Ling Yi
Impact in
- Nutrition and Dietetics top 5%
- Trace Elements in Health
- Analytical Chemistry top 5%
- Analytical chemistry methods development
Papers in
-
- RNA regulation and disease 10
-
- Trace Elements in Health 12
- Co-authors
- Stephen G. Kaler (12 shared papers)Zhidong Zhou (10 shared papers)Eng King Tan (6 shared papers)Qing Wang (2 shared papers)Tit Meng Lim (1 shared paper)Rui Fang (1 shared paper)Guanghao Chen (1 shared paper)G. Chen (5 shared papers)
- Journals
- Food Chemistry (3 papers)Human Molecular Genetics (2 papers)Frontiers in Nutrition (2 papers)Journal of Translational Medicine (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Ling Yi
42 papers receiving 812 citations
Ling Yi's Hit Papers
Peers
Comparison fields: 5 of 97
- Nutrition and Dietetics 187
- Analytical Chemistry 79
- Cancer Research 120
- Biological Psychiatry 14
- Neurology 46
Countries citing papers authored by Ling Yi
This map shows the geographic impact of Ling Yi'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 Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Yi more than expected).
Fields of papers citing papers by Ling Yi
This network shows the impact of papers produced by Ling Yi. 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 Yi. The network helps show where Ling Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Yi, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Role of dopamine in the pathophysiology of Parkinson’s disease Hit paper breakdown → | 2023 | 111 |
| 2 | 2018 | 108 | |
| 3 | 2013 | 57 | |
| 4 | 2016 | 53 | |
| 5 | 2011 | 53 | |
| 6 | 2013 | 47 | |
| 7 | 2009 | 36 | |
| 8 | 2015 | 30 | |
| 9 | 2012 | 29 | |
| 10 | 2002 | 28 | |
| 11 | 2022 | 26 | |
| 12 | 2014 | 25 | |
| 13 | 2024 | 20 | |
| 14 | 2018 | 19 | |
| 15 | 2016 | 19 | |
| 16 | 2021 | 18 | |
| 17 | 2022 | 17 | |
| 18 | 2024 | 16 | |
| 19 | 2024 | 14 | |
| 20 | 2012 | 12 |
About Ling Yi
Ling Yi is a scholar working on Molecular Biology, Nutrition and Dietetics, Cellular and Molecular Neuroscience, Spectroscopy and Pharmacology, having authored 44 papers that have together received 828 indexed citations. Recurring topics across this work include Trace Elements in Health (12 papers), RNA regulation and disease (10 papers), Analytical Chemistry and Chromatography (5 papers), Analytical chemistry methods development (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neurological disorders and treatments (3 papers), Pesticide Residue Analysis and Safety (3 papers) and Seaweed-derived Bioactive Compounds (3 papers). The work is most often cited by research in Nutrition and Dietetics (187 citations), Analytical Chemistry (79 citations), Cancer Research (120 citations), Biological Psychiatry (14 citations) and Neurology (46 citations). Ling Yi has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Stephen G. Kaler, Zhidong Zhou, Eng King Tan, Qing Wang, Tit Meng Lim, Rui Fang, Guanghao Chen, G. Chen, Li Zhang and Shijie Zhou. Their work appears in journals such as Food Chemistry, Human Molecular Genetics, Frontiers in Nutrition, Journal of Translational Medicine and Journal of Biological Chemistry.
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.