Miao Mo
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
- Oncology top 5%
Papers in ⓘ
- Oncology 51
- Global Cancer Incidence and Screening 9
- Cancer Risks and Factors 9
- HER2/EGFR in Cancer Research 7
- Colorectal Cancer Screening and Detection 7
-
- Breast Cancer Treatment Studies 27
- Cancer-related molecular mechanisms research 9
- Co-authors
- Ying Zheng (10 shared papers)Jiong Wu (16 shared papers)Wanghong Xu (9 shared papers)Dongming Peng (2 shared papers)Qunye He (2 shared papers)Yanfei Liu (2 shared papers)Xiheng Hu (13 shared papers)Zhenbao Liu (2 shared papers)
- Journals
- Oncotarget (6 papers)Cancer Management and Research (4 papers)Frontiers in Oncology (4 papers)OncoTargets and Therapy (3 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Miao Mo
93 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Cancer Research 563
- Oncology 526
- Pulmonary and Respiratory Medicine 493
- Molecular Biology 672
- Urology 61
Countries citing papers authored by Miao Mo
This map shows the geographic impact of Miao 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 Miao Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miao Mo more than expected).
Fields of papers citing papers by Miao Mo
This network shows the impact of papers produced by Miao 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 Miao Mo. The network helps show where Miao Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Miao 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 200 | |
| 2 | Epidemiology and genomics of prostate cancer in Asian men Hit paper breakdown → | 2021 | 174 |
| 3 | 2019 | 165 | |
| 4 | 2019 | 105 | |
| 5 | 2016 | 90 | |
| 6 | 2016 | 69 | |
| 7 | 2020 | 59 | |
| 8 | 2015 | 49 | |
| 9 | 2018 | 48 | |
| 10 | 2019 | 48 | |
| 11 | 2022 | 42 | |
| 12 | 2019 | 38 | |
| 13 | 2022 | 38 | |
| 14 | 2016 | 35 | |
| 15 | 2019 | 33 | |
| 16 | 2015 | 33 | |
| 17 | 2023 | 32 | |
| 18 | 2021 | 29 | |
| 19 | 2024 | 28 | |
| 20 | 2021 | 27 |
About Miao Mo
Miao Mo is a scholar working on Oncology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Surgery, having authored 96 papers that have together received 2.0k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (27 papers), Global Cancer Incidence and Screening (9 papers), Cancer-related molecular mechanisms research (9 papers), Breast Lesions and Carcinomas (9 papers), Cancer Risks and Factors (9 papers), Ferroptosis and cancer prognosis (8 papers), HER2/EGFR in Cancer Research (7 papers) and Colorectal Cancer Screening and Detection (7 papers). The work is most often cited by research in Cancer Research (563 citations), Oncology (526 citations), Pulmonary and Respiratory Medicine (493 citations), Molecular Biology (672 citations) and Urology (61 citations). Miao Mo has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Ying Zheng, Jiong Wu, Wanghong Xu, Dongming Peng, Qunye He, Yanfei Liu, Xiheng Hu, Zhenbao Liu, Yao Zhu and Lin Qi. Their work appears in journals such as Oncotarget, Cancer Management and Research, Frontiers in Oncology, OncoTargets and Therapy and PLoS ONE.
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.