Yun‐Song Yang

1.2k total citations · 2 hit papers
14 papers, 709 citations indexed

About

Yun‐Song Yang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yun‐Song Yang has authored 14 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Yun‐Song Yang's work include Cancer, Hypoxia, and Metabolism (4 papers), RNA modifications and cancer (4 papers) and RNA Research and Splicing (3 papers). Yun‐Song Yang is often cited by papers focused on Cancer, Hypoxia, and Metabolism (4 papers), RNA modifications and cancer (4 papers) and RNA Research and Splicing (3 papers). Yun‐Song Yang collaborates with scholars based in China, France and United States. Yun‐Song Yang's co-authors include Yi‐Zhou Jiang, Yi Xiao, Da‐Qiang Li, François Bertucci, Yue Gong, Xin Hu, Ding Ma, Li‐Ping Ge, Yu‐Chen Pei and Linwei Guo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Cell Metabolism.

In The Last Decade

Yun‐Song Yang

14 papers receiving 704 citations

Hit Papers

Metabolic-Pathway-Based Subtyping of Triple-Negative Brea... 2020 2026 2022 2024 2020 2022 50 100 150 200 250

Peers

Yun‐Song Yang
Comparison fields: 5 of 72
  • Molecular Biology 454
  • Cancer Research 346
  • Oncology 194
  • Pulmonary and Respiratory Medicine 133
  • Immunology 82
Replace Gina N. Alesi with:
Gina N. Alesi United States
Madeleine L. Craze United Kingdom
Tian‐Jian Yu China
Michael M. Lizardo United States
Sonia Dolfi United States
Efrosini Tsouko United States
Bradford K. Harris United States
Yu‐Chen Pei China
Dong Hoon Shin South Korea
Rokaya El Ansari United Kingdom
Gina N. Alesi United States View profile →
Citations per field, relative to Yun‐Song Yang
Yun‐Song Yang · 1×
Citations per year, relative to Yun‐Song Yang
Yun‐Song Yang · 1×

Countries citing papers authored by Yun‐Song Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yun‐Song Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun‐Song Yang

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 2
2 14
3 5
4
Comprehensive metabolomics expands precision medicine for triple-negative breast cancer breakdown →
202
5 4
6 11
7 16
8 41
9 18
10 32
11
Metabolic-Pathway-Based Subtyping of Triple-Negative Breast Cancer Reveals Potential Therapeutic Targets breakdown →
296
12 8
13 35
14 25

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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