Lu Lu
Impact in
- Nephrology top 5%
Papers in ⓘ
-
- Muscle Physiology and Disorders 7
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- Traditional Chinese Medicine Studies 11
- Acupuncture Treatment Research Studies 8
- Co-authors
- Lianbo Wei (12 shared papers)Lingjun Wang (29 shared papers)Rong Hu (9 shared papers)Yi Yin (8 shared papers)Shi-Hao Ni (29 shared papers)Mingqing Wang (9 shared papers)Ming Wang (9 shared papers)Lian-Bo Wei (6 shared papers)
- Journals
- Phytomedicine (6 papers)International Immunopharmacology (5 papers)Frontiers in Pharmacology (5 papers)Journal of Ethnopharmacology (4 papers)European Journal of Pharmacology (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lu Lu
145 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 165
- Complementary and alternative medicine 193
- Nephrology 148
- Molecular Biology 1.3k
- Biochemistry 101
- Geriatrics and Gerontology 66
Countries citing papers authored by Lu Lu
This map shows the geographic impact of Lu 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 Lu Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Lu more than expected).
Fields of papers citing papers by Lu Lu
This network shows the impact of papers produced by Lu 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 Lu Lu. The network helps show where Lu Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu 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 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 161 | |
| 2 | 2017 | 159 | |
| 3 | 2014 | 135 | |
| 4 | 2022 | 104 | |
| 5 | 2019 | 84 | |
| 6 | 2017 | 72 | |
| 7 | 2021 | 71 | |
| 8 | 2017 | 68 | |
| 9 | 2016 | 60 | |
| 10 | 2018 | 55 | |
| 11 | 2016 | 55 | |
| 12 | 2017 | 49 | |
| 13 | 2021 | 49 | |
| 14 | 2017 | 48 | |
| 15 | 2016 | 47 | |
| 16 | 2019 | 44 | |
| 17 | 2020 | 43 | |
| 18 | 2021 | 43 | |
| 19 | 2022 | 39 | |
| 20 | 2018 | 39 |
About Lu Lu
Lu Lu is a scholar working on Molecular Biology, Complementary and alternative medicine, Epidemiology, Cardiology and Cardiovascular Medicine and Physiology, having authored 156 papers that have together received 2.9k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (13 papers), Traditional Chinese Medicine Studies (11 papers), Cardiac Fibrosis and Remodeling (11 papers), Advanced Glycation End Products research (8 papers), Acupuncture Treatment Research Studies (8 papers), Diet and metabolism studies (8 papers), Muscle Physiology and Disorders (7 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Complementary and alternative medicine (193 citations), Nephrology (148 citations), Molecular Biology (1.3k citations), Biochemistry (101 citations) and Geriatrics and Gerontology (66 citations). Lu Lu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lianbo Wei, Lingjun Wang, Rong Hu, Yi Yin, Shi-Hao Ni, Mingqing Wang, Ming Wang, Lian-Bo Wei, Yu‐Sheng Huang and Haiyan You. Their work appears in journals such as Phytomedicine, International Immunopharmacology, Frontiers in Pharmacology, Journal of Ethnopharmacology and European Journal of Pharmacology.
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.