidopterología. 2(4). 146–154. 5 indexed citations
12.
Huang, Ruixue, Shanshan Gao, Huacheng Ning, et al.. (2020). BECN1 promotes radiation-induced G2/M arrest through regulation CDK1 activity: a potential role for autophagy in G2/M checkpoint. Cell Death Discovery. 6(1). 70–70. 26 indexed citations
13.
Yan, Shuang, et al.. (2020). MiR-205 Inhibits Sporadic Vestibular Schwannoma Cell Proliferation by Targeting Cyclin-Dependent Kinase 14. World Neurosurgery. 147. e25–e31. 2 indexed citations
14.
Odate, Seiichi, Veronica Veschi, Shuang Yan, et al.. (2016). Inhibition of STAT3 with the Generation 2.5 Antisense Oligonucleotide, AZD9150, Decreases Neuroblastoma Tumorigenicity and Increases Chemosensitivity. Clinical Cancer Research. 23(7). 1771–1784. 47 indexed citations
15.
Wang, Xin, et al.. (2016). Prevalence, Associated Factors, and Impact on Quality of Life of Migraine in a Community in Northeast China. Journal of Oral & Facial Pain and Headache. 30(2). 139–149. 17 indexed citations
16.
Meng, Jia, et al.. (2014). Visualization of Network Target Crosstalk Optimizes Drug Synergism in Myocardial Ischemia. PLoS ONE. 9(2). e88137–e88137. 8 indexed citations
17.
Li, Zhijie, et al.. (2012). Combination of an Allosteric Akt Inhibitor MK-2206 with Etoposide or Rapamycin Enhances the Antitumor Growth Effect in Neuroblastoma. Clinical Cancer Research. 18(13). 3603–3615. 61 indexed citations
18.
Zhang, Wei, Shuang Yan, Guo Zhang, et al.. (2010). β-Catenin/TCF pathway plays a vital role in selenium induced-growth inhibition and apoptosis in esophageal squamous cell carcinoma (ESCC) cells. Cancer Letters. 296(1). 113–122. 21 indexed citations
19.
He, Shun, Shangbin Yang, Mei Liu, et al.. (2010). Aurora kinase A induces miR-17-92 cluster through regulation of E2F1 transcription factor. Cellular and Molecular Life Sciences. 67(12). 2069–2076. 21 indexed citations
20.
Yan, Shuang, Cuiqi Zhou, Wei Zhang, et al.. (2008). β-Catenin/TCF pathway upregulates STAT3 expression in human esophageal squamous cell carcinoma. Cancer Letters. 271(1). 85–97. 85 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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