Lan Luan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Cancer Immunotherapy and Biomarkers
- Peptidase Inhibition and Analysis
- Pancreatic and Hepatic Oncology Research
Papers in
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- Circular RNAs in diseases 5
- RNA modifications and cancer 4
- Cancer-related gene regulation 4
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- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 5
- Co-authors
- Qingfeng Zhu (2 shared papers)Faiz Gani (2 shared papers)Xiandong Zeng (2 shared papers)Robert A. Anders (2 shared papers)Wei Zhao (2 shared papers)Neeraja Nagarajan (1 shared paper)Yuhree Kim (1 shared paper)Timothy M. Pawlik (1 shared paper)
- Journals
- Molecular Carcinogenesis (2 papers)OncoTargets and Therapy (2 papers)Tumor Biology (2 papers)Value in Health (2 papers)Neurochemical Research (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Lan Luan
32 papers receiving 582 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 258
- Oncology 206
- Molecular Biology 320
- Surgery 132
- Pathology and Forensic Medicine 45
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 118 | |
| 2 | 2018 | 90 | |
| 3 | 2018 | 41 | |
| 4 | 2017 | 40 | |
| 5 | 2015 | 40 | |
| 6 | 2013 | 32 | |
| 7 | 2016 | 32 | |
| 8 | 2020 | 27 | |
| 9 | 2014 | 24 | |
| 10 | 2021 | 24 | |
| 11 | 2014 | 15 | |
| 12 | 2014 | 13 | |
| 13 | 2021 | 12 | |
| 14 | 2013 | 12 | |
| 15 | 2019 | 10 | |
| 16 | 2014 | 10 | |
| 17 | 2019 | 8 | |
| 18 | 2020 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2018 | 6 |
About Lan Luan
Lan Luan is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 590 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (5 papers), RNA modifications and cancer (4 papers), Cancer-related gene regulation (4 papers), Lung Cancer Treatments and Mutations (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Economic and Financial Impacts of Cancer (2 papers). The work is most often cited by research in Cancer Research (258 citations), Oncology (206 citations), Molecular Biology (320 citations), Surgery (132 citations) and Pathology and Forensic Medicine (45 citations). Lan Luan has collaborated with scholars based in China and United States. Frequent co-authors include Qingfeng Zhu, Faiz Gani, Xiandong Zeng, Robert A. Anders, Wei Zhao, Neeraja Nagarajan, Yuhree Kim, Timothy M. Pawlik, Xiupeng Zhang and Enhua Wang. Their work appears in journals such as Molecular Carcinogenesis, OncoTargets and Therapy, Tumor Biology, Value in Health and Neurochemical Research.
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.