Ying Lu
Impact in
-
- Diet and metabolism studies
- Adipose Tissue and Metabolism
- Ophthalmology top 10%
Papers in
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- Peroxisome Proliferator-Activated Receptors 5
- Genomics and Phylogenetic Studies 4
- Epidemiology 12
- Adipokines, Inflammation, and Metabolic Diseases 6
- Ophthalmology and Visual Impairment Studies 4
- Co-authors
- JI Zhao-ning (1 shared paper)Guoqing Liu (1 shared paper)Hao Hong (1 shared paper)Jianhua Ma (6 shared papers)Jinluo Cheng (6 shared papers)Ling Zhou (6 shared papers)Yanqin Gao (6 shared papers)Xinhua Ye (4 shared papers)
- Journals
- International Journal of Molecular Sciences (5 papers)Animals (5 papers)Diabetes Technology & Therapeutics (2 papers)Frontiers in Genetics (2 papers)Scientific Data (2 papers)
- Partner nations
- ChinaSouth KoreaSweden
In The Last Decade
Ying Lu
46 papers receiving 571 citations
Peers
Comparison fields: 5 of 110
- Physiology 118
- Ophthalmology 37
- Reproductive Medicine 28
- Cancer Research 49
- Epidemiology 99
Countries citing papers authored by Ying Lu
This map shows the geographic impact of Ying Lu'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 Ying Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Lu more than expected).
Fields of papers citing papers by Ying Lu
This network shows the impact of papers produced by Ying Lu. 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 Ying Lu. The network helps show where Ying Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Lu, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 88 | |
| 2 | 2006 | 60 | |
| 3 | 2011 | 34 | |
| 4 | 2015 | 30 | |
| 5 | 2017 | 24 | |
| 6 | 2017 | 23 | |
| 7 | 2011 | 22 | |
| 8 | 2016 | 19 | |
| 9 | 2022 | 18 | |
| 10 | 2021 | 17 | |
| 11 | 2019 | 17 | |
| 12 | 2012 | 16 | |
| 13 | 2021 | 15 | |
| 14 | 2023 | 14 | |
| 15 | 2015 | 13 | |
| 16 | 2011 | 13 | |
| 17 | Diosgenin glucoside protects against myocardial injury in diabetic mice by inhibiting RIP140 signaling. | 2018 | 12 |
| 18 | 2006 | 11 | |
| 19 | 2012 | 10 | |
| 20 | 2012 | 9 |
About Ying Lu
Ying Lu is a scholar working on Molecular Biology, Epidemiology, Physiology, Public Health, Environmental and Occupational Health and Genetics, having authored 52 papers that have together received 579 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Adipose Tissue and Metabolism (5 papers), Sperm and Testicular Function (5 papers), Genomics and Phylogenetic Studies (4 papers) and Ophthalmology and Visual Impairment Studies (4 papers). The work is most often cited by research in Physiology (118 citations), Ophthalmology (37 citations), Reproductive Medicine (28 citations), Cancer Research (49 citations) and Epidemiology (99 citations). Ying Lu has collaborated with scholars based in China, South Korea and Sweden. Frequent co-authors include JI Zhao-ning, Guoqing Liu, Hao Hong, Jianhua Ma, Jinluo Cheng, Ling Zhou, Yanqin Gao, Xinhua Ye, Hui Shi and Yonghong Yong. Their work appears in journals such as International Journal of Molecular Sciences, Animals, Diabetes Technology & Therapeutics, Frontiers in Genetics and Scientific Data.
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.