Ying Shen

2.5k total citations · 2 hit papers
55 papers, 1.4k citations indexed

About

Ying Shen is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ying Shen has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 20 papers in Cancer Research and 13 papers in Oncology. Recurrent topics in Ying Shen's work include Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (12 papers) and Multiple Myeloma Research and Treatments (7 papers). Ying Shen is often cited by papers focused on Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (12 papers) and Multiple Myeloma Research and Treatments (7 papers). Ying Shen collaborates with scholars based in China, United States and Switzerland. Ying Shen's co-authors include Peng Shang, Bin Zhao, Huanhuan Lv, Yanwei Su, Zheyuan Zhang, Liangfu Zhou, Thomas J. Wronski, M. Li, Xiaobo Huang and Wolf‐Dieter Rausch and has published in prestigious journals such as Blood, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Ying Shen

52 papers receiving 1.4k citations

Hit Papers

Ferroptosis, a novel pharmacological mechanism of anti-ca... 2020 2026 2022 2024 2020 2022 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Ferroptosis, a novel pharmacological mechanism of anti-cancer drugs
    2020 465 citations Ying Shen et al. profile →
  2. Iron Dyshomeostasis and Ferroptosis: A New Alzheimer’s Disease Hypothesis?
    2022 125 citations Ying Shen et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Shen China 18 836 579 471 223 140 55 1.4k
Hua Guo United States 24 1.3k 1.5× 315 0.5× 273 0.6× 840 3.8× 119 0.8× 69 2.3k
Janine Arts Netherlands 23 1.1k 1.3× 251 0.4× 89 0.2× 488 2.2× 76 0.5× 44 1.7k
Christina Ravera United States 9 716 0.9× 145 0.3× 111 0.2× 554 2.5× 166 1.2× 15 1.3k
Wei Ji China 28 1.2k 1.4× 559 1.0× 384 0.8× 516 2.3× 16 0.1× 94 2.1k
Alpaslan Tasdogan Germany 18 1.1k 1.4× 723 1.2× 443 0.9× 362 1.6× 12 0.1× 52 1.9k
Xinxin Zhang China 18 684 0.8× 318 0.5× 436 0.9× 517 2.3× 30 0.2× 76 1.5k
Tal Hirschhorn United States 10 781 0.9× 506 0.9× 722 1.5× 118 0.5× 10 0.1× 15 1.3k
Silvia Baldari Italy 18 603 0.7× 273 0.5× 103 0.2× 242 1.1× 22 0.2× 24 1.2k
Yang Jiang China 28 1.5k 1.7× 817 1.4× 220 0.5× 379 1.7× 13 0.1× 64 2.1k

Countries citing papers authored by Ying Shen

Since Specialization
Citations

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

Fields of papers citing papers by Ying Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Shen. A scholar is included among the top collaborators of Ying 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 Ying Shen. Ying 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, Ying, et al.. (2025). Berberine alleviates tendinopathy by suppressing the cGAS-STING pathway and Relieving ferroptosis. Biochemical and Biophysical Research Communications. 767. 151923–151923. 1 indexed citations
2.
Shen, Ying, et al.. (2024). Association of whole blood essential metals with neurodevelopment among preschool children. Pediatric Research. 98(1). 107–113. 1 indexed citations
3.
Li, Wen, Rui Liu, Ying Shen, et al.. (2024). Incidence, Risk Factors, and Modified Risk Assessment Model of Venous Thromboembolism in Non‐Hodgkin Lymphoma Patients. Cancer Medicine. 13(24). e70510–e70510. 2 indexed citations
4.
Miao, Jiyu, Ru Zhang, Rui Liu, et al.. (2024). KIF22 promotes multiple myeloma progression by regulating the CDC25C/CDK1/cyclinB1 pathway. Journal of Cancer Research and Clinical Oncology. 150(5). 239–239. 3 indexed citations
5.
Feng, Yuandong, et al.. (2024). Characterization of stem cell landscape and assessing the stemness degree to aid clinical therapeutics in hematologic malignancies. Scientific Reports. 14(1). 23743–23743. 1 indexed citations
6.
Shen, Ying, et al.. (2024). Association of Magnesium, Iron, Copper, and Zinc Levels with the Prevalence of Behavior Problems in Children and Adolescents. Biological Trace Element Research. 202(12). 5356–5365. 1 indexed citations
7.
Shen, Ying, Jie Liu, Baiyan Wang, et al.. (2023). Serum soluble BCMA can be used to monitor relapse of multiple myeloma patients after chimeric antigen receptor T-cell immunotherapy. Current Research in Translational Medicine. 71(2). 103378–103378. 10 indexed citations
8.
Shen, Ying, et al.. (2023). [Effect of MXRA7 on the Biological Functions of Acute B Lymphoblastic Leukemia Cell Line REH].. PubMed. 31(1). 50–56. 1 indexed citations
9.
Xiao, Yu, Rui Liu, Dan Yang, et al.. (2023). PRMT1 methylation of WTAP promotes multiple myeloma tumorigenesis by activating oxidative phosphorylation via m6A modification of NDUFS6. Cell Death and Disease. 14(8). 512–512. 23 indexed citations
10.
11.
12.
Liu, Rui, Ying Shen, Jinsong Hu, et al.. (2021). Comprehensive Analysis of m6A RNA Methylation Regulators in the Prognosis and Immune Microenvironment of Multiple Myeloma. Frontiers in Oncology. 11. 731957–731957. 7 indexed citations
13.
Shen, Chunmei, et al.. (2021). Comparative Proteomics Demonstrates Altered Metabolism Pathways in Cotrimoxazole- Resistant and Amikacin-Resistant Klebsiella pneumoniae Isolates. Frontiers in Microbiology. 12. 773829–773829. 5 indexed citations
14.
Peng, Yue, Peihua Zhang, Xiaman Wang, et al.. (2020). IGF-1 promotes multiple myeloma progression through PI3K/Akt-mediated epithelial-mesenchymal transition. Life Sciences. 249. 117503–117503. 32 indexed citations
15.
Shen, Ying, Ru Zhang, Hongli Chen, et al.. (2019). Using Circ-ANAPC7 As a Novel Type of Biomarker in the Monitoring of Acute Myeloid Leukemia. Blood. 134(Supplement_1). 5179–5179. 1 indexed citations
16.
17.
Chen, Xifeng, Zhenzhen Guo, Yuguo Tang, Ying Shen, & Peng Miao. (2017). A highly sensitive gold nanoparticle-based electrochemical aptasensor for theophylline detection. Analytica Chimica Acta. 999. 54–59. 49 indexed citations
18.
Shen, Ying, M. Li, & Thomas J. Wronski. (1997). Calcitonin Provides Complete Protection Against Cancellous Bone Loss in the Femoral Neck of Ovariectomized Rats. Calcified Tissue International. 60(5). 457–461. 13 indexed citations
19.
Li, M., Ying Shen, & Thomas J. Wronski. (1997). Time course of femoral neck osteopenia in ovariectomized rats. Bone. 20(1). 55–61. 86 indexed citations
20.
Li, M., et al.. (1996). Skeletal response to corticosteroid deficiency and excess in growing male rats. Bone. 19(2). 81–88. 53 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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