Weini Li
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
-
- Ubiquitin and proteasome pathways 3
- Cancer-related gene regulation 2
-
- Circadian rhythm and melatonin 6
- Co-authors
- Ke Ma (7 shared papers)Vijay Yechoor (4 shared papers)Xuekai Xiong (6 shared papers)Somik Chatterjee (2 shared papers)Shanming Ji (6 shared papers)Jeongkyung Lee (2 shared papers)Guoqiang Zhang (2 shared papers)Pradip Saha (2 shared papers)
- Journals
- Cell Research (1 paper)Developmental Biology (1 paper)The Journal of Organic Chemistry (1 paper)Stem Cell Research & Therapy (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Weini Li
21 papers receiving 260 citations
Peers
Comparison fields: 5 of 64
- Aging 23
- Endocrine and Autonomic Systems 58
- Immunology 44
- Cancer Research 28
- Physiology 46
Countries citing papers authored by Weini Li
This map shows the geographic impact of Weini 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 Weini Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weini Li more than expected).
Fields of papers citing papers by Weini Li
This network shows the impact of papers produced by Weini 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 Weini Li. The network helps show where Weini Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Weini 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 36 | |
| 2 | 2017 | 32 | |
| 3 | 2015 | 29 | |
| 4 | 2020 | 20 | |
| 5 | 2024 | 20 | |
| 6 | 2022 | 19 | |
| 7 | 2022 | 14 | |
| 8 | 2024 | 13 | |
| 9 | 2022 | 12 | |
| 10 | 2015 | 11 | |
| 11 | 2024 | 9 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2025 | 3 |
About Weini Li
Weini Li is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Physiology, Immunology and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 261 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (6 papers), Ubiquitin and proteasome pathways (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Transportation Planning and Optimization (2 papers), Cancer-related gene regulation (2 papers), CAR-T cell therapy research (2 papers), Dietary Effects on Health (2 papers) and Invertebrate Immune Response Mechanisms (2 papers). The work is most often cited by research in Aging (23 citations), Endocrine and Autonomic Systems (58 citations), Immunology (44 citations), Cancer Research (28 citations) and Physiology (46 citations). Weini Li has collaborated with scholars based in China, United States and France. Frequent co-authors include Ke Ma, Vijay Yechoor, Xuekai Xiong, Somik Chatterjee, Shanming Ji, Jeongkyung Lee, Guoqiang Zhang, Pradip Saha, Dahua Chen and Chaoyi Li. Their work appears in journals such as Cell Research, Developmental Biology, The Journal of Organic Chemistry, Stem Cell Research & Therapy and Journal for ImmunoTherapy of Cancer.
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.