Xi Li
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Alzheimer's disease research and treatments
- Geriatrics and Gerontology top 5%
Papers in
- Physiology 38
- Adipose Tissue and Metabolism 23
- Alzheimer's disease research and treatments 6
- Epidemiology 37
- Adipokines, Inflammation, and Metabolic Diseases 20
- Liver Disease Diagnosis and Treatment 10
- Co-authors
- Qi-Qun Tang (6 shared papers)Hai-Yan Huang (4 shared papers)Liang Guo (5 shared papers)Shufen Li (5 shared papers)Qunyan Yao (2 shared papers)Shuwen Qian (3 shared papers)Yan Tang (2 shared papers)Xia Sun (2 shared papers)
- Journals
- Genes & Diseases (3 papers)Langmuir (3 papers)Frontiers in Immunology (2 papers)Science Bulletin (2 papers)Nutrients (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Xi Li
77 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 117
- Physiology 611
- Geriatrics and Gerontology 67
- Epidemiology 569
- Cancer Research 177
- Hepatology 92
Countries citing papers authored by Xi Li
This map shows the geographic impact of Xi 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 Xi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi Li more than expected).
Fields of papers citing papers by Xi Li
This network shows the impact of papers produced by Xi 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 Xi Li. The network helps show where Xi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xi 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 263 | |
| 2 | 2015 | 79 | |
| 3 | 2016 | 67 | |
| 4 | 2016 | 62 | |
| 5 | 2020 | 55 | |
| 6 | 2022 | 51 | |
| 7 | 2019 | 42 | |
| 8 | 2021 | 42 | |
| 9 | 2021 | 41 | |
| 10 | 2014 | 40 | |
| 11 | 2018 | 39 | |
| 12 | 2019 | 38 | |
| 13 | 2014 | 37 | |
| 14 | 2015 | 35 | |
| 15 | 2014 | 34 | |
| 16 | 2016 | 34 | |
| 17 | 2024 | 31 | |
| 18 | 2022 | 30 | |
| 19 | 2019 | 30 | |
| 20 | 2008 | 28 |
About Xi Li
Xi Li is a scholar working on Physiology, Epidemiology, Molecular Biology, Immunology and Surgery, having authored 80 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (23 papers), Adipokines, Inflammation, and Metabolic Diseases (20 papers), Liver Disease Diagnosis and Treatment (10 papers), Alzheimer's disease research and treatments (6 papers), Lipid metabolism and biosynthesis (5 papers), Mitochondrial Function and Pathology (4 papers), Inflammasome and immune disorders (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Physiology (611 citations), Geriatrics and Gerontology (67 citations), Epidemiology (569 citations), Cancer Research (177 citations) and Hepatology (92 citations). Xi Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Qi-Qun Tang, Hai-Yan Huang, Liang Guo, Shufen Li, Qunyan Yao, Shuwen Qian, Yan Tang, Xia Sun, Yan Sun and Yan Liu. Their work appears in journals such as Genes & Diseases, Langmuir, Frontiers in Immunology, Science Bulletin and Nutrients.
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.