Lisha Qi
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Cancer Cells and Metastasis
Papers in
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- RNA modifications and cancer 10
- Wnt/β-catenin signaling in development and cancer 6
- Epigenetics and DNA Methylation 6
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- Cancer-related molecular mechanisms research 8
- Cancer Genomics and Diagnostics 6
- Co-authors
- Zhiyong Liu (10 shared papers)Hua Guo (18 shared papers)Xiulan Zhao (5 shared papers)Baocun Sun (9 shared papers)Yuchao He (11 shared papers)Baocun Sun (4 shared papers)Wenfeng Cao (13 shared papers)Wangzhao Song (7 shared papers)
- Journals
- Cell Death and Disease (6 papers)Cancer Biology and Medicine (4 papers)Oncotarget (3 papers)BMC Cancer (3 papers)Frontiers in Oncology (3 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Lisha Qi
69 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 112
- Cancer Research 893
- Oncology 585
- Molecular Biology 1.4k
- Hepatology 154
- Pulmonary and Respiratory Medicine 415
Countries citing papers authored by Lisha Qi
This map shows the geographic impact of Lisha Qi'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 Lisha Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisha Qi more than expected).
Fields of papers citing papers by Lisha Qi
This network shows the impact of papers produced by Lisha Qi. 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 Lisha Qi. The network helps show where Lisha Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisha Qi, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 192 | |
| 2 | 2016 | 165 | |
| 3 | 2016 | 126 | |
| 4 | 2019 | 116 | |
| 5 | 2014 | 99 | |
| 6 | 2011 | 89 | |
| 7 | 2015 | 89 | |
| 8 | 2018 | 79 | |
| 9 | 2017 | 72 | |
| 10 | 2014 | 70 | |
| 11 | 2012 | 66 | |
| 12 | 2008 | 63 | |
| 13 | 2022 | 62 | |
| 14 | 2012 | 60 | |
| 15 | 2015 | 59 | |
| 16 | 2017 | 55 | |
| 17 | 2021 | 52 | |
| 18 | 2021 | 45 | |
| 19 | 2016 | 42 | |
| 20 | 2014 | 41 |
About Lisha Qi
Lisha Qi is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 71 papers that have together received 2.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), RNA modifications and cancer (10 papers), Cancer-related molecular mechanisms research (8 papers), Ovarian cancer diagnosis and treatment (7 papers), Wnt/β-catenin signaling in development and cancer (6 papers), Cancer Cells and Metastasis (6 papers), Cancer Genomics and Diagnostics (6 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Cancer Research (893 citations), Oncology (585 citations), Molecular Biology (1.4k citations), Hepatology (154 citations) and Pulmonary and Respiratory Medicine (415 citations). Lisha Qi has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Zhiyong Liu, Hua Guo, Xiulan Zhao, Baocun Sun, Yuchao He, Baocun Sun, Wenfeng Cao, Wangzhao Song, Ning Zhang and Wenjuan Ma. Their work appears in journals such as Cell Death and Disease, Cancer Biology and Medicine, Oncotarget, BMC Cancer and Frontiers in Oncology.
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.