Hongyang Shi
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Geriatrics and Gerontology top 10%
Papers in
-
- Circular RNAs in diseases 4
- Kruppel-like factors research 2
-
- MicroRNA in disease regulation 4
- Co-authors
- Xia Yang (3 shared papers)Zhenni Zhang (1 shared paper)Yong Zhang (1 shared paper)Rongliang Xue (1 shared paper)Dexin Zhang (4 shared papers)Ping Fang (6 shared papers)Yuqiang Ji (3 shared papers)Yun Liu (3 shared papers)
- Journals
- Lipids in Health and Disease (3 papers)Experimental Lung Research (2 papers)Molecular Therapy — Oncolytics (1 paper)Oncology Reports (1 paper)FEBS Letters (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Hongyang Shi
23 papers receiving 815 citations
Peers
Comparison fields: 5 of 112
- Cancer Research 202
- Geriatrics and Gerontology 35
- Biochemistry 53
- Nutrition and Dietetics 82
- Molecular Biology 341
Countries citing papers authored by Hongyang Shi
This map shows the geographic impact of Hongyang Shi'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 Hongyang Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongyang Shi more than expected).
Fields of papers citing papers by Hongyang Shi
This network shows the impact of papers produced by Hongyang Shi. 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 Hongyang Shi. The network helps show where Hongyang Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Hongyang Shi, 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 | 2012 | 287 | |
| 2 | 2015 | 68 | |
| 3 | 2016 | 58 | |
| 4 | 2015 | 51 | |
| 5 | 2011 | 47 | |
| 6 | 2011 | 46 | |
| 7 | 2015 | 39 | |
| 8 | 2015 | 34 | |
| 9 | 2021 | 26 | |
| 10 | 2012 | 26 | |
| 11 | 2021 | 24 | |
| 12 | 2023 | 21 | |
| 13 | 2022 | 21 | |
| 14 | 2023 | 17 | |
| 15 | 2022 | 13 | |
| 16 | 2011 | 12 | |
| 17 | 2022 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2023 | 5 |
About Hongyang Shi
Hongyang Shi is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Cell Biology, having authored 23 papers that have together received 828 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Autophagy in Disease and Therapy (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), COVID-19 Clinical Research Studies (3 papers), Advanced Chemical Sensor Technologies (2 papers) and Kruppel-like factors research (2 papers). The work is most often cited by research in Cancer Research (202 citations), Geriatrics and Gerontology (35 citations), Biochemistry (53 citations), Nutrition and Dietetics (82 citations) and Molecular Biology (341 citations). Hongyang Shi has collaborated with scholars based in China and United States. Frequent co-authors include Xia Yang, Zhenni Zhang, Yong Zhang, Rongliang Xue, Dexin Zhang, Ping Fang, Yuqiang Ji, Yun Liu, Xiuzhen Sun and Lei Dong. Their work appears in journals such as Lipids in Health and Disease, Experimental Lung Research, Molecular Therapy — Oncolytics, Oncology Reports and FEBS Letters.
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.