Songnian Hu
- Plant Science top 0.2%
- Molecular Biology top 0.5%
- Genomics and Phylogenetic Studies 70
- RNA and protein synthesis mechanisms 33
- RNA modifications and cancer 22
- RNA Research and Splicing 21
- Endocrinology top 0.5%
- Molecular Medicine top 1%
- Cancer Research top 1%
- Cancer-related molecular mechanisms research 17
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- Genetic Mapping and Diversity in Plants and Animals 20
- Genetic diversity and population structure 17
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- Bacteriophages and microbial interactions 17
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (14 papers)Nature Communications (3 papers)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Songnian Hu
350 papers receiving 14.8k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Plant Science 4.8k
- Molecular Biology 8.7k
- Endocrinology 590
- Molecular Medicine 483
- Cancer Research 1.3k
Countries citing papers authored by Songnian Hu
This map shows the geographic impact of Songnian 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 Songnian Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songnian Hu more than expected).
Fields of papers citing papers by Songnian Hu
This network shows the impact of papers produced by Songnian 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 Songnian Hu. The network helps show where Songnian Hu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Songnian 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 12 | |
| 7 | 2024 | 22 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2020 | 20 | |
| 12 | 2020 | 9 | |
| 13 | 2018 | 10 | |
| 14 | 2018 | 44 | |
| 15 | 2017 | 75 | |
| 16 | 2015 | 193 | |
| 17 | Sequence analysis of the complete mitochondrial genome and molecular evolution of Cricetulus griseus | 2012 | 1 |
| 18 | The analysis of the low coverage Porphyra yezoensis draft genome | 2011 | 2 |
| 19 | 2011 | 16 | |
| 20 | Sequential analysis of mitochondrial COI gene for seven common sarcosaphagous flies (Diptera) in Beijing and the establishment of their DNA barcodes. | 2009 | 4 |
About Songnian Hu
Songnian Hu is a scholar working on Molecular Biology, Endocrinology and Molecular Medicine, having authored 360 papers that have together received 15.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (70 papers), RNA and protein synthesis mechanisms (33 papers), RNA modifications and cancer (22 papers), RNA Research and Splicing (21 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers), Bacteriophages and microbial interactions (17 papers), Cancer-related molecular mechanisms research (17 papers) and Genetic diversity and population structure (17 papers). The work is most often cited by research in Plant Science (4.8k citations), Molecular Biology (8.7k citations) and Endocrinology (590 citations). Songnian Hu has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Jun Yu, Shenghan Gao, Martin J. Lercher, Jiabin Tang, Mengliang Cao, Jing Liu, Xiaomin Yu, Yimei Cai, Wei‐Hua Chen and Huangkai Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.