Hong Yi
Impact in
- Cellular and Molecular Neuroscience top 0.5%
- Genetic Neurodegenerative Diseases
- Neuroscience and Neuropharmacology Research
- Metals and Alloys top 1%
Papers in
-
- Hydrogen embrittlement and corrosion behaviors in metals 23
-
- Neuroscience and Neuropharmacology Research 19
- Co-authors
- Allan I. LeveySteven M. HerschMakoto NaoiZhi‐Qiang XiaoYukihiro AkaoFuad S. ShihabTakeshi F. AndohWakako Maruyama
- Journals
- Materials Science and Technology (12 papers)Scripta Materialia (11 papers)Journal of Neural Transmission (7 papers)Otolaryngology (6 papers)Journal of Neuroscience (6 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hong Yi
272 papers receiving 12.2k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Cellular and Molecular Neuroscience 3.0k
- Metals and Alloys 316
- Molecular Biology 6.1k
- Neurology 1.2k
- Cancer Research 1.2k
Countries citing papers authored by Hong Yi
This map shows the geographic impact of Hong Yi'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 Hong Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Yi more than expected).
Fields of papers citing papers by Hong Yi
This network shows the impact of papers produced by Hong Yi. 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 Hong Yi. The network helps show where Hong Yi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hong Yi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 6 | |
| 6 | 2021 | 13 | |
| 7 | 2021 | 44 | |
| 8 | 2021 | 7 | |
| 9 | 2020 | 38 | |
| 10 | 2019 | 14 | |
| 11 | 2018 | 66 | |
| 12 | 2018 | 1 | |
| 13 | 2017 | 71 | |
| 14 | 2015 | 74 | |
| 15 | 2010 | 153 | |
| 16 | Choice of Burning-on Defect Preventing Coating for Heavy Castings | 2009 | 0 |
| 17 | 2007 | 70 | |
| 18 | [Comparative proteome analysis of human lung squamous cell carcinoma]. | 2006 | 3 |
| 19 | [2-DE profiling and differential analysis of human bronchial epithelial tissues in different stages of carcinogenesis]. | 2004 | 2 |
| 20 | 1997 | 430 |
About Hong Yi
Hong Yi is a scholar working on Metals and Alloys, Cellular and Molecular Neuroscience, Molecular Biology, Virology and Cancer Research, having authored 280 papers that have together received 12.4k indexed citations. Recurring topics across this work include Microstructure and Mechanical Properties of Steels (52 papers), Metal Alloys Wear and Properties (29 papers), Hydrogen embrittlement and corrosion behaviors in metals (23 papers), Neuroscience and Neuropharmacology Research (19 papers), RNA modifications and cancer (17 papers), Metallurgy and Material Forming (14 papers), Parkinson's Disease Mechanisms and Treatments (12 papers) and MicroRNA in disease regulation (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.0k citations), Metals and Alloys (316 citations), Molecular Biology (6.1k citations), Neurology (1.2k citations) and Cancer Research (1.2k citations). Hong Yi has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Allan I. Levey, Steven M. Hersch, Makoto Naoi, Zhi‐Qiang Xiao, Yukihiro Akao, Fuad S. Shihab, Takeshi F. Andoh, Wakako Maruyama, Claire‐Anne Gutekunst and William M. Bennett. Their work appears in journals such as Materials Science and Technology, Scripta Materialia, Journal of Neural Transmission, Otolaryngology and Journal of Neuroscience.
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.