Silu Hu
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
Papers in
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- RNA Research and Splicing 6
- Genomics and Chromatin Dynamics 4
- Genomics and Phylogenetic Studies 3
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- Cancer-related molecular mechanisms research 12
- MicroRNA in disease regulation 4
- Co-authors
- Mingzhou Li (16 shared papers)Long Jin (14 shared papers)Qianzi Tang (14 shared papers)Yán Li (5 shared papers)Chunyou Ning (4 shared papers)Qigui Wang (5 shared papers)Guangliang Gao (5 shared papers)Jideng Ma (9 shared papers)
- Journals
- Frontiers in Genetics (5 papers)Genes (3 papers)BMC Genomics (3 papers)Animals (2 papers)BMC Biology (1 paper)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Silu Hu
25 papers receiving 253 citations
Peers
Comparison fields: 5 of 51
- Cancer Research 92
- Genetics 96
- Animal Science and Zoology 33
- Molecular Biology 169
- Agronomy and Crop Science 10
Countries citing papers authored by Silu Hu
This map shows the geographic impact of Silu 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 Silu Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silu Hu more than expected).
Fields of papers citing papers by Silu Hu
This network shows the impact of papers produced by Silu 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 Silu Hu. The network helps show where Silu Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Silu 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 33 | |
| 2 | 2018 | 31 | |
| 3 | 2021 | 29 | |
| 4 | 2020 | 24 | |
| 5 | 2018 | 20 | |
| 6 | 2019 | 18 | |
| 7 | 2021 | 17 | |
| 8 | 2020 | 12 | |
| 9 | 2018 | 11 | |
| 10 | 2021 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2019 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 1 |
About Silu Hu
Silu Hu is a scholar working on Molecular Biology, Cancer Research, Genetics, Plant Science and Physiology, having authored 26 papers that have together received 255 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), RNA Research and Splicing (6 papers), Genetic and phenotypic traits in livestock (5 papers), MicroRNA in disease regulation (4 papers), Genomics and Chromatin Dynamics (4 papers), Chromosomal and Genetic Variations (4 papers), Genomics and Phylogenetic Studies (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Cancer Research (92 citations), Genetics (96 citations), Animal Science and Zoology (33 citations), Molecular Biology (169 citations) and Agronomy and Crop Science (10 citations). Silu Hu has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Mingzhou Li, Long Jin, Qianzi Tang, Yán Li, Chunyou Ning, Qigui Wang, Guangliang Gao, Jideng Ma, Xuewei Li and Yi Luo. Their work appears in journals such as Frontiers in Genetics, Genes, BMC Genomics, Animals and BMC Biology.
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.