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
Papers in
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- Cancer-related molecular mechanisms research 12
- MicroRNA in disease regulation 3
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- RNA Research and Splicing 6
- Circular RNAs in diseases 4
- Genomics and Chromatin Dynamics 4
- RNA modifications and cancer 3
- Co-authors
- Mingzhou Li (16 shared papers)Long Guo 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)BMC Genomics (3 papers)Genes (3 papers)GigaScience (2 papers)Animals (2 papers)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Silu Hu
28 papers receiving 450 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 130
- Genetics 126
- Animal Science and Zoology 42
- Molecular Biology 255
- Physiology 45
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 85 | |
| 2 | 2017 | 63 | |
| 3 | 2022 | 38 | |
| 4 | 2018 | 32 | |
| 5 | 2021 | 32 | |
| 6 | 2023 | 26 | |
| 7 | 2020 | 24 | |
| 8 | 2018 | 20 | |
| 9 | 2019 | 20 | |
| 10 | 2021 | 17 | |
| 11 | 2018 | 13 | |
| 12 | 2020 | 12 | |
| 13 | 2021 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2019 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2020 | 4 |
About Silu Hu
Silu Hu is a scholar working on Cancer Research, Molecular Biology, Genetics, Physiology and Immunology, having authored 30 papers that have together received 452 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), RNA Research and Splicing (6 papers), Circular RNAs in diseases (4 papers), Genomics and Chromatin Dynamics (4 papers), Adipose Tissue and Metabolism (4 papers), Genetic and phenotypic traits in livestock (4 papers), RNA modifications and cancer (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Cancer Research (130 citations), Genetics (126 citations), Animal Science and Zoology (42 citations), Molecular Biology (255 citations) and Physiology (45 citations). Silu Hu has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Mingzhou Li, Long Guo Jin, Qianzi Tang, Yán Li, Chunyou Ning, Qigui Wang, Guangliang Gao, Jideng Ma, Xuewei Li and Keren Long. Their work appears in journals such as Frontiers in Genetics, BMC Genomics, Genes, GigaScience and Animals.
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.