Songnian Hu

30.0k total citations · 5 hit papers
360 papers, 15.1k citations indexed

About

Songnian Hu is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Songnian Hu has authored 360 papers receiving a total of 15.1k indexed citations (citations by other indexed papers that have themselves been cited), including 220 papers in Molecular Biology, 71 papers in Plant Science and 67 papers in Genetics. Recurrent topics in Songnian Hu's work include Genomics and Phylogenetic Studies (70 papers), RNA and protein synthesis mechanisms (33 papers) and RNA modifications and cancer (22 papers). Songnian Hu is often cited by papers focused on Genomics and Phylogenetic Studies (70 papers), RNA and protein synthesis mechanisms (33 papers) and RNA modifications and cancer (22 papers). Songnian Hu collaborates with scholars based in China, United States and Saudi Arabia. Songnian Hu's co-authors include Jun Yu, Shenghan Gao, Martin J. Lercher, Mengliang Cao, Jiabin Tang, Jing Liu, Xiaomin Yu, Yimei Cai, Wei‐Hua Chen and Huangkai Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Songnian Hu

350 papers receiving 14.8k citations

Hit Papers

A draft sequence of the rice genome (Oryza sativa L. ssp.... 2002 2026 2010 2018 2002 2009 2019 2016 2018 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Songnian Hu China 60 8.7k 4.8k 2.2k 1.5k 1.3k 360 15.1k
Corina Antonescu United States 12 7.3k 0.8× 4.2k 0.9× 1.8k 0.8× 1.2k 0.8× 1.4k 1.1× 22 12.6k
Ana Conesa Spain 51 10.3k 1.2× 5.0k 1.0× 2.3k 1.0× 1.3k 0.9× 1.6k 1.3× 165 17.5k
Jody Clements United States 20 11.0k 1.3× 4.3k 0.9× 1.9k 0.9× 2.1k 1.4× 1.3k 1.0× 25 16.2k
Ruiqiang Li China 31 9.6k 1.1× 4.4k 0.9× 2.8k 1.2× 1.7k 1.2× 1.4k 1.1× 81 15.3k
Yanqing Zhou China 19 7.9k 0.9× 4.0k 0.8× 2.3k 1.0× 2.7k 1.8× 1.1k 0.8× 84 16.3k
Jia Gu China 14 7.7k 0.9× 3.8k 0.8× 2.3k 1.0× 2.7k 1.8× 1.1k 0.8× 42 15.9k
Andreas Heger United Kingdom 34 10.7k 1.2× 3.3k 0.7× 2.2k 1.0× 1.7k 1.2× 1.3k 1.0× 55 15.9k
Ruth Y. Eberhardt United Kingdom 17 9.3k 1.1× 3.9k 0.8× 1.7k 0.8× 2.0k 1.3× 871 0.7× 28 13.7k
John Tate United Kingdom 19 14.0k 1.6× 5.1k 1.1× 2.5k 1.1× 2.8k 1.9× 1.6k 1.3× 23 20.2k
Marco Punta United States 29 10.5k 1.2× 4.0k 0.8× 1.8k 0.8× 2.1k 1.4× 721 0.6× 59 15.3k

