Yating Wang
Impact in
-
- Ginkgo biloba and Cashew Applications
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
Papers in
- Epidemiology 25
- Autophagy in Disease and Therapy 13
- Respiratory viral infections research 3
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- Gut microbiota and health 3
- Co-authors
- Haiping Mao (3 shared papers)Shufang Wang (1 shared paper)Jucong Zhang (1 shared paper)Lingmei Liu (1 shared paper)Xueqing Yu (2 shared papers)Jinjin Fan (2 shared papers)Huiyan Li (2 shared papers)Xuan Peng (2 shared papers)
- Journals
- Frontiers in Immunology (6 papers)Autophagy (4 papers)Nature Microbiology (3 papers)Plants (3 papers)Nuclear Engineering and Design (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yating Wang
87 papers receiving 2.2k citations
Yating Wang's Hit Papers
Peers
Comparison fields: 5 of 153
- Complementary and alternative medicine 150
- Nephrology 107
- Epidemiology 480
- Immunology 277
- Neurology 91
Countries citing papers authored by Yating Wang
This map shows the geographic impact of Yating 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 Yating Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yating Wang more than expected).
Fields of papers citing papers by Yating Wang
This network shows the impact of papers produced by Yating 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 Yating Wang. The network helps show where Yating Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yating 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 169 | |
| 2 | 2020 | 139 | |
| 3 | 2019 | 133 | |
| 4 | The glycolytic enzyme PFKFB3 drives kidney fibrosis through promoting histone lactylation-mediated NF-κB family activation Hit paper breakdown → | 2024 | 115 |
| 5 | 2014 | 96 | |
| 6 | 2021 | 82 | |
| 7 | 2015 | 79 | |
| 8 | 2010 | 69 | |
| 9 | 2020 | 69 | |
| 10 | 2022 | 62 | |
| 11 | 2021 | 60 | |
| 12 | 2017 | 56 | |
| 13 | 2019 | 53 | |
| 14 | 2013 | 50 | |
| 15 | 2011 | 48 | |
| 16 | 2021 | 46 | |
| 17 | 2020 | 40 | |
| 18 | 2020 | 40 | |
| 19 | 2021 | 38 | |
| 20 | 2018 | 38 |
About Yating Wang
Yating Wang is a scholar working on Epidemiology, Molecular Biology, Immunology, Infectious Diseases and Plant Science, having authored 94 papers that have together received 2.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (13 papers), Plant Molecular Biology Research (6 papers), Plant Stress Responses and Tolerance (5 papers), Plant-Microbe Interactions and Immunity (4 papers), Gut microbiota and health (3 papers), Respiratory viral infections research (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Complementary and alternative medicine (150 citations), Nephrology (107 citations), Epidemiology (480 citations), Immunology (277 citations) and Neurology (91 citations). Yating Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Haiping Mao, Shufang Wang, Jucong Zhang, Lingmei Liu, Xueqing Yu, Jinjin Fan, Huiyan Li, Xuan Peng, Justin S. A. Perry and Alissa Trzeciak. Their work appears in journals such as Frontiers in Immunology, Autophagy, Nature Microbiology, Plants and Nuclear Engineering and Design.
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.