Sile Hu
Impact in
-
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
Papers in
- Genetics 10
- Genetic Associations and Epidemiology 7
- Genetic and phenotypic traits in livestock 4
- Genetic Mapping and Diversity in Plants and Animals 4
- Co-authors
- Zhe Chen (9 shared papers)Qiaosheng Zhang (8 shared papers)Jing Wang (7 shared papers)Andrey L. Rogach (3 shared papers)Haocheng Zhou (3 shared papers)Erik Martinez (3 shared papers)Aleksandra B. Djurišić (1 shared paper)Jahrane Dale (2 shared papers)
- Journals
- Scientific Reports (3 papers)Cell Reports (2 papers)Physical review. B. (2 papers)Nature Genetics (2 papers)PLoS Genetics (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Sile Hu
36 papers receiving 649 citations
Peers
Comparison fields: 5 of 115
- Cellular and Molecular Neuroscience 137
- Cognitive Neuroscience 142
- Physiology 159
- Behavioral Neuroscience 19
- Atmospheric Science 71
Countries citing papers authored by Sile Hu
This map shows the geographic impact of Sile Hu'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 Sile Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sile Hu more than expected).
Fields of papers citing papers by Sile Hu
This network shows the impact of papers produced by Sile Hu. 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 Sile Hu. The network helps show where Sile Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sile Hu, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 83 | |
| 2 | 2018 | 66 | |
| 3 | 2021 | 65 | |
| 4 | 2021 | 60 | |
| 5 | 2017 | 48 | |
| 6 | 2013 | 36 | |
| 7 | 2018 | 31 | |
| 8 | 2023 | 25 | |
| 9 | 2017 | 24 | |
| 10 | 2018 | 20 | |
| 11 | 2017 | 17 | |
| 12 | 2018 | 16 | |
| 13 | 2012 | 16 | |
| 14 | 2018 | 15 | |
| 15 | 2017 | 15 | |
| 16 | 2018 | 15 | |
| 17 | 2022 | 14 | |
| 18 | 2018 | 14 | |
| 19 | 2018 | 13 | |
| 20 | 2025 | 11 |
About Sile Hu
Sile Hu is a scholar working on Molecular Biology, Genetics, Physiology, Materials Chemistry and Cognitive Neuroscience, having authored 44 papers that have together received 656 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Genetic and phenotypic traits in livestock (4 papers), Pain Mechanisms and Treatments (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Stress Responses and Cortisol (3 papers), Advanced Thermoelectric Materials and Devices (3 papers), Neural dynamics and brain function (3 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (137 citations), Cognitive Neuroscience (142 citations), Physiology (159 citations), Behavioral Neuroscience (19 citations) and Atmospheric Science (71 citations). Sile Hu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhe Chen, Qiaosheng Zhang, Jing Wang, Andrey L. Rogach, Haocheng Zhou, Erik Martinez, Aleksandra B. Djurišić, Jahrane Dale, Huiming Song and Jingze Tan. Their work appears in journals such as Scientific Reports, Cell Reports, Physical review. B., Nature Genetics and PLoS Genetics.
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.