Lingyu Qin

431 citations
19 papers · 312 indexed · h-index 10
Topics
Cancer-related molecular mechanisms research (3 papers)Wnt/β-catenin signaling in development and cancer (3 papers)Cancer-related gene regulation (3 papers)
Partner nations
China

In The Last Decade

Lingyu Qin

19 papers receiving 308 citations

Peers

Lingyu Qin
Comparison fields: 5 of 73
  • Molecular Biology 143
  • Cancer Research 72
  • Oncology 67
  • Biomaterials 62
  • Biomedical Engineering 51
Replace Zhilan Chen with:
Zhilan Chen China
Vahideh Zarrin Iran
Parham Rahmanian Iran
Pritha Mukherjee India
Mohammad A. Abdulkader United Kingdom
Yuqing Wen China
Elmira Roshani Asl Iran
Aryan Rezaee Iran
Chunying Hou China
Lingyu Qin relative to Zhilan Chen China Zhilan Chen's profile →
Citations per field
00.5×1.5×2.5×
Zhilan Chen · 1×
Citations per year

Countries citing papers authored by Lingyu Qin

Since Specialization
Citations

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

Fields of papers citing papers by Lingyu Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingyu Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Lingyu Qin. A scholar is included among the top collaborators of Lingyu Qin 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 Lingyu Qin. Lingyu Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 4
2 10
3 7
4 1
5 8
6 1
7 1
8 115
9 40
10 31
11 1
12 9
13 3
14 13
15 16
16 10
17
Babaodan inhibits cell growth by inducing autophagy through the PI3K/AKT/mTOR pathway and enhances antitumor effects of cisplatin in NSCLC cells.
17
18
KLK11 suppresses cellular proliferation via inhibition of Wnt/β-catenin signaling pathway in esophageal squamous cell carcinoma.
8
19 17

About Lingyu Qin

Lingyu Qin is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Complementary and alternative medicine, having authored 19 papers that have together received 312 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Cancer Research (72 citations), Pharmaceutical Science (29 citations) and Biomaterials (62 citations). Lingyu Qin has collaborated with scholars based in China. Frequent co-authors include Yanfang Zheng, Xiongjie Zhu, Zhile Liu, Zhongjian Yu, Xiaoran Wu, Lian Deng, Longbao Feng, Rui Guo, Ying Li and Ying Li. Their work appears in journals such as Carbohydrate Polymers, Journal of Ethnopharmacology and Remote Sensing.

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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