Liang Yang

4.5k total citations · 1 hit paper
77 papers, 3.0k citations indexed

About

Liang Yang is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Liang Yang has authored 77 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 35 papers in Cancer Research and 9 papers in Epidemiology. Recurrent topics in Liang Yang's work include Cancer-related molecular mechanisms research (21 papers), MicroRNA in disease regulation (17 papers) and Mitochondrial Function and Pathology (16 papers). Liang Yang is often cited by papers focused on Cancer-related molecular mechanisms research (21 papers), MicroRNA in disease regulation (17 papers) and Mitochondrial Function and Pathology (16 papers). Liang Yang collaborates with scholars based in China, Hong Kong and United States. Liang Yang's co-authors include Hangyu Li, Xueqiang Peng, Jingang Liu, Yingbo Ma, Shibo Wei, Qing Fan, Xiaodong Zhang, Hangyu Li, Yan Li and Xingguo Liu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Liang Yang

76 papers receiving 3.0k citations

Hit Papers

Exosomes in the hypoxic TME: from release, uptake and bio... 2022 2026 2023 2024 2022 40 80 120

Peers

Liang Yang
Comparison fields: 5 of 120
  • Molecular Biology 2.2k
  • Cancer Research 1.4k
  • Epidemiology 311
  • Cell Biology 309
  • Immunology 231
Replace Young Chan Chae with:
Young Chan Chae South Korea
Tamara Copetti Belgium
Zachary T. Schafer United States
Jason R. Cantor United States
David F. Kashatus United States
Laura V. Danai United States
Eun Kyung Lee South Korea
Xin Pan China
Yan Luo China
Young Chan Chae South Korea View profile →
Citations per field, relative to Liang Yang
Liang Yang · 1×
Citations per year, relative to Liang Yang
Liang Yang · 1×

Countries citing papers authored by Liang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Liang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Yang. A scholar is included among the top collaborators of Liang Yang 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 Liang Yang. Liang Yang 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 38
2 26
3 3
4
Exosomes in the hypoxic TME: from release, uptake and biofunctions to clinical applications breakdown →
144
5 10
6 11
7 1
8 10
9 6
10 14
11 174
12 132
13 15
14 37
15 47
16 47
17 22
18 5
19 3
20
[An analysis of the therapeutic effects and reactions in treating acute promyelocytic leukemia with intravenous arsenic trioxide or all-trans retinoic acid].
3

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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