Pingli Mo
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Epigenetics and DNA Methylation
- Histone Deacetylase Inhibitors Research
- Circular RNAs in diseases
- Cancer-related gene regulation
- RNA modifications and cancer
Papers in
-
- Epigenetics and DNA Methylation 9
- Histone Deacetylase Inhibitors Research 4
- Oncology 10
- Cancer-related Molecular Pathways 4
- Cancer Cells and Metastasis 3
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Chundong Yu (26 shared papers)Ming Li (11 shared papers)Kesong Peng (9 shared papers)Wengang Li (10 shared papers)Qiang Chen (11 shared papers)Chunhong Yan (2 shared papers)Hongbo Wang (2 shared papers)Yongquan Shi (1 shared paper)
- Journals
- Oncogene (7 papers)Journal of Biological Chemistry (5 papers)Cell & Bioscience (4 papers)Frontiers in Pharmacology (2 papers)Journal of Ethnopharmacology (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Pingli Mo
35 papers receiving 905 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 274
- Molecular Biology 611
- Oncology 188
- Immunology 88
- Pathology and Forensic Medicine 51
Countries citing papers authored by Pingli Mo
This map shows the geographic impact of Pingli 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 Pingli Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingli Mo more than expected).
Fields of papers citing papers by Pingli Mo
This network shows the impact of papers produced by Pingli 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 Pingli Mo. The network helps show where Pingli Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingli 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
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 205 | |
| 2 | 2018 | 86 | |
| 3 | 2018 | 52 | |
| 4 | 2010 | 50 | |
| 5 | 2010 | 47 | |
| 6 | 2016 | 44 | |
| 7 | 2020 | 35 | |
| 8 | 2020 | 32 | |
| 9 | 2015 | 30 | |
| 10 | 2020 | 29 | |
| 11 | 2014 | 28 | |
| 12 | 2020 | 26 | |
| 13 | 2006 | 24 | |
| 14 | 2022 | 23 | |
| 15 | 2022 | 22 | |
| 16 | 2021 | 20 | |
| 17 | 2022 | 19 | |
| 18 | 2012 | 18 | |
| 19 | 2018 | 14 | |
| 20 | 2017 | 13 |
About Pingli Mo
Pingli Mo is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Cancer Research, having authored 38 papers that have together received 912 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (9 papers), Estrogen and related hormone effects (5 papers), Cancer-related Molecular Pathways (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Cancer Cells and Metastasis (3 papers), Ferroptosis and cancer prognosis (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Cancer Research (274 citations), Molecular Biology (611 citations), Oncology (188 citations), Immunology (88 citations) and Pathology and Forensic Medicine (51 citations). Pingli Mo has collaborated with scholars based in China and United States. Frequent co-authors include Chundong Yu, Ming Li, Kesong Peng, Wengang Li, Qiang Chen, Chunhong Yan, Hongbo Wang, Yongquan Shi, Xiaodi Zhao and Lijie He. Their work appears in journals such as Oncogene, Journal of Biological Chemistry, Cell & Bioscience, Frontiers in Pharmacology and Journal of Ethnopharmacology.
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.