Qing Lan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- RNA Research and Splicing 9
- RNA modifications and cancer 4
-
- Cancer-related molecular mechanisms research 5
- Co-authors
- Stefan Hüttelmaier (1 shared paper)Pei Y. Liu (1 shared paper)Hui Xu (9 shared papers)Xu Dong Zhang (1 shared paper)Tao Liu (1 shared paper)Lirong Zhang (1 shared paper)Jenny Wang (1 shared paper)Jessica L. Bell (1 shared paper)
- Journals
- Oncogene (4 papers)Cell Death and Disease (3 papers)CNS Neuroscience & Therapeutics (3 papers)Journal of Neuro-Oncology (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Qing Lan
58 papers receiving 994 citations
Peers
Comparison fields: 5 of 89
- Cancer Research 221
- Genetics 92
- Neurology 101
- Molecular Biology 479
- Immunology 94
Countries citing papers authored by Qing Lan
This map shows the geographic impact of Qing Lan'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 Qing Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Lan more than expected).
Fields of papers citing papers by Qing Lan
This network shows the impact of papers produced by Qing Lan. 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 Qing Lan. The network helps show where Qing Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Qing Lan, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 179 | |
| 2 | 2014 | 81 | |
| 3 | 2020 | 64 | |
| 4 | 2006 | 56 | |
| 5 | 2018 | 33 | |
| 6 | 2021 | 30 | |
| 7 | 2018 | 29 | |
| 8 | 2017 | 29 | |
| 9 | 2013 | 23 | |
| 10 | 2000 | 23 | |
| 11 | 2021 | 22 | |
| 12 | 2016 | 22 | |
| 13 | 2016 | 22 | |
| 14 | 2017 | 22 | |
| 15 | 2023 | 21 | |
| 16 | 2022 | 21 | |
| 17 | 2013 | 20 | |
| 18 | 2016 | 19 | |
| 19 | 2018 | 18 | |
| 20 | 2016 | 18 |
About Qing Lan
Qing Lan is a scholar working on Molecular Biology, Cancer Research, Genetics, Pathology and Forensic Medicine and Neurology, having authored 65 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), Intracranial Aneurysms: Treatment and Complications (6 papers), interferon and immune responses (5 papers), Cancer-related molecular mechanisms research (5 papers), Glioma Diagnosis and Treatment (5 papers), Spine and Intervertebral Disc Pathology (4 papers), Meningioma and schwannoma management (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cancer Research (221 citations), Genetics (92 citations), Neurology (101 citations), Molecular Biology (479 citations) and Immunology (94 citations). Qing Lan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Stefan Hüttelmaier, Pei Y. Liu, Hui Xu, Xu Dong Zhang, Tao Liu, Lirong Zhang, Jenny Wang, Jessica L. Bell, Ming Li and Yanwen Zheng. Their work appears in journals such as Oncogene, Cell Death and Disease, CNS Neuroscience & Therapeutics, Journal of Neuro-Oncology and Oncotarget.
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.