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
Papers in
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- Hedgehog Signaling Pathway Studies 4
- Epigenetics and DNA Methylation 2
- Genomics, phytochemicals, and oxidative stress 1
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- MicroRNA in disease regulation 2
- Cancer Genomics and Diagnostics 1
- Co-authors
- S. G. Eskin (1 shared paper)William P. Schilling (1 shared paper)Hai‐Meng Zhou (8 shared papers)Biao He (8 shared papers)David M. Jablons (7 shared papers)Qing Sheng (4 shared papers)Etienne Giroux‐Leprieur (4 shared papers)Chen Zhao (1 shared paper)
- Journals
- PLoS ONE (3 papers)Journal of Experimental & Clinical Cancer Research (2 papers)American Journal of Physiology-Heart and Circulatory Physiology (1 paper)Chemical Engineering Journal (1 paper)ACS Applied Materials & Interfaces (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Minli Mo
17 papers receiving 506 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 78
- Molecular Biology 299
- Oncology 84
- Physiology 81
- Cell Biology 54
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 | 1991 | 158 | |
| 2 | 2014 | 88 | |
| 3 | 2013 | 46 | |
| 4 | 2010 | 36 | |
| 5 | 2013 | 30 | |
| 6 | 2013 | 27 | |
| 7 | 2011 | 26 | |
| 8 | 2012 | 18 | |
| 9 | 2016 | 17 | |
| 10 | 2015 | 15 | |
| 11 | 2014 | 13 | |
| 12 | 2013 | 13 | |
| 13 | 2011 | 11 | |
| 14 | 2024 | 10 | |
| 15 | 2024 | 8 | |
| 16 | 2017 | 7 | |
| 17 | 2014 | 3 |
About Minli Mo
Minli Mo is a scholar working on Molecular Biology, Cancer Research, Oncology, Materials Chemistry and Surgery, having authored 17 papers that have together received 526 indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (4 papers), Epigenetics and DNA Methylation (2 papers), Advanced Nanomaterials in Catalysis (2 papers), MicroRNA in disease regulation (2 papers), Cancer Genomics and Diagnostics (1 paper), Advanced Photocatalysis Techniques (1 paper), Adenosine and Purinergic Signaling (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Cancer Research (78 citations), Molecular Biology (299 citations), Oncology (84 citations), Physiology (81 citations) and Cell Biology (54 citations). Minli Mo has collaborated with scholars based in China, United States and Japan. Frequent co-authors include S. G. Eskin, William P. Schilling, Hai‐Meng Zhou, Biao He, David M. Jablons, Qing Sheng, Etienne Giroux‐Leprieur, Chen Zhao, Changli Wang and Jie Li. Their work appears in journals such as PLoS ONE, Journal of Experimental & Clinical Cancer Research, American Journal of Physiology-Heart and Circulatory Physiology, Chemical Engineering Journal and ACS Applied Materials & Interfaces.
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.