Maoni Guo
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- RNA Research and Splicing
- Circular RNAs in diseases
- CRISPR and Genetic Engineering
Papers in
-
- RNA modifications and cancer 9
- RNA Research and Splicing 6
- DNA Repair Mechanisms 4
- CRISPR and Genetic Engineering 3
-
- Cancer-related molecular mechanisms research 11
- MicroRNA in disease regulation 2
- Co-authors
- Shangwei Ning (10 shared papers)Peng Wang (10 shared papers)Hui Zhi (9 shared papers)Yue Gao (9 shared papers)Jizhou Zhang (6 shared papers)Xia Li (7 shared papers)Ming Yue (8 shared papers)Yue Liu (3 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Journal of Medical Genetics (4 papers)Oncotarget (3 papers)Frontiers in Bioengineering and Biotechnology (1 paper)Informatics (1 paper)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Maoni Guo
22 papers receiving 953 citations
Peers
Comparison fields: 5 of 54
- Cancer Research 730
- Molecular Biology 678
- Endocrinology 24
- Genetics 78
- Oncology 44
Countries citing papers authored by Maoni Guo
This map shows the geographic impact of Maoni Guo'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 Maoni Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maoni Guo more than expected).
Fields of papers citing papers by Maoni Guo
This network shows the impact of papers produced by Maoni Guo. 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 Maoni Guo. The network helps show where Maoni Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Maoni Guo, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 274 | |
| 2 | 2015 | 151 | |
| 3 | 2015 | 96 | |
| 4 | 2015 | 86 | |
| 5 | 2016 | 67 | |
| 6 | 2017 | 45 | |
| 7 | 2017 | 41 | |
| 8 | 2020 | 28 | |
| 9 | 2020 | 26 | |
| 10 | 2018 | 24 | |
| 11 | 2016 | 20 | |
| 12 | 2016 | 18 | |
| 13 | 2022 | 16 | |
| 14 | 2020 | 12 | |
| 15 | 2021 | 10 | |
| 16 | 2019 | 9 | |
| 17 | 2016 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2022 | 6 |
About Maoni Guo
Maoni Guo is a scholar working on Molecular Biology, Cancer Research, Genetics, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 23 papers that have together received 961 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (11 papers), RNA modifications and cancer (9 papers), RNA Research and Splicing (6 papers), BRCA gene mutations in cancer (5 papers), DNA Repair Mechanisms (4 papers), Ferroptosis and cancer prognosis (3 papers), CRISPR and Genetic Engineering (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (730 citations), Molecular Biology (678 citations), Endocrinology (24 citations), Genetics (78 citations) and Oncology (44 citations). Maoni Guo has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Shangwei Ning, Peng Wang, Hui Zhi, Yue Gao, Jizhou Zhang, Xia Li, Ming Yue, Yue Liu, Meng Zhou and Jie Sun. Their work appears in journals such as Nucleic Acids Research, Journal of Medical Genetics, Oncotarget, Frontiers in Bioengineering and Biotechnology and Informatics.
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.