Ming Lu
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
Papers in
-
- Peroxisome Proliferator-Activated Receptors 5
- Metabolism, Diabetes, and Cancer 3
- Surgery 7
- Cholesterol and Lipid Metabolism 3
- Co-authors
- Ronald W. Hart (6 shared papers)Ling Gao (4 shared papers)Jiajun Zhao (3 shared papers)Bruce S. Hass (1 shared paper)Beverly Lyn‐Cook (1 shared paper)Bo-Liang Li (4 shared papers)Ta‐Yuan Chang (4 shared papers)Catherine C.Y. Chang (4 shared papers)
- Journals
- Mechanisms of Ageing and Development (4 papers)Acta Biochimica et Biophysica Sinica (2 papers)Journal of Lipid Research (1 paper)BioFactors (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ming Lu
35 papers receiving 853 citations
Peers
Comparison fields: 5 of 92
- Aging 59
- Cancer Research 172
- Endocrinology, Diabetes and Metabolism 188
- Biochemistry 52
- Physiology 154
Countries citing papers authored by Ming Lu
This map shows the geographic impact of Ming 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 Ming Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Lu more than expected).
Fields of papers citing papers by Ming Lu
This network shows the impact of papers produced by Ming 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 Ming Lu. The network helps show where Ming Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 118 | |
| 2 | 2017 | 110 | |
| 3 | 2002 | 76 | |
| 4 | 1993 | 70 | |
| 5 | 2013 | 61 | |
| 6 | 1992 | 57 | |
| 7 | 2014 | 46 | |
| 8 | 2019 | 41 | |
| 9 | 2013 | 35 | |
| 10 | 2018 | 24 | |
| 11 | 2008 | 22 | |
| 12 | 2017 | 21 | |
| 13 | 1993 | 20 | |
| 14 | 1988 | 20 | |
| 15 | 2014 | 17 | |
| 16 | 2021 | 14 | |
| 17 | 1991 | 14 | |
| 18 | 2020 | 11 | |
| 19 | 2022 | 10 | |
| 20 | [Pharmacokinetic analysis of enterohepatic circulation of piroxicam in rabbits]. | 1992 | 9 |
About Ming Lu
Ming Lu is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Cancer Research and Physiology, having authored 36 papers that have together received 871 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Cancer, Lipids, and Metabolism (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Cholesterol and Lipid Metabolism (3 papers), Thyroid Disorders and Treatments (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Aging (59 citations), Cancer Research (172 citations), Endocrinology, Diabetes and Metabolism (188 citations), Biochemistry (52 citations) and Physiology (154 citations). Ming Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ronald W. Hart, Ling Gao, Jiajun Zhao, Bruce S. Hass, Beverly Lyn‐Cook, Bo-Liang Li, Ta‐Yuan Chang, Catherine C.Y. Chang, Bao‐Liang Song and Chongbo Yang. Their work appears in journals such as Mechanisms of Ageing and Development, Acta Biochimica et Biophysica Sinica, Journal of Lipid Research, BioFactors and Nature Cell Biology.
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.