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 9
-
- Trace Elements in Health 12
- Co-authors
- Stephen G. Kaler (12 shared papers)Zhidong Zhou (10 shared papers)Eng King Tan (6 shared papers)Tit Meng Lim (1 shared paper)Guanghao Chen (1 shared paper)Rui Fang (1 shared paper)G. Chen (5 shared papers)Li Zhang (3 shared papers)
- Journals
- Food Chemistry (3 papers)Journal of Translational Medicine (3 papers)Frontiers in Nutrition (2 papers)Human Molecular Genetics (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Ling Yi
43 papers receiving 921 citations
Ling Yi's Hit Papers
Peers
Comparison fields: 5 of 96
- Nutrition and Dietetics 212
- Analytical Chemistry 80
- Cancer Research 94
- Neurology 49
- Biological Psychiatry 14
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 46 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 | 139 |
| 2 | 2018 | 109 | |
| 3 | 2011 | 63 | |
| 4 | 2013 | 60 | |
| 5 | 2016 | 58 | |
| 6 | 2013 | 51 | |
| 7 | 2009 | 38 | |
| 8 | 2012 | 36 | |
| 9 | 2015 | 33 | |
| 10 | 2014 | 30 | |
| 11 | 2022 | 29 | |
| 12 | 2002 | 29 | |
| 13 | 2024 | 24 | |
| 14 | 2016 | 23 | |
| 15 | 2018 | 22 | |
| 16 | 2024 | 20 | |
| 17 | 2021 | 19 | |
| 18 | 2022 | 17 | |
| 19 | 2024 | 17 | |
| 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 46 papers that have together received 941 indexed citations. Recurring topics across this work include Trace Elements in Health (12 papers), RNA regulation and disease (9 papers), Analytical Chemistry and Chromatography (5 papers), Analytical chemistry methods development (4 papers), Pesticide Residue Analysis and Safety (3 papers), Neurological disorders and treatments (3 papers), Seaweed-derived Bioactive Compounds (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Nutrition and Dietetics (212 citations), Analytical Chemistry (80 citations), Cancer Research (94 citations), Neurology (49 citations) and Biological Psychiatry (14 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, Tit Meng Lim, Guanghao Chen, Rui Fang, G. Chen, Li Zhang, Xiaoyun Song and Yunsong Li. Their work appears in journals such as Food Chemistry, Journal of Translational Medicine, Frontiers in Nutrition, Human Molecular Genetics and International Journal of Molecular Sciences.
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.