Su Yang

119 papers receiving 4.2k citations

Su Yang's Hit Papers

Single-cell RNA landscape of intratumoral heterogeneity and immunosuppressive microenvironment in advanced osteosarcoma 2020 · 476 citations
4760+2+4Years since publication100200300400

Peers

Su Yang
Comparison fields: 5 of 104
  • Cellular and Molecular Neuroscience 569
  • Oncology 607
  • Molecular Biology 1.1k
  • Pulmonary and Respiratory Medicine 512
  • Aging 24
Replace Peter A. Greer with:
Peter A. Greer Canada
Gang Wu China
Hava Karsenty Avraham United States
Stan Krajewski United States
James S. Malter United States
Luc Furic Australia
Zao-zhong Su United States
Paul Krimpenfort Netherlands
Deborah L. Berry United States
Su Yang relative to Peter A. Greer Canada Peter A. Greer's profile →
Citations per field
00.5×2×3.1×
Peter A. Greer · 1×
Citations per year

Countries citing papers authored by Su Yang

Since Specialization
Citations

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

Fields of papers citing papers by Su Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Su Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Su Yang Line = papers co-authored together Su Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Single-cell RNA landscape of intratumoral heterogeneity and immunosuppressive microenvironment in advanced osteosarcoma
Hit paper breakdown →
2020476
2 2017322
3 2018257
4 2021213
5 2014127
6 2017123
7 2015110
8 2017109
9 2014106
10 201996
11 201493
12 201689
13 202086
14 201976
15 201669
16 201868
17 202065
18 202162
19 201159
20 201757

About Su Yang

Su Yang is a scholar working on Cellular and Molecular Neuroscience, Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Hepatology, having authored 122 papers that have together received 4.3k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (21 papers), CAR-T cell therapy research (9 papers), Esophageal Cancer Research and Treatment (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Radiopharmaceutical Chemistry and Applications (5 papers) and Lung Cancer Diagnosis and Treatment (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (569 citations), Oncology (607 citations), Molecular Biology (1.1k citations), Pulmonary and Respiratory Medicine (512 citations) and Aging (24 citations). Su Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiao‐Jiang Li, Shihua Li, Shanshan Huang, Huiming Yang, Bin Liu, Hecheng Li, Scott M. Bidlingmaier, Zhaohui Steve Qin, Beisha Tang and Jifeng Guo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Scientific Reports, Journal of Experimental & Clinical Cancer Research and Journal of Clinical Investigation.

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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