Ling Li
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research 32
- MicroRNA in disease regulation 24
- Molecular Biology top 0.5%
- Metabolism, Diabetes, and Cancer 44
- Advanced biosensing and bioanalysis techniques 26
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- Regulation of Appetite and Obesity 25
- Physiology top 1%
- Adipose Tissue and Metabolism 50
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- Adipokines, Inflammation, and Metabolic Diseases 49
- Liver Disease Diagnosis and Treatment 27
- Co-authors
- Gangyi YangMengliu YangHua LiuGuenther BodenBruce A. EdgarGeneviève RenierLeslie SaucedoXinsheng Gao
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ling Li
516 papers receiving 14.3k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Cancer Research 2.3k
- Molecular Biology 7.0k
- Endocrine and Autonomic Systems 567
- Endocrinology, Diabetes and Metabolism 1.3k
- Physiology 2.0k
Countries citing papers authored by Ling Li
This map shows the geographic impact of Ling 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 Ling Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Li more than expected).
Fields of papers citing papers by Ling Li
This network shows the impact of papers produced by Ling 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 Ling Li. The network helps show where Ling Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ling 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 13 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 16 | |
| 14 | 2022 | 34 | |
| 15 | 2021 | 11 | |
| 16 | 2020 | 15 | |
| 17 | 2018 | 26 | |
| 18 | 2018 | 72 | |
| 19 | 2013 | 57 | |
| 20 | 2008 | 54 |
About Ling Li
Ling Li is a scholar working on Cancer Research, Endocrine and Autonomic Systems, Molecular Biology, Endocrinology, Diabetes and Metabolism and Rheumatology, having authored 540 papers that have together received 14.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (50 papers), Adipokines, Inflammation, and Metabolic Diseases (49 papers), Metabolism, Diabetes, and Cancer (44 papers), Cancer-related molecular mechanisms research (32 papers), Liver Disease Diagnosis and Treatment (27 papers), Advanced biosensing and bioanalysis techniques (26 papers), Regulation of Appetite and Obesity (25 papers) and MicroRNA in disease regulation (24 papers). The work is most often cited by research in Cancer Research (2.3k citations), Molecular Biology (7.0k citations), Endocrine and Autonomic Systems (567 citations), Endocrinology, Diabetes and Metabolism (1.3k citations) and Physiology (2.0k citations). Ling Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Gangyi Yang, Mengliu Yang, Hua Liu, Guenther Boden, Bruce A. Edgar, Geneviève Renier, Leslie Saucedo, Xinsheng Gao, Harald Vaessin and Jingqiu Cheng. Their work appears in journals such as Scientific Reports, Oncotarget, Frontiers in Endocrinology, Diabetes and PLoS ONE.
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.