Qun‐Ying Lei

36.6k citations
108 papers · 11.7k indexed · 6 hit papers · h-index 47
Topics
Cancer, Hypoxia, and Metabolism (36 papers)Epigenetics and DNA Methylation (22 papers)Hippo pathway signaling and YAP/TAZ (20 papers)
Partner nations
ChinaUnited StatesIndia

In The Last Decade

Qun‐Ying Lei

106 papers receiving 11.6k citations

Hit Papers

The Hippo–YAP pathway in organ size control and tumorigen...200320262010201820102009200320082011250500750

Peers

Qun‐Ying Lei
Comparison fields: 5 of 134
  • Molecular Biology 7.5k
  • Cell Biology 4.0k
  • Cancer Research 2.9k
  • Oncology 1.7k
  • Epidemiology 1.1k
Replace Robin Mathew with:
Robin Mathew United States
Kay F. Macleod United States
Zhimin Lu China
María T. Díaz‐Meco United States
Jorge Moscat United States
David B. Shackelford United States
Patrick Auberger France
Costas A. Lyssiotis United States
Andrew R. Tee United Kingdom
Alejo Efeyan Spain
Qun‐Ying Lei relative to Robin Mathew United States Robin Mathew's profile →
Citations per field
00.5×
Robin Mathew · 1×
Citations per year

Countries citing papers authored by Qun‐Ying Lei

Since Specialization
Citations

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

Fields of papers citing papers by Qun‐Ying Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qun‐Ying Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Qun‐Ying Lei. A scholar is included among the top collaborators of Qun‐Ying Lei 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 Qun‐Ying Lei. Qun‐Ying Lei 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
#WorkIndexed citations
1 4
2 4
3 50
4 9
5 21
6 52
7
D-mannose facilitates immunotherapy and radiotherapy of triple-negative breast cancer via degradation of PD-L1breakdown →
160
8 10
9 34
10 22
11 50
12 174
13 45
14 75
15 128
16 133
17 77
18 435
19 111
20
Glioma-Derived Mutations in IDH1 Dominantly Inhibit IDH1 Catalytic Activity and Induce HIF-1αbreakdown →
896

About Qun‐Ying Lei

Qun‐Ying Lei is a scholar working on Cancer Research, Geriatrics and Gerontology and Cell Biology, having authored 108 papers that have together received 11.7k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (36 papers), Epigenetics and DNA Methylation (22 papers) and Hippo pathway signaling and YAP/TAZ (20 papers). The work is most often cited by research in Cell Biology (4.0k citations), Geriatrics and Gerontology (871 citations) and Cancer Research (2.9k citations). Qun‐Ying Lei has collaborated with scholars based in China, United States and India. Frequent co-authors include Kun‐Liang Guan, Bin Zhao, Yue Xiong, Shimin Zhao, Li Li, Zhengyu Zha, Yiping Wang, Chen‐Ying Liu, Xin Zhou and Di Zhao. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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