Lan Luan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Cancer Immunotherapy and Biomarkers
- Peptidase Inhibition and Analysis
Papers in
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- Circular RNAs in diseases 4
- Cancer-related gene regulation 3
- RNA modifications and cancer 3
- Wnt/β-catenin signaling in development and cancer 2
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- Cancer-related molecular mechanisms research 5
- Co-authors
- Qingfeng Zhu (2 shared papers)Faiz Gani (2 shared papers)Robert A. Anders (2 shared papers)Xiandong Zeng (2 shared papers)Wei Zhao (2 shared papers)Timothy M. Pawlik (1 shared paper)Yuhree Kim (1 shared paper)Neeraja Nagarajan (1 shared paper)
- Journals
- OncoTargets and Therapy (2 papers)Molecular Carcinogenesis (2 papers)Value in Health (2 papers)Tumor Biology (2 papers)Indian Journal of Pharmaceutical Sciences (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Lan Luan
32 papers receiving 602 citations
Peers
Comparison fields: 5 of 61
- Cancer Research 215
- Oncology 164
- Molecular Biology 275
- Surgery 132
- Pathology and Forensic Medicine 38
Countries citing papers authored by Lan Luan
This map shows the geographic impact of Lan Luan'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 Luan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Luan more than expected).
Fields of papers citing papers by Lan Luan
This network shows the impact of papers produced by Lan Luan. 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 Luan. The network helps show where Lan Luan may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Luan, 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 | 2016 | 119 | |
| 2 | 2018 | 90 | |
| 3 | 2018 | 51 | |
| 4 | 2015 | 42 | |
| 5 | 2017 | 40 | |
| 6 | 2016 | 33 | |
| 7 | 2013 | 32 | |
| 8 | 2020 | 27 | |
| 9 | 2021 | 26 | |
| 10 | 2014 | 24 | |
| 11 | 2021 | 16 | |
| 12 | 2014 | 15 | |
| 13 | 2014 | 13 | |
| 14 | 2014 | 12 | |
| 15 | 2013 | 12 | |
| 16 | 2019 | 10 | |
| 17 | 2019 | 8 | |
| 18 | 2021 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2018 | 6 |
About Lan Luan
Lan Luan is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Oncology and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 613 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (4 papers), Lung Cancer Treatments and Mutations (4 papers), Cancer-related gene regulation (3 papers), Autophagy in Disease and Therapy (3 papers), RNA modifications and cancer (3 papers), Ophthalmology and Visual Impairment Studies (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Cancer Research (215 citations), Oncology (164 citations), Molecular Biology (275 citations), Surgery (132 citations) and Pathology and Forensic Medicine (38 citations). Lan Luan has collaborated with scholars based in China and United States. Frequent co-authors include Qingfeng Zhu, Faiz Gani, Robert A. Anders, Xiandong Zeng, Wei Zhao, Timothy M. Pawlik, Yuhree Kim, Neeraja Nagarajan, Chuifeng Fan and Enhua Wang. Their work appears in journals such as OncoTargets and Therapy, Molecular Carcinogenesis, Value in Health, Tumor Biology and Indian Journal of Pharmaceutical Sciences.
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.