Ming H. Lu
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
-
- Thyroid Disorders and Treatments
- Diet, Metabolism, and Disease
Papers in
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
-
- Thyroid Disorders and Treatments 3
- Co-authors
- Ronald Wilson Hart (6 shared papers)Ling Gao (4 shared papers)Jiajun Zhao (3 shared papers)Bruce S. Hass (1 shared paper)Beverly D. Lyn‐Cook (1 shared paper)Bao‐Liang Song (4 shared papers)Catherine C.Y. Chang (4 shared papers)Chongbo Yang (3 shared papers)
- Journals
- Mechanisms of Ageing and Development (4 papers)Acta Biochimica et Biophysica Sinica (2 papers)Aging (1 paper)Diabetes (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ming H. Lu
34 papers receiving 890 citations
Peers
Comparison fields: 5 of 89
- Aging 63
- Endocrinology, Diabetes and Metabolism 204
- Cancer Research 175
- Biochemistry 55
- Physiology 166
Countries citing papers authored by Ming H. Lu
This map shows the geographic impact of Ming H. 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 H. 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 H. Lu more than expected).
Fields of papers citing papers by Ming H. Lu
This network shows the impact of papers produced by Ming H. 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 H. Lu. The network helps show where Ming H. Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming H. 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 | 128 | |
| 2 | 2017 | 112 | |
| 3 | 2002 | 80 | |
| 4 | 1993 | 76 | |
| 5 | 1992 | 67 | |
| 6 | 2013 | 63 | |
| 7 | 2014 | 48 | |
| 8 | 2019 | 45 | |
| 9 | 2013 | 36 | |
| 10 | 2018 | 26 | |
| 11 | 2017 | 23 | |
| 12 | 1988 | 22 | |
| 13 | 2008 | 22 | |
| 14 | 1993 | 21 | |
| 15 | 2014 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 1991 | 14 | |
| 18 | 2020 | 12 | |
| 19 | 2022 | 10 | |
| 20 | 1993 | 9 |
About Ming H. Lu
Ming H. Lu is a scholar working on Aging, Endocrinology, Diabetes and Metabolism, Cancer Research, Molecular Biology and Biochemistry, having authored 36 papers that have together received 919 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Cholesterol and Lipid Metabolism (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Antioxidant Activity and Oxidative Stress (3 papers), Pancreatic function and diabetes (3 papers), Adipose Tissue and Metabolism (3 papers) and Thyroid Disorders and Treatments (3 papers). The work is most often cited by research in Aging (63 citations), Endocrinology, Diabetes and Metabolism (204 citations), Cancer Research (175 citations), Biochemistry (55 citations) and Physiology (166 citations). Ming H. Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ronald Wilson Hart, Ling Gao, Jiajun Zhao, Bruce S. Hass, Beverly D. Lyn‐Cook, Bao‐Liang Song, Catherine C.Y. Chang, Chongbo Yang, Ta‐Yuan Chang and Bo-Liang Li. Their work appears in journals such as Mechanisms of Ageing and Development, Acta Biochimica et Biophysica Sinica, Aging, Diabetes 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.