Jin‐Ying Lu
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Adipokines, Inflammation, and Metabolic Diseases 4
- Co-authors
- Yu-Yi Lin (7 shared papers)Jef D. Boeke (5 shared papers)Heng Zhu (6 shared papers)Yingming Zhao (3 shared papers)Sheng‐ce Tao (3 shared papers)Jiang Qian (2 shared papers)Shelley L. Berger (2 shared papers)Wei‐Shiung Yang (7 shared papers)
- Journals
- Mutation research. Fundamental and molecular mechanisms of mutagenesis (3 papers)Cell (2 papers)Molecular & Cellular Proteomics (2 papers)Clinica Chimica Acta (2 papers)Nature Communications (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Jin‐Ying Lu
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Aging 65
- Geriatrics and Gerontology 83
- Molecular Biology 604
- Epidemiology 195
- Physiology 129
Countries citing papers authored by Jin‐Ying Lu
This map shows the geographic impact of Jin‐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 Jin‐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 Jin‐Ying Lu more than expected).
Fields of papers citing papers by Jin‐Ying Lu
This network shows the impact of papers produced by Jin‐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 Jin‐Ying Lu. The network helps show where Jin‐Ying Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin‐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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 248 | |
| 2 | 2011 | 123 | |
| 3 | 2008 | 121 | |
| 4 | 2008 | 81 | |
| 5 | 2015 | 74 | |
| 6 | 2007 | 67 | |
| 7 | 2007 | 64 | |
| 8 | 1992 | 51 | |
| 9 | 2012 | 34 | |
| 10 | 2005 | 27 | |
| 11 | 2006 | 20 | |
| 12 | 2006 | 17 | |
| 13 | 2015 | 16 | |
| 14 | 2011 | 16 | |
| 15 | 2007 | 13 | |
| 16 | 2018 | 12 | |
| 17 | 2011 | 11 | |
| 18 | 2017 | 11 | |
| 19 | 2003 | 11 | |
| 20 | 2007 | 11 |
About Jin‐Ying Lu
Jin‐Ying Lu is a scholar working on Molecular Biology, Epidemiology, Physiology, Endocrinology, Diabetes and Metabolism and Geriatrics and Gerontology, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Sirtuins and Resveratrol in Medicine (3 papers), Adipose Tissue and Metabolism (2 papers), Hormonal Regulation and Hypertension (2 papers), Plant Molecular Biology Research (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Aging (65 citations), Geriatrics and Gerontology (83 citations), Molecular Biology (604 citations), Epidemiology (195 citations) and Physiology (129 citations). Jin‐Ying Lu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yu-Yi Lin, Jef D. Boeke, Heng Zhu, Yingming Zhao, Sheng‐ce Tao, Jiang Qian, Shelley L. Berger, Wei‐Shiung Yang, Junmei Zhang and Weiwei Dang. Their work appears in journals such as Mutation research. Fundamental and molecular mechanisms of mutagenesis, Cell, Molecular & Cellular Proteomics, Clinica Chimica Acta and Nature Communications.
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.