Qinglei Gao

7.6k citations
171 papers · 3.7k indexed · h-index 33
Topics
Ovarian cancer diagnosis and treatment (28 papers)Virus-based gene therapy research (19 papers)PARP inhibition in cancer therapy (19 papers)
Journals
Nature CommunicationsJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Qinglei Gao

158 papers receiving 3.6k citations

Peers

Qinglei Gao
Comparison fields: 5 of 125
  • Molecular Biology 2.1k
  • Oncology 1.0k
  • Cancer Research 756
  • Immunology 569
  • Epidemiology 380
Replace Alexander T.H. Wu with:
Alexander T.H. Wu Taiwan
Tim H.‐M. Huang United States
Cheng-Yang Chou Taiwan
Xi Chen China
Yuan Zhang China
Lisa M. Butler Australia
Carlos Pérez‐Plasencia Mexico
Steffi Oesterreich United States
Uma Chandran United States
Eugenio Erba Italy
Qinglei Gao relative to Alexander T.H. Wu Taiwan Alexander T.H. Wu's profile →
Citations per field
00.5×1.5×
Alexander T.H. Wu · 1×
Citations per year

Countries citing papers authored by Qinglei Gao

Since Specialization
Citations

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

Fields of papers citing papers by Qinglei Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinglei Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Qinglei Gao. A scholar is included among the top collaborators of Qinglei Gao 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 Qinglei Gao. Qinglei Gao 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 2
2 3
3 3
4 21
5 3
6 2
7 10
8 9
9 1
10 9
11 20
12 54
13 3
14 28
15 83
16 75
17 34
18 35
19 78
20
[Correlation of expression of RhoA (RhoC and their effector ROCK-1 with malignant phenotype of ovarian cancer cells in vitro].
3

About Qinglei Gao

Qinglei Gao is a scholar working on Reproductive Medicine, Oncology and Cancer Research, having authored 171 papers that have together received 3.7k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (28 papers), Virus-based gene therapy research (19 papers) and PARP inhibition in cancer therapy (19 papers). The work is most often cited by research in Cancer Research (756 citations), Oncology (1.0k citations) and Reproductive Medicine (293 citations). Qinglei Gao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ding Ma, Jianfeng Zhou, Fei Ye, Zongyuan Yang, Jianhua Chi, Gang Chen, Wei Xiao, Dan Liu, Jiahong Tan and Xiaoxue Zhang. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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