Jin Li
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Diet, Metabolism, and Disease
Papers in
-
- Single-cell and spatial transcriptomics 7
- Metabolism, Diabetes, and Cancer 4
- RNA modifications and cancer 4
- Surgery 21
- Pancreatic function and diabetes 12
- Co-authors
- Farook Al‐Azzawi (1 shared paper)Johanna Klughammer (1 shared paper)Andreas Spittler (1 shared paper)Charlotte Barbieux (1 shared paper)Ekaterine Berishvili (1 shared paper)Stefan Kubicek (1 shared paper)Christoph Bock (1 shared paper)Thomas Penz (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Viral Hepatitis (2 papers)Nutrients (2 papers)Nature Communications (2 papers)Trends in Endocrinology and Metabolism (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jin Li
100 papers receiving 2.3k citations
Jin Li's Hit Papers
Peers
Comparison fields: 5 of 139
- Cancer Research 211
- Endocrinology, Diabetes and Metabolism 205
- Molecular Biology 868
- Physiology 286
- Endocrine and Autonomic Systems 65
Countries citing papers authored by Jin Li
This map shows the geographic impact of Jin 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 Jin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Li more than expected).
Fields of papers citing papers by Jin Li
This network shows the impact of papers produced by Jin 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 Jin Li. The network helps show where Jin Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dietary sugar consumption and health: umbrella review Hit paper breakdown → | 2023 | 188 |
| 2 | 2015 | 179 | |
| 3 | 2009 | 126 | |
| 4 | 2022 | 103 | |
| 5 | 2010 | 78 | |
| 6 | 2017 | 74 | |
| 7 | 2013 | 63 | |
| 8 | 2014 | 61 | |
| 9 | 2007 | 58 | |
| 10 | 2006 | 57 | |
| 11 | 2012 | 56 | |
| 12 | 2019 | 55 | |
| 13 | 2019 | 51 | |
| 14 | 2023 | 47 | |
| 15 | 2017 | 45 | |
| 16 | 2012 | 42 | |
| 17 | 2018 | 42 | |
| 18 | 2018 | 41 | |
| 19 | 2017 | 39 | |
| 20 | 2020 | 37 |
About Jin Li
Jin Li is a scholar working on Molecular Biology, Surgery, Pharmacology, Physiology and Epidemiology, having authored 110 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Adipose Tissue and Metabolism (11 papers), Single-cell and spatial transcriptomics (7 papers), Liver Disease Diagnosis and Treatment (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Circadian rhythm and melatonin (4 papers), RNA modifications and cancer (4 papers) and Diet, Metabolism, and Disease (4 papers). The work is most often cited by research in Cancer Research (211 citations), Endocrinology, Diabetes and Metabolism (205 citations), Molecular Biology (868 citations), Physiology (286 citations) and Endocrine and Autonomic Systems (65 citations). Jin Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Farook Al‐Azzawi, Johanna Klughammer, Andreas Spittler, Charlotte Barbieux, Ekaterine Berishvili, Stefan Kubicek, Christoph Bock, Thomas Penz, Matthias Farlik and Ping Lü. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Viral Hepatitis, Nutrients, Nature Communications and Trends in Endocrinology and Metabolism.
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.