Lan Lu
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Bacterial biofilms and quorum sensing 8
- Angiogenesis and VEGF in Cancer 5
- Cell death mechanisms and regulation 3
- PI3K/AKT/mTOR signaling in cancer 2
- RNA Interference and Gene Delivery 2
-
- Cancer-related molecular mechanisms research 2
- Co-authors
- Mingxing Li (17 shared papers)Wei Hu (7 shared papers)Chi Hin Cho (7 shared papers)Jie Zhu (2 shared papers)Jing Shen (14 shared papers)Lin Zhang (8 shared papers)Jing Tang (1 shared paper)Zhijie Li (1 shared paper)
- Journals
- Journal of Pharmaceutical Analysis (3 papers)The FASEB Journal (2 papers)Phytomedicine (2 papers)Biomedicine & Pharmacotherapy (2 papers)Chinese Medicine (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Lan Lu
31 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 92
- Microbiology 113
- Cancer Research 153
- Molecular Biology 566
- Oncology 147
- Food Science 116
Countries citing papers authored by Lan Lu
This map shows the geographic impact of 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 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 Lan Lu more than expected).
Fields of papers citing papers by Lan Lu
This network shows the impact of papers produced by 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 Lan Lu. The network helps show where Lan Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 325 | |
| 2 | 2013 | 143 | |
| 3 | 2013 | 131 | |
| 4 | 2014 | 111 | |
| 5 | 2018 | 109 | |
| 6 | 2015 | 79 | |
| 7 | 2021 | 77 | |
| 8 | 2019 | 67 | |
| 9 | 2023 | 66 | |
| 10 | 2015 | 64 | |
| 11 | 2021 | 64 | |
| 12 | 2016 | 50 | |
| 13 | 2018 | 46 | |
| 14 | 2020 | 37 | |
| 15 | 2017 | 34 | |
| 16 | 2023 | 34 | |
| 17 | 2015 | 32 | |
| 18 | 2020 | 28 | |
| 19 | 2021 | 28 | |
| 20 | 2017 | 23 |
About Lan Lu
Lan Lu is a scholar working on Molecular Biology, Cancer Research, Complementary and alternative medicine, Microbiology and Biotechnology, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (8 papers), Angiogenesis and VEGF in Cancer (5 papers), Autophagy in Disease and Therapy (3 papers), Cell death mechanisms and regulation (3 papers), Antimicrobial Peptides and Activities (2 papers), Cancer-related molecular mechanisms research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Microbiology (113 citations), Cancer Research (153 citations), Molecular Biology (566 citations), Oncology (147 citations) and Food Science (116 citations). Lan Lu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Mingxing Li, Wei Hu, Chi Hin Cho, Jie Zhu, Jing Shen, Lin Zhang, Jing Tang, Zhijie Li, Yangyang Zhou and Zeru Tian. Their work appears in journals such as Journal of Pharmaceutical Analysis, The FASEB Journal, Phytomedicine, Biomedicine & Pharmacotherapy and Chinese Medicine.
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.