Jiaming Li
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 5%
- Telomeres, Telomerase, and Senescence
Papers in
- Aging 7
- Genetics, Aging, and Longevity in Model Organisms 7
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- Mining Techniques and Economics 2
- Co-authors
- Shaojian Wang (1 shared paper)Guanpeng Dong (1 shared paper)Wenzhong Zhang (1 shared paper)Qianqian Liu (1 shared paper)Fangyu Li (1 shared paper)Liang Zhao (1 shared paper)Qi Li (1 shared paper)Ying Qiao (2 shared papers)
- Journals
- Journal of Modern Power Systems and Clean Energy (2 papers)Cell (2 papers)Energy Reports (2 papers)Protein & Cell (2 papers)Immunity (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jiaming Li
30 papers receiving 1.5k citations
Jiaming Li's Hit Papers
Peers
Comparison fields: 5 of 124
- Aging 345
- Physiology 309
- Geriatrics and Gerontology 40
- Molecular Biology 468
- Neuropsychology and Physiological Psychology 16
Countries citing papers authored by Jiaming Li
This map shows the geographic impact of Jiaming 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 Jiaming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaming Li more than expected).
Fields of papers citing papers by Jiaming Li
This network shows the impact of papers produced by Jiaming 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 Jiaming Li. The network helps show where Jiaming Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiaming 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The landscape of aging Hit paper breakdown → | 2022 | 310 |
| 2 | 2021 | 146 | |
| 3 | 2022 | 135 | |
| 4 | 2020 | 115 | |
| 5 | 2022 | 109 | |
| 6 | Spatial transcriptomic landscape unveils immunoglobin-associated senescence as a hallmark of aging Hit paper breakdown → | 2024 | 103 |
| 7 | 2023 | 96 | |
| 8 | 2018 | 89 | |
| 9 | 2022 | 77 | |
| 10 | Comprehensive human proteome profiles across a 50-year lifespan reveal aging trajectories and signatures Hit paper breakdown → | 2025 | 68 |
| 11 | 2021 | 59 | |
| 12 | 2022 | 50 | |
| 13 | 2024 | 42 | |
| 14 | 2023 | 37 | |
| 15 | 2021 | 25 | |
| 16 | 2016 | 15 | |
| 17 | 2023 | 15 | |
| 18 | 2024 | 15 | |
| 19 | 2025 | 14 | |
| 20 | 2022 | 8 |
About Jiaming Li
Jiaming Li is a scholar working on Aging, Control and Systems Engineering, Molecular Biology, Electrical and Electronic Engineering and Physiology, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Single-cell and spatial transcriptomics (6 papers), Telomeres, Telomerase, and Senescence (3 papers), Frequency Control in Power Systems (3 papers), Power Quality and Harmonics (2 papers), Electric Power System Optimization (2 papers), Mining Techniques and Economics (2 papers) and Optimal Power Flow Distribution (2 papers). The work is most often cited by research in Aging (345 citations), Physiology (309 citations), Geriatrics and Gerontology (40 citations), Molecular Biology (468 citations) and Neuropsychology and Physiological Psychology (16 citations). Jiaming Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shaojian Wang, Guanpeng Dong, Wenzhong Zhang, Qianqian Liu, Fangyu Li, Liang Zhao, Qi Li, Ying Qiao, Zongxiang Lu and Rui Li. Their work appears in journals such as Journal of Modern Power Systems and Clean Energy, Cell, Energy Reports, Protein & Cell and Immunity.
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.