Countries citing papers authored by Songnian Hu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Songnian Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Songnian Hu. A scholar is included among the top collaborators of Songnian Hu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Songnian Hu. Songnian Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Yining, et al.. (2024). A Meta-Analysis of the Human Gut Mycobiome Using Internal Transcribed Spacer Data. Microorganisms. 12(12). 2567–2567. 1 indexed citations
2.
Liu, Danping, Kexin Li, Yun Yang, et al.. (2024). Anaerostipes hadrus , a butyrate-producing bacterium capable of metabolizing 5-fluorouracil. mSphere. 9(4). e0081623–e0081623. 22 indexed citations
3.
Wang, Xinyu, Dahe Zhao, Yaxin Zhu, et al.. (2024). Biological nitrogen fixation driven by methane anaerobic oxidation supports the complex biological communities in cold-seep habitat. Environmental Technology & Innovation. 37. 103938–103938.
4.
Fu, Jia, Guoqiang Zhang, Yanwei Zhang, et al.. (2024). Associations Between the Polymorphisms in the Coding Sequence of SLCO1B1 and Blood Lipid Levels Before and After Treatment by Atorvastatin in the Chinese Han Adults with Dyslipidemia. Pharmacogenomics and Personalized Medicine. Volume 17. 551–561. 1 indexed citations
6.
Yu, Si, Xiaomeng Ge, Hui Xu, et al.. (2023). Gut microbiome and mycobiome in inflammatory bowel disease patients with Clostridioides difficile infection. Frontiers in Cellular and Infection Microbiology. 13. 1129043–1129043. 15 indexed citations
7.
Tao, Yu, Yingfeng Luo, Xinyu Tan, et al.. (2023). Global Marine Cold Seep Metagenomes Reveal Diversity of Taxonomy, Metabolic Function, and Natural Products. Genomics Proteomics & Bioinformatics. 22(2). 1 indexed citations
8.
Zhang, Zhang, Songnian Hu, & Jun Yu. (2023). Toward a New Paradigm of Genomics Research—Celebration of the 20th Anniversary of Beijing Institute of Genomics. Genomics Proteomics & Bioinformatics. 21(5). 904–909. 1 indexed citations
9.
Leclercq, Julie, Shuangyang Wu, Benoît Farinas, et al.. (2020). Post-transcriptional regulation of several biological processes involved in latex production in Hevea brasiliensis. PeerJ. 8. e8932–e8932. 9 indexed citations
10.
Wang, Jianbin, Shenghan Gao, Yulia Mostovoy, et al.. (2017). Comparative genome analysis of programmed DNA elimination in nematodes. Genome Research. 27(12). 2001–2014. 75 indexed citations
11.
Chen, Wei‐Hua, Guanting Lu, Peer Bork, Songnian Hu, & Martin J. Lercher. (2016). Energy efficiency trade-offs drive nucleotide usage in transcribed regions. Nature Communications. 7(1). 11334–11334. 73 indexed citations
12.
Hu, Yang, Qian Xiong, Yadong Yang, et al.. (2015). Integrated analysis of gene expression and microRNA regulation in three leukemia-related lymphoblastic cell lines. Gene. 564(1). 39–52. 6 indexed citations
13.
Liu, Xue, Lili Hao, Dayong Li, Lihuang Zhu, & Songnian Hu. (2015). Long Non-Coding RNAs and their Biological Roles in Plants. Genomics Proteomics & Bioinformatics. 13(3). 137–147. 193 indexed citations
14.
Xin, Chengqi, Wanfei Liu, Qiang Lin, et al.. (2015). Profiling microRNA expression during multi-staged date palm ( Phoenix dactylifera L.) fruit development. Genomics. 105(4). 242–251. 20 indexed citations
15.
Hu, Songnian. (2012). Sequence analysis of the complete mitochondrial genome and molecular evolution of Cricetulus griseus. 1 indexed citations
16.
Lin, Qiang, Peng Cui, Feng Ding, Songnian Hu, & Jun Yu. (2012). Replication-Associated Mutational Pressure (RMP) Governs Strand-Biased Compositional Asymmetry (SCA) and Gene Organization in Animal Mitochondrial Genomes. Current Genomics. 13(1). 28–36. 7 indexed citations
17.
Wu, Gang, Jiang Zhu, Fuhong He, et al.. (2012). Gene and Genome Parameters of Mammalian Liver Circadian Genes (LCGs). PLoS ONE. 7(10). e46961–e46961. 8 indexed citations
18.
Hu, Songnian. (2011). The analysis of the low coverage Porphyra yezoensis draft genome. Haiyang kexue. 2 indexed citations
19.
Sun, Chao, Yongqiao Sun, Jingyuan Song, et al.. (2011). Discovery of genes related to steroidal alkaloid biosynthesis in Fritillaria cirrhosa by generating and mining a dataset of expressed sequence tags (ESTs). Journal of Medicinal Plants Research. 5(21). 5307–5314. 16 indexed citations

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.

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