Yusha Wang
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
Papers in
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- Ubiquitin and proteasome pathways 2
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- interferon and immune responses 2
- Immune cells in cancer 2
- Immunotherapy and Immune Responses 2
- Co-authors
- Wei Liu (5 shared papers)Chao Peng (4 shared papers)Tianhua Zhou (3 shared papers)Zhiyuan You (2 shared papers)Rui Huang (1 shared paper)Danhong Zhang (1 shared paper)Jennifer Lippincott‐Schwartz (1 shared paper)Hua Su (1 shared paper)
- Journals
- International Journal of Nanomedicine (2 papers)Immunity (2 papers)Journal of the American Society of Nephrology (1 paper)Entomologia Generalis (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Yusha Wang
19 papers receiving 751 citations
Yusha Wang's Hit Papers
Peers
Comparison fields: 5 of 85
- Geriatrics and Gerontology 69
- Physiology 53
- Epidemiology 273
- Aging 11
- Cancer Research 82
Countries citing papers authored by Yusha Wang
This map shows the geographic impact of Yusha Wang'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 Yusha Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusha Wang more than expected).
Fields of papers citing papers by Yusha Wang
This network shows the impact of papers produced by Yusha Wang. 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 Yusha Wang. The network helps show where Yusha Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yusha Wang, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 244 | |
| 2 | 2019 | 120 | |
| 3 | 2019 | 112 | |
| 4 | Lactylation stabilizes TFEB to elevate autophagy and lysosomal activity Hit paper breakdown → | 2024 | 61 |
| 5 | 2023 | 45 | |
| 6 | 2024 | 36 | |
| 7 | 2022 | 29 | |
| 8 | 2020 | 25 | |
| 9 | 2022 | 21 | |
| 10 | 2019 | 17 | |
| 11 | 2024 | 8 | |
| 12 | 2024 | 8 | |
| 13 | 2014 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2022 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2025 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2025 | 1 | |
| 20 | 2026 | 0 |
About Yusha Wang
Yusha Wang is a scholar working on Molecular Biology, Immunology, Oncology, Epidemiology and Plant Science, having authored 24 papers that have together received 757 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Ubiquitin and proteasome pathways (2 papers), Nanoparticle-Based Drug Delivery (2 papers), interferon and immune responses (2 papers), Insect Pest Control Strategies (2 papers), Immune cells in cancer (2 papers), Immunotherapy and Immune Responses (2 papers) and Machine Learning and ELM (2 papers). The work is most often cited by research in Geriatrics and Gerontology (69 citations), Physiology (53 citations), Epidemiology (273 citations), Aging (11 citations) and Cancer Research (82 citations). Yusha Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Wei Liu, Chao Peng, Tianhua Zhou, Zhiyuan You, Rui Huang, Danhong Zhang, Jennifer Lippincott‐Schwartz, Hua Su, Catherine C. L. Wong and Qiuhong Shen. Their work appears in journals such as International Journal of Nanomedicine, Immunity, Journal of the American Society of Nephrology, Entomologia Generalis 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.