Guoxin Mao
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- RNA modifications and cancer
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
- Circular RNAs in diseases
Papers in
-
- RNA modifications and cancer 8
- Ubiquitin and proteasome pathways 4
- Cancer-related gene regulation 4
- Glycosylation and Glycoproteins Research 3
- Circular RNAs in diseases 3
- Wnt/β-catenin signaling in development and cancer 3
- Oncology 11
- Cancer-related Molecular Pathways 5
- Co-authors
- Huijun Zhu (3 shared papers)Qun Xue (11 shared papers)Shu Zhang (3 shared papers)Liting Lv (9 shared papers)Buyou Chen (9 shared papers)Wei Wang (1 shared paper)Yixin Zhang (1 shared paper)Tingting Ni (8 shared papers)
- Journals
- Tumor Biology (4 papers)Journal of Molecular Histology (3 papers)Medical Oncology (2 papers)OncoTargets and Therapy (2 papers)Sensors and Actuators B Chemical (1 paper)
- Partner nations
- China
In The Last Decade
Guoxin Mao
37 papers receiving 670 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 188
- Molecular Biology 435
- Oncology 140
- Immunology 75
- Cell Biology 53
Countries citing papers authored by Guoxin Mao
This map shows the geographic impact of Guoxin Mao'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 Guoxin Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoxin Mao more than expected).
Fields of papers citing papers by Guoxin Mao
This network shows the impact of papers produced by Guoxin Mao. 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 Guoxin Mao. The network helps show where Guoxin Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Guoxin Mao, 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 | 2014 | 102 | |
| 2 | 2018 | 41 | |
| 3 | 2019 | 38 | |
| 4 | 2013 | 36 | |
| 5 | 2015 | 34 | |
| 6 | 2014 | 32 | |
| 7 | 2013 | 30 | |
| 8 | High expression of MAGE-A9 in tumor and stromal cells of non-small cell lung cancer was correlated with patient poor survival. | 2015 | 30 |
| 9 | 2013 | 27 | |
| 10 | 2015 | 27 | |
| 11 | 2016 | 26 | |
| 12 | 2018 | 23 | |
| 13 | 2015 | 22 | |
| 14 | 2021 | 20 | |
| 15 | 2016 | 20 | |
| 16 | 2014 | 19 | |
| 17 | 2015 | 17 | |
| 18 | 2013 | 16 | |
| 19 | 2016 | 16 | |
| 20 | 2014 | 13 |
About Guoxin Mao
Guoxin Mao is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Cell Biology, having authored 38 papers that have together received 672 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Cancer-related Molecular Pathways (5 papers), Cancer-related molecular mechanisms research (5 papers), Ubiquitin and proteasome pathways (4 papers), Cancer-related gene regulation (4 papers), Glycosylation and Glycoproteins Research (3 papers), Circular RNAs in diseases (3 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). The work is most often cited by research in Cancer Research (188 citations), Molecular Biology (435 citations), Oncology (140 citations), Immunology (75 citations) and Cell Biology (53 citations). Guoxin Mao has collaborated with scholars based in China. Frequent co-authors include Huijun Zhu, Qun Xue, Shu Zhang, Liting Lv, Buyou Chen, Wei Wang, Yixin Zhang, Tingting Ni, Yifei Liu and Runzhou Ni. Their work appears in journals such as Tumor Biology, Journal of Molecular Histology, Medical Oncology, OncoTargets and Therapy and Sensors and Actuators B Chemical.
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.