Runchen Miao
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- RNA modifications and cancer 5
- Circular RNAs in diseases 4
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- Cancer-related molecular mechanisms research 8
- Cancer, Lipids, and Metabolism 4
- MicroRNA in disease regulation 4
- Co-authors
- Jingyao Zhang (14 shared papers)Kai Qu (13 shared papers)Kai Qu (16 shared papers)Chang Liu (10 shared papers)Xiaohong Xiang (9 shared papers)Yunong Fu (8 shared papers)Qing Pang (12 shared papers)Sushun Liu (7 shared papers)
- Journals
- Aging (5 papers)Oncotarget (5 papers)World Journal of Gastroenterology (4 papers)OncoTargets and Therapy (2 papers)International Journal of Oncology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Runchen Miao
37 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Cancer Research 484
- Hepatology 95
- Molecular Biology 549
- Oncology 145
- Pharmacology 47
Countries citing papers authored by Runchen Miao
This map shows the geographic impact of Runchen Miao'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 Runchen Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runchen Miao more than expected).
Fields of papers citing papers by Runchen Miao
This network shows the impact of papers produced by Runchen Miao. 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 Runchen Miao. The network helps show where Runchen Miao may publish in the future.
Co-authors
The 25 scholars most cited alongside Runchen Miao, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 103 | |
| 2 | 2021 | 98 | |
| 3 | 2019 | 94 | |
| 4 | 2015 | 91 | |
| 5 | 2015 | 77 | |
| 6 | 2016 | 59 | |
| 7 | 2019 | 54 | |
| 8 | 2018 | 43 | |
| 9 | 2018 | 36 | |
| 10 | 2018 | 35 | |
| 11 | 2019 | 35 | |
| 12 | 2015 | 30 | |
| 13 | 2015 | 29 | |
| 14 | 2015 | 29 | |
| 15 | 2017 | 28 | |
| 16 | 2018 | 27 | |
| 17 | 2014 | 26 | |
| 18 | 2019 | 26 | |
| 19 | 2017 | 25 | |
| 20 | 2016 | 23 |
About Runchen Miao
Runchen Miao is a scholar working on Molecular Biology, Cancer Research, Oncology, Hepatology and Surgery, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), RNA modifications and cancer (5 papers), Cancer, Lipids, and Metabolism (4 papers), Circular RNAs in diseases (4 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Cancer Research (484 citations), Hepatology (95 citations), Molecular Biology (549 citations), Oncology (145 citations) and Pharmacology (47 citations). Runchen Miao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jingyao Zhang, Kai Qu, Kai Qu, Chang Liu, Xiaohong Xiang, Yunong Fu, Qing Pang, Sushun Liu, Xinsen Xu and Yanyan Zhou. Their work appears in journals such as Aging, Oncotarget, World Journal of Gastroenterology, OncoTargets and Therapy and International Journal of Oncology.
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.