Weida Li
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Aquatic Science top 2%
- Seaweed-derived Bioactive Compounds
Papers in
- Surgery 15
- Pancreatic function and diabetes 14
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- Pluripotent Stem Cells Research 6
- Metabolism, Diabetes, and Cancer 4
- Co-authors
- Qiao Zhou (7 shared papers)Xiaochen Wang (4 shared papers)Huimin Qi (4 shared papers)Dongfeng Zhao (3 shared papers)Yu Zhuang (7 shared papers)Jian Du (8 shared papers)Mio Nakanishi (2 shared papers)Adrian Zumsteg (3 shared papers)
- Journals
- Development (2 papers)International Journal of Biological Macromolecules (2 papers)Cell Death and Differentiation (2 papers)Advanced Science (2 papers)Journal of Cleaner Production (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Weida Li
53 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 129
- Aging 111
- Aquatic Science 161
- Surgery 350
- Endocrinology, Diabetes and Metabolism 128
- Cell Biology 135
Countries citing papers authored by Weida Li
This map shows the geographic impact of Weida Li'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 Weida Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weida Li more than expected).
Fields of papers citing papers by Weida Li
This network shows the impact of papers produced by Weida Li. 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 Weida Li. The network helps show where Weida Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Weida Li, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 110 | |
| 2 | 2010 | 104 | |
| 3 | 2014 | 95 | |
| 4 | 2011 | 90 | |
| 5 | 2018 | 80 | |
| 6 | 2021 | 68 | |
| 7 | 2019 | 60 | |
| 8 | 2009 | 54 | |
| 9 | 2017 | 53 | |
| 10 | 2009 | 52 | |
| 11 | 2017 | 51 | |
| 12 | 2008 | 48 | |
| 13 | 2018 | 44 | |
| 14 | 2018 | 44 | |
| 15 | 2021 | 39 | |
| 16 | 2021 | 39 | |
| 17 | 2021 | 36 | |
| 18 | 2018 | 34 | |
| 19 | 2016 | 31 | |
| 20 | 2015 | 27 |
About Weida Li
Weida Li is a scholar working on Surgery, Molecular Biology, Genetics, Biomedical Engineering and Cell Biology, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (14 papers), Pluripotent Stem Cells Research (6 papers), Diabetes and associated disorders (4 papers), Carbon Dioxide Capture Technologies (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Seaweed-derived Bioactive Compounds (4 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Aging (111 citations), Aquatic Science (161 citations), Surgery (350 citations), Endocrinology, Diabetes and Metabolism (128 citations) and Cell Biology (135 citations). Weida Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Qiao Zhou, Xiaochen Wang, Huimin Qi, Dongfeng Zhao, Yu Zhuang, Jian Du, Mio Nakanishi, Adrian Zumsteg, Douglas A. Melton and Christopher V.E. Wright. Their work appears in journals such as Development, International Journal of Biological Macromolecules, Cell Death and Differentiation, Advanced Science and Journal of Cleaner Production.
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.