Shuo Yang
Impact in
- Cancer Research top 10%
- Nephrology top 10%
Papers in
-
- Renal cell carcinoma treatment 5
- Ferroptosis and cancer prognosis 5
- Co-authors
- Xueqiang Peng (3 shared papers)Qing Fan (3 shared papers)Mingyao Huang (3 shared papers)Shibo Wei (3 shared papers)Hangyu Li (2 shared papers)Jiaxing Liu (2 shared papers)Guangpeng He (2 shared papers)Hongyu Zheng (2 shared papers)
- Journals
- Scientific Reports (5 papers)Journal of Clinical Oncology (4 papers)Journal of Clinical Laboratory Analysis (3 papers)PLoS ONE (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Shuo Yang
70 papers receiving 1.3k citations
Shuo Yang's Hit Papers
Peers
Comparison fields: 5 of 116
- Cancer Research 168
- Nephrology 72
- Biochemistry 66
- Emergency Medical Services 43
- Immunology 129
Countries citing papers authored by Shuo Yang
This map shows the geographic impact of Shuo 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 Shuo Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuo Yang more than expected).
Fields of papers citing papers by Shuo Yang
This network shows the impact of papers produced by Shuo 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 Shuo Yang. The network helps show where Shuo Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuo 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The regulation, function, and role of lipophagy, a form of selective autophagy, in metabolic disorders Hit paper breakdown → | 2022 | 188 |
| 2 | 2023 | 74 | |
| 3 | 2016 | 65 | |
| 4 | Histone H3K18 and Ezrin Lactylation Promote Renal Dysfunction in Sepsis‐Associated Acute Kidney Injury Hit paper breakdown → | 2024 | 65 |
| 5 | 2015 | 58 | |
| 6 | 2021 | 53 | |
| 7 | 2017 | 44 | |
| 8 | 2024 | 44 | |
| 9 | 2019 | 42 | |
| 10 | 2020 | 38 | |
| 11 | 2019 | 37 | |
| 12 | 2018 | 35 | |
| 13 | 2019 | 32 | |
| 14 | 2022 | 30 | |
| 15 | 2022 | 29 | |
| 16 | 2022 | 26 | |
| 17 | 2018 | 23 | |
| 18 | 2021 | 23 | |
| 19 | 2024 | 20 | |
| 20 | 2022 | 19 |
About Shuo Yang
Shuo Yang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Nephrology, having authored 72 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Acute Kidney Injury Research (6 papers), Renal cell carcinoma treatment (5 papers), Ferroptosis and cancer prognosis (5 papers), Bladder and Urothelial Cancer Treatments (4 papers), Economic and Financial Impacts of Cancer (4 papers), Immune cells in cancer (3 papers) and Catalytic C–H Functionalization Methods (3 papers). The work is most often cited by research in Cancer Research (168 citations), Nephrology (72 citations), Biochemistry (66 citations), Emergency Medical Services (43 citations) and Immunology (129 citations). Shuo Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xueqiang Peng, Qing Fan, Mingyao Huang, Shibo Wei, Hangyu Li, Jiaxing Liu, Guangpeng He, Hongyu Zheng, Liyan Cui and Liyan Cui. Their work appears in journals such as Scientific Reports, Journal of Clinical Oncology, Journal of Clinical Laboratory Analysis, PLoS ONE and Frontiers in Immunology.
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.