Xiaolan Lu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
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- Extracellular vesicles in disease
- Gut microbiota and health
- Circular RNAs in diseases
Papers in
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- Circular RNAs in diseases 4
- PI3K/AKT/mTOR signaling in cancer 3
- Metabolism, Diabetes, and Cancer 2
- Extracellular vesicles in disease 2
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- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 3
- Co-authors
- Xiaokang Wu (2 shared papers)Xue Li (2 shared papers)Chen‐Yu Zhang (5 shared papers)Cheng Wang (5 shared papers)Meng Ding (5 shared papers)Ning Gao (1 shared paper)Jiali Liu (1 shared paper)Ming Li (1 shared paper)
- Journals
- Biochemical Journal (3 papers)Cellular Physiology and Biochemistry (2 papers)Frontiers in Genetics (1 paper)Oncogene (1 paper)Translational Pediatrics (1 paper)
- Partner nations
- ChinaUnited StatesIndonesia
In The Last Decade
Xiaolan Lu
27 papers receiving 954 citations
Peers
Comparison fields: 5 of 103
- Cancer Research 195
- Molecular Biology 535
- Biomaterials 63
- Epidemiology 129
- Biological Psychiatry 9
Countries citing papers authored by Xiaolan Lu
This map shows the geographic impact of Xiaolan 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 Xiaolan Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolan Lu more than expected).
Fields of papers citing papers by Xiaolan Lu
This network shows the impact of papers produced by Xiaolan 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 Xiaolan Lu. The network helps show where Xiaolan Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolan 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 244 | |
| 2 | 2018 | 138 | |
| 3 | 2017 | 70 | |
| 4 | 2018 | 57 | |
| 5 | 2018 | 51 | |
| 6 | 2020 | 50 | |
| 7 | 2019 | 48 | |
| 8 | 2016 | 48 | |
| 9 | 2003 | 38 | |
| 10 | 2018 | 33 | |
| 11 | 2019 | 26 | |
| 12 | 2013 | 24 | |
| 13 | 2001 | 23 | |
| 14 | 2021 | 22 | |
| 15 | 2019 | 17 | |
| 16 | 2017 | 16 | |
| 17 | 1998 | 12 | |
| 18 | 2001 | 11 | |
| 19 | 2013 | 8 | |
| 20 | 2019 | 7 |
About Xiaolan Lu
Xiaolan Lu is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Automotive Engineering and Cell Biology, having authored 27 papers that have together received 961 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Advanced Battery Technologies Research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Cancer Research (195 citations), Molecular Biology (535 citations), Biomaterials (63 citations), Epidemiology (129 citations) and Biological Psychiatry (9 citations). Xiaolan Lu has collaborated with scholars based in China, United States and Indonesia. Frequent co-authors include Xiaokang Wu, Xue Li, Chen‐Yu Zhang, Cheng Wang, Meng Ding, Ning Gao, Jiali Liu, Ming Li, Juntao He and Cuiping Zhang. Their work appears in journals such as Biochemical Journal, Cellular Physiology and Biochemistry, Frontiers in Genetics, Oncogene and Translational Pediatrics.
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.