Jun Lan Lu
Impact in
- Biochemistry top 1%
- Phytochemicals and Antioxidant Activities
- Biological Psychiatry top 5%
Papers in
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- Antioxidants, Aging, Portulaca oleracea 17
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- Medicinal Plants and Bioactive Compounds 13
- Genomics, phytochemicals, and oxidative stress 6
- Co-authors
- Yuan‐Lin Zheng (69 shared papers)Qun Shan (38 shared papers)Shao‐Hua Fan (42 shared papers)Dongmei Wu (28 shared papers)Bin Hu (24 shared papers)Zi-Feng Zhang (8 shared papers)Zi-Feng Zhang (15 shared papers)Yong‐Jian Wang (19 shared papers)
- Journals
- Journal of Cellular Biochemistry (7 papers)Clinica Chimica Acta (6 papers)Food and Chemical Toxicology (3 papers)Oncotarget (3 papers)Neurobiology of Learning and Memory (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Lan Lu
131 papers receiving 5.6k citations
Peers
Comparison fields: 5 of 137
- Biochemistry 337
- Biological Psychiatry 129
- Cancer Research 694
- Cellular and Molecular Neuroscience 897
- Neurology 351
Countries citing papers authored by Jun Lan Lu
This map shows the geographic impact of Jun Lan 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 Jun Lan Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Lan Lu more than expected).
Fields of papers citing papers by Jun Lan Lu
This network shows the impact of papers produced by Jun Lan 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 Jun Lan Lu. The network helps show where Jun Lan Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Lan 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 133 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 259 | |
| 2 | 2011 | 213 | |
| 3 | 2006 | 178 | |
| 4 | 2010 | 171 | |
| 5 | 2008 | 164 | |
| 6 | 2010 | 161 | |
| 7 | 2010 | 148 | |
| 8 | 2008 | 147 | |
| 9 | 2008 | 146 | |
| 10 | 2008 | 128 | |
| 11 | 2009 | 128 | |
| 12 | 2014 | 128 | |
| 13 | 2011 | 126 | |
| 14 | 2018 | 122 | |
| 15 | 2011 | 120 | |
| 16 | 2018 | 120 | |
| 17 | 2017 | 110 | |
| 18 | 2009 | 93 | |
| 19 | 2012 | 90 | |
| 20 | 2009 | 88 |
About Jun Lan Lu
Jun Lan Lu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cancer Research, Neurology and Physiology, having authored 133 papers that have together received 5.7k indexed citations. Recurring topics across this work include Antioxidants, Aging, Portulaca oleracea (17 papers), Medicinal Plants and Bioactive Compounds (13 papers), Biochemical effects in animals (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Liver Disease Diagnosis and Treatment (8 papers), MicroRNA in disease regulation (7 papers), Genomics, phytochemicals, and oxidative stress (6 papers) and Autophagy in Disease and Therapy (5 papers). The work is most often cited by research in Biochemistry (337 citations), Biological Psychiatry (129 citations), Cancer Research (694 citations), Cellular and Molecular Neuroscience (897 citations) and Neurology (351 citations). Jun Lan Lu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yuan‐Lin Zheng, Qun Shan, Shao‐Hua Fan, Dongmei Wu, Bin Hu, Zi-Feng Zhang, Zi-Feng Zhang, Yong‐Jian Wang, Dong‐Mei Wu and Wei Cheng. Their work appears in journals such as Journal of Cellular Biochemistry, Clinica Chimica Acta, Food and Chemical Toxicology, Oncotarget and Neurobiology of Learning and Memory.
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.