Ji Li
Impact in
- Geriatrics and Gerontology top 1%
- Sirtuins and Resveratrol in Medicine
- Aging top 5%
Papers in
- Co-authors
- Lawrence H. YoungRaymond R. RussellMarc PypaertAlex MorrisonChristoph ZechnerMorris J. BirnbaumDavid CovenJames Mu
- Journals
- Circulation (3 papers)American Journal of Physiology-Endocrinology and Metabolism (3 papers)Life Sciences (3 papers)Biochemical and Biophysical Research Communications (3 papers)Journal of Molecular and Cellular Cardiology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ji Li
70 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Geriatrics and Gerontology 273
- Aging 81
- Physiology 183
- Molecular Biology 2.5k
- Physiology 878
Countries citing papers authored by Ji Li
This map shows the geographic impact of Ji 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 Ji Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Li more than expected).
Fields of papers citing papers by Ji Li
This network shows the impact of papers produced by Ji 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 Ji Li. The network helps show where Ji Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 8 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 21 | |
| 5 | 2022 | 25 | |
| 6 | 2021 | 11 | |
| 7 | 2020 | 21 | |
| 8 | 2020 | 14 | |
| 9 | 2018 | 82 | |
| 10 | 2017 | 24 | |
| 11 | 2016 | 24 | |
| 12 | 2014 | 24 | |
| 13 | 2013 | 26 | |
| 14 | 2011 | 66 | |
| 15 | 2011 | 22 | |
| 16 | 2007 | 16 | |
| 17 | 2006 | 225 | |
| 18 | AMP-activated protein kinase mediates ischemic glucose uptake and prevents postischemic cardiac dysfunction, apoptosis, and injury Hit paper breakdown → | 2004 | 618 |
| 19 | 2004 | 170 | |
| 20 | 2003 | 48 |
About Ji Li
Ji Li is a scholar working on Geriatrics and Gerontology, Biochemistry, Physiology, Complementary and alternative medicine and Cancer Research, having authored 72 papers that have together received 4.2k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (22 papers), Pancreatic function and diabetes (11 papers), Autophagy in Disease and Therapy (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Cardiovascular Function and Risk Factors (5 papers), Adipose Tissue and Metabolism (5 papers), Cardiac Ischemia and Reperfusion (5 papers) and Ginseng Biological Effects and Applications (4 papers). The work is most often cited by research in Geriatrics and Gerontology (273 citations), Aging (81 citations), Physiology (183 citations), Molecular Biology (2.5k citations) and Physiology (878 citations). Ji Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lawrence H. Young, Raymond R. Russell, Marc Pypaert, Alex Morrison, Christoph Zechner, Morris J. Birnbaum, David Coven, James Mu, Frank J. Giordano and Courtney Cates. Their work appears in journals such as Circulation, American Journal of Physiology-Endocrinology and Metabolism, Life Sciences, Biochemical and Biophysical Research Communications and Journal of Molecular and Cellular Cardiology.
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.