Su Yang
Impact in
- Aging top 5%
Papers in
-
- Genetic Neurodegenerative Diseases 21
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- Mitochondrial Function and Pathology 17
- CRISPR and Genetic Engineering 7
- Glycosylation and Glycoproteins Research 6
- Co-authors
- Xiao‐Jiang Li (23 shared papers)Shihua Li (22 shared papers)Shanshan Huang (6 shared papers)Huiming Yang (5 shared papers)Bin Liu (12 shared papers)Hecheng Li (10 shared papers)Scott M. Bidlingmaier (11 shared papers)Beisha Tang (5 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Nature Communications (4 papers)Clinical Cancer Research (3 papers)Journal of Clinical Investigation (3 papers)Journal of Experimental & Clinical Cancer Research (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Su Yang
121 papers receiving 4.2k citations
Su Yang's Hit Papers
Peers
Comparison fields: 5 of 124
- Aging 101
- Business and International Management 76
- Cellular and Molecular Neuroscience 640
- Oncology 793
- Molecular Biology 2.2k
Countries citing papers authored by Su Yang
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
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.
All Works
Showing the 20 most-cited of 124 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 → | 2020 | 467 |
| 2 | 2017 | 319 | |
| 3 | 2018 | 257 | |
| 4 | 2021 | 208 | |
| 5 | 2014 | 129 | |
| 6 | 2017 | 121 | |
| 7 | 2017 | 109 | |
| 8 | 2015 | 108 | |
| 9 | 2014 | 106 | |
| 10 | 2019 | 94 | |
| 11 | 2014 | 92 | |
| 12 | 2016 | 89 | |
| 13 | 2020 | 85 | |
| 14 | 2019 | 76 | |
| 15 | 2016 | 69 | |
| 16 | 2018 | 67 | |
| 17 | 2020 | 63 | |
| 18 | 2021 | 62 | |
| 19 | 2011 | 59 | |
| 20 | 2017 | 57 |
About Su Yang
Su Yang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 124 papers that have together received 4.3k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (21 papers), Mitochondrial Function and Pathology (17 papers), CAR-T cell therapy research (12 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), CRISPR and Genetic Engineering (7 papers), Glycosylation and Glycoproteins Research (6 papers), Esophageal Cancer Research and Treatment (6 papers) and Lung Cancer Diagnosis and Treatment (6 papers). The work is most often cited by research in Aging (101 citations), Business and International Management (76 citations), Cellular and Molecular Neuroscience (640 citations), Oncology (793 citations) and Molecular Biology (2.2k 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, Beisha Tang, Zhaohui Steve Qin and Jifeng Guo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Clinical Cancer Research, Journal of Clinical Investigation and Journal of Experimental & Clinical Cancer Research.
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.