Meiting Li
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in
-
- Sirtuins and Resveratrol in Medicine 6
-
- Cardiac Arrhythmias and Treatments 9
- Cardiac pacing and defibrillation studies 8
- Co-authors
- Wei‐Guo Zhu (13 shared papers)Yang Yang (11 shared papers)Tianyun Hou (10 shared papers)Tian Gao (3 shared papers)Xin Ye (1 shared paper)Ying Zhao (8 shared papers)Xiaopeng Lu (7 shared papers)Haiying Wang (9 shared papers)
- Journals
- The FASEB Journal (2 papers)Food Chemistry (2 papers)International Journal of Biological Macromolecules (2 papers)Cell Death and Disease (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaEthiopiaUnited States
In The Last Decade
Meiting Li
45 papers receiving 869 citations
Peers
Comparison fields: 5 of 91
- Geriatrics and Gerontology 148
- Physiology 29
- Cancer Research 86
- Molecular Biology 406
- Aging 9
Countries citing papers authored by Meiting Li
This map shows the geographic impact of Meiting 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 Meiting Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiting Li more than expected).
Fields of papers citing papers by Meiting Li
This network shows the impact of papers produced by Meiting 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 Meiting Li. The network helps show where Meiting Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Meiting 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 187 | |
| 2 | 2022 | 81 | |
| 3 | 2018 | 73 | |
| 4 | 2017 | 72 | |
| 5 | 2015 | 65 | |
| 6 | 2020 | 45 | |
| 7 | 2018 | 33 | |
| 8 | 2023 | 32 | |
| 9 | 2018 | 30 | |
| 10 | 2023 | 24 | |
| 11 | 2021 | 24 | |
| 12 | 2023 | 21 | |
| 13 | 2022 | 20 | |
| 14 | 2023 | 20 | |
| 15 | 2020 | 15 | |
| 16 | 2022 | 13 | |
| 17 | 2023 | 11 | |
| 18 | 2024 | 9 | |
| 19 | 2016 | 8 | |
| 20 | 2018 | 8 |
About Meiting Li
Meiting Li is a scholar working on Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine, Molecular Biology, Artificial Intelligence and Physiology, having authored 51 papers that have together received 885 indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (9 papers), Cardiac pacing and defibrillation studies (8 papers), Sirtuins and Resveratrol in Medicine (6 papers), Advanced Graph Neural Networks (5 papers), Epigenetics and DNA Methylation (5 papers), Autophagy in Disease and Therapy (3 papers), DNA Repair Mechanisms (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Geriatrics and Gerontology (148 citations), Physiology (29 citations), Cancer Research (86 citations), Molecular Biology (406 citations) and Aging (9 citations). Meiting Li has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Wei‐Guo Zhu, Yang Yang, Tianyun Hou, Tian Gao, Xin Ye, Ying Zhao, Xiaopeng Lu, Haiying Wang, Qian Zhu and Qiaoyan Yang. Their work appears in journals such as The FASEB Journal, Food Chemistry, International Journal of Biological Macromolecules, Cell Death and Disease and Oncotarget.
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.