Liyan Hu

4.0k total citations · 1 hit paper
58 papers, 3.2k citations indexed

About

Liyan Hu is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Liyan Hu has authored 58 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Cancer Research and 9 papers in Genetics. Recurrent topics in Liyan Hu's work include Cancer-related molecular mechanisms research (11 papers), Metabolism and Genetic Disorders (8 papers) and RNA modifications and cancer (6 papers). Liyan Hu is often cited by papers focused on Cancer-related molecular mechanisms research (11 papers), Metabolism and Genetic Disorders (8 papers) and RNA modifications and cancer (6 papers). Liyan Hu collaborates with scholars based in China, Switzerland and United States. Liyan Hu's co-authors include Feng Shao, Jingjin Ding, Yupeng Wang, Yue Zhao, Wenqing Gao, Jianjin Shi, Peng Li, Yongqun Zhu, Yan Zhou and Na Dong and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Liyan Hu

53 papers receiving 3.1k citations

Hit Papers

Inflammatory caspases are innate immune receptors for int... 2014 2026 2018 2022 2014 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
Liyan Hu China 20 2.1k 996 404 325 253 58 3.2k
Qiuhe Lu China 19 1.7k 0.8× 789 0.8× 404 1.0× 453 1.4× 80 0.3× 31 2.8k
Balázs Rada United States 30 1.1k 0.5× 1.3k 1.3× 159 0.4× 313 1.0× 85 0.3× 79 2.8k
Kaiwen Chen China 26 3.0k 1.4× 1.8k 1.8× 84 0.2× 336 1.0× 368 1.5× 67 4.0k
Houhui Song China 22 1.4k 0.7× 436 0.4× 107 0.3× 410 1.3× 119 0.5× 116 2.6k
Michael Wacker United States 30 2.2k 1.1× 232 0.2× 601 1.5× 374 1.2× 433 1.7× 80 3.8k
Lennart S. Forsberg United States 28 1.7k 0.8× 782 0.8× 131 0.3× 192 0.6× 121 0.5× 51 3.0k
Caixia Ma China 25 1.6k 0.8× 897 0.9× 438 1.1× 208 0.6× 32 0.1× 64 3.0k
Emma M. Creagh Ireland 23 2.4k 1.1× 1.5k 1.5× 64 0.2× 749 2.3× 88 0.3× 40 3.8k
Andreas J. Müller Germany 40 1.8k 0.8× 904 0.9× 494 1.2× 525 1.6× 55 0.2× 125 4.7k
Young Ah Goo United States 31 1.9k 0.9× 315 0.3× 820 2.0× 322 1.0× 32 0.1× 76 3.5k

Countries citing papers authored by Liyan Hu

Since Specialization
Citations

This map shows the geographic impact of Liyan 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 Liyan Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liyan Hu more than expected).

Fields of papers citing papers by Liyan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liyan 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 Liyan Hu. The network helps show where Liyan Hu may publish in the future.

Co-authorship network of co-authors of Liyan Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Liyan Hu. A scholar is included among the top collaborators of Liyan 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 Liyan Hu. Liyan 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.
Guo, Shaoke, et al.. (2025). Proteomic analysis reveals changes in protein expression in yak oocytes at different meiosis stages. International Journal of Biological Macromolecules. 309(Pt 2). 142813–142813.
2.
Wu, Xiaoyun, Shaoke Guo, Mengli Cao, et al.. (2025). Whole-Genome Sequencing Unveils the Uniqueness of Yushu Yaks (Bos grunniens). International Journal of Molecular Sciences. 26(8). 3879–3879. 1 indexed citations
3.
Guo, Shaoke, Lin Xiong, Xiaoyun Wu, et al.. (2025). The Metabolic Network of Chilled Yak Meat During Storage Was Constructed Based on Metabolomics Technology. Foods. 14(18). 3173–3173.
4.
Guo, Shaoke, Mengli Cao, Liyan Hu, et al.. (2025). Genomic Characterization of Crossbred-Driven Adaptation in the Endