Yanlei Guan

886 total citations
26 papers, 692 citations indexed

About

Yanlei Guan is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Yanlei Guan has authored 26 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Cancer Research and 6 papers in Genetics. Recurrent topics in Yanlei Guan's work include MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (9 papers) and Cancer-related molecular mechanisms research (9 papers). Yanlei Guan is often cited by papers focused on MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (9 papers) and Cancer-related molecular mechanisms research (9 papers). Yanlei Guan collaborates with scholars based in China, Japan and United States. Yanlei Guan's co-authors include Nobuhiro Hata, Masahiro Mizoguchi, Koji Yoshimoto, Tomio Sasaki, Akira Nakamizo, Yunjie Wang, Yijun Bao, Toshiyuki Amano, Tadahisa Shono and Satoshi O. Suzuki and has published in prestigious journals such as Scientific Reports, Clinical Cancer Research and International Journal of Cancer.

In The Last Decade

Yanlei Guan

25 papers receiving 681 citations

Peers

Yanlei Guan
Comparison fields: 5 of 79
  • Molecular Biology 440
  • Cancer Research 402
  • Genetics 137
  • Epidemiology 60
  • Oncology 50
Replace Chaoming Mao with:
Chaoming Mao China
Charlotte Asker Sweden
Si‐Jian Pan China
Richard Ziegler United States
Mariana Maschietto Brazil
Jolanda Schieving Netherlands
Cecilia Mancini Italy
Fadi Saadeh Lebanon
Yoshinori Nishimoto Japan
Birgitte Bertelsen Denmark
Chaoming Mao China View profile →
Citations per field, relative to Yanlei Guan
Yanlei Guan · 1×
Citations per year, relative to Yanlei Guan
Yanlei Guan · 1×

Countries citing papers authored by Yanlei Guan

Since Specialization
Citations

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

Fields of papers citing papers by Yanlei Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanlei Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Yanlei Guan. A scholar is included among the top collaborators of Yanlei Guan 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 Yanlei Guan. Yanlei Guan 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
# Work Indexed citations
1 4
2 4
3 55
4 15
5 13
6 7
7 19
8 44
9 39
10 22
11 33
12
Identification of low miR-105 expression as a novel poor prognostic predictor for human glioma.
15
13 47
14 26
15 20
16 156
17 29
18 12
19 3
20 32

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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