Jin Miao
Impact in
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis
Papers in
-
- Plant Gene Expression Analysis 2
- RNA and protein synthesis mechanisms 2
-
- Alzheimer's disease research and treatments 5
- Co-authors
- Li‐Jia Qu (4 shared papers)Hongya Gu (4 shared papers)Lixin Zhang (3 shared papers)Xuejin Zhao (1 shared paper)Sihai Xiang (1 shared paper)Chunbo Lou (1 shared paper)Yang Zhang (1 shared paper)Yiling Hu (1 shared paper)
- Journals
- PeerJ (2 papers)BMC Neuroscience (1 paper)Cell Research (1 paper)Obstetrical & Gynecological Survey (1 paper)Renal Failure (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jin Miao
25 papers receiving 896 citations
Peers
Comparison fields: 5 of 94
- Pharmacology 163
- Biological Psychiatry 16
- Plant Science 264
- Molecular Biology 466
- Biotechnology 47
Countries citing papers authored by Jin Miao
This map shows the geographic impact of Jin 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 Jin Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Miao more than expected).
Fields of papers citing papers by Jin Miao
This network shows the impact of papers produced by Jin 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 Jin Miao. The network helps show where Jin Miao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 168 | |
| 2 | 2011 | 140 | |
| 3 | 2019 | 98 | |
| 4 | 2010 | 70 | |
| 5 | 2015 | 70 | |
| 6 | 2007 | 62 | |
| 7 | 2007 | 60 | |
| 8 | 2005 | 41 | |
| 9 | 2016 | 28 | |
| 10 | PKR promotes choroidal neovascularization via upregulating the PI3K/Akt signaling pathway in VEGF expression. | 2016 | 24 |
| 11 | 2017 | 23 | |
| 12 | 2018 | 22 | |
| 13 | 2005 | 18 | |
| 14 | 2023 | 17 | |
| 15 | 2020 | 17 | |
| 16 | 2022 | 13 | |
| 17 | 2016 | 8 | |
| 18 | 2024 | 8 | |
| 19 | 2014 | 8 | |
| 20 | 2017 | 6 |
About Jin Miao
Jin Miao is a scholar working on Molecular Biology, Physiology, Plant Science, Pharmacology and Condensed Matter Physics, having authored 26 papers that have together received 910 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Advanced Condensed Matter Physics (2 papers), Plant Gene Expression Analysis (2 papers), Hepatitis B Virus Studies (2 papers), Neuroscience and Neuropharmacology Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Hepatitis Viruses Studies and Epidemiology (2 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Pharmacology (163 citations), Biological Psychiatry (16 citations), Plant Science (264 citations), Molecular Biology (466 citations) and Biotechnology (47 citations). Jin Miao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Li‐Jia Qu, Hongya Gu, Lixin Zhang, Xuejin Zhao, Sihai Xiang, Chunbo Lou, Yang Zhang, Yiling Hu, Fei Liu and Li Zhang. Their work appears in journals such as PeerJ, BMC Neuroscience, Cell Research, Obstetrical & Gynecological Survey and Renal Failure.
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.