Minli Mo
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Hedgehog Signaling Pathway Studies
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Wnt/β-catenin signaling in development and cancer
- RNA modifications and cancer
Papers in
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- Epigenetics and DNA Methylation 5
- Hedgehog Signaling Pathway Studies 4
- RNA modifications and cancer 4
- Cancer-related gene regulation 4
- Wnt/β-catenin signaling in development and cancer 2
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- MicroRNA in disease regulation 2
- Cancer Genomics and Diagnostics 2
- Co-authors
- Hai‐Meng Zhou (8 shared papers)Biao He (8 shared papers)Qing Sheng (4 shared papers)David M. Jablons (7 shared papers)Chen Zhao (1 shared paper)Etienne Giroux‐Leprieur (4 shared papers)Joy Q. Jin (4 shared papers)Jie Li (4 shared papers)
- Journals
- PLoS ONE (3 papers)Journal of Experimental & Clinical Cancer Research (2 papers)Archives of Pathology & Laboratory Medicine (1 paper)Lung Cancer (1 paper)Oncotarget (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Minli Mo
14 papers receiving 337 citations
Peers
Comparison fields: 5 of 50
- Cancer Research 84
- Molecular Biology 277
- Oncology 89
- Cell Biology 31
- Pulmonary and Respiratory Medicine 52
Countries citing papers authored by Minli Mo
This map shows the geographic impact of Minli Mo'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 Minli Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minli Mo more than expected).
Fields of papers citing papers by Minli Mo
This network shows the impact of papers produced by Minli Mo. 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 Minli Mo. The network helps show where Minli Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Minli Mo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 83 | |
| 2 | 2013 | 46 | |
| 3 | 2010 | 36 | |
| 4 | 2013 | 29 | |
| 5 | 2013 | 27 | |
| 6 | 2011 | 26 | |
| 7 | 2012 | 18 | |
| 8 | 2016 | 17 | |
| 9 | 2015 | 15 | |
| 10 | 2013 | 12 | |
| 11 | 2014 | 12 | |
| 12 | 2011 | 11 | |
| 13 | 2017 | 7 | |
| 14 | 2014 | 1 |
About Minli Mo
Minli Mo is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 14 papers that have together received 340 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Hedgehog Signaling Pathway Studies (4 papers), RNA modifications and cancer (4 papers), Cancer-related gene regulation (4 papers), MicroRNA in disease regulation (2 papers), Cancer Genomics and Diagnostics (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Cancer Research (84 citations), Molecular Biology (277 citations), Oncology (89 citations), Cell Biology (31 citations) and Pulmonary and Respiratory Medicine (52 citations). Minli Mo has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hai‐Meng Zhou, Biao He, Qing Sheng, David M. Jablons, Chen Zhao, Etienne Giroux‐Leprieur, Joy Q. Jin, Jie Li, Changli Wang and Dongsheng Yue. Their work appears in journals such as PLoS ONE, Journal of Experimental & Clinical Cancer Research, Archives of Pathology & Laboratory Medicine, Lung Cancer 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.