Ying Shen

526 total citations · 1 hit paper
10 papers, 398 citations indexed

About

Ying Shen is a scholar working on Molecular Biology, Reproductive Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ying Shen has authored 10 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Reproductive Medicine and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ying Shen's work include Genomics, phytochemicals, and oxidative stress (3 papers), Menstrual Health and Disorders (2 papers) and Cancer-related gene regulation (2 papers). Ying Shen is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (3 papers), Menstrual Health and Disorders (2 papers) and Cancer-related gene regulation (2 papers). Ying Shen collaborates with scholars based in China. Ying Shen's co-authors include Xin Li, Bin Zhang, Dandan Dong, Peng Shang, Yanru Xue, Feng‐Juan Han, Fang-Yuan Liu, Liangzhen Xie, Ying Guo and Ying Guo and has published in prestigious journals such as Frontiers in Immunology, Oxidative Medicine and Cellular Longevity and Frontiers in Oncology.

In The Last Decade

Ying Shen

10 papers receiving 394 citations

Hit Papers

align trajectories

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.

Transferrin receptor 1 in cancer: a new sight for cancer therapy.

2018 301 citations Ying Shen, Xin Li et al. PubMed profile →

Peers

Ying Shen

MB

PRM

BIOMA

CR

ONCOL

Dava J. Garcia United States

Guangyue Shi China

Can Huang China

María Loreto Bravo Chile

Ke Hao China

Vittoria Raimondi Italy

Chengmeng Jin China

Zhen Feng China

Liuchunyang Yu China

Carolina Hassibe Thomé Brazil

Dava J. Garcia United States

Ying Shen

134 ×0.7

MB

59 ×0.8

PRM

62 ×0.9

BIOMA

38 ×0.6

CR

144 ×2.5

ONCOL

Citations per year, relative to Ying Shen Ying Shen (= 1×) peers Dava J. Garcia

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

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Li, Chan, et al.. (2025). Mechanisms of the JNK/p38 MAPK signaling pathway in drug resistance in ovarian cancer. Frontiers in Oncology. 15. 1533352–1533352. 1 indexed citations

2.

Shen, Ying, et al.. (2024). Independent organelle and organelle—organelle interactions: essential mechanisms for malignant gynecological cancer cell survival. Frontiers in Immunology. 15. 1393852–1393852. 4 indexed citations

3.

Wang, Min, et al.. (2024). NQO1 polymorphism and susceptibility to ischemic stroke in a Chinese population. BMC Medical Genomics. 17(1). 219–219. 1 indexed citations

4.

Shen, Ying, et al.. (2023). 32.1: Research of Nanocomposite Materials with High Refractive Index for HLEMS Application. SID Symposium Digest of Technical Papers. 54(S1). 210–214. 1 indexed citations

5.

Shen, Ying, et al.. (2022). Complementary and Alternative Medicine for Premature Ovarian Insufficiency: A Review of Utilization and Mechanisms. Evidence-based Complementary and Alternative Medicine. 2022. 1–15. 14 indexed citations

6.

Cao, Sisi, et al.. (2022). Ecological roles of secondary metabolites of Saposhnikovia divaricata in adaptation to drought stress. PeerJ. 10. e14336–e14336. 11 indexed citations

7.

Xie, Liangzhen, et al.. (2021). Insights into the Role of Oxidative Stress in Ovarian Cancer. Oxidative Medicine and Cellular Longevity. 2021(1). 8388258–8388258. 41 indexed citations

8.

Guo, Ying, Fang-Yuan Liu, Ying Shen, et al.. (2021). Complementary and Alternative Medicine for Dysmenorrhea Caused by Endometriosis: A Review of Utilization and Mechanism. Evidence-based Complementary and Alternative Medicine. 2021. 1–14. 17 indexed citations

9.

Li, Jianping, et al.. (2019). Casein kinase 1α-dependent inhibition of Wnt/β-catenin selectively targets nasopharyngeal carcinoma and increases chemosensitivity. Anti-Cancer Drugs. 30(7). 685–692. 7 indexed citations

10.

Shen, Ying, Xin Li, Dandan Dong, et al.. (2018). Transferrin receptor 1 in cancer: a new sight for cancer therapy.. PubMed. 8(6). 916–931. 301 indexed citations breakdown →

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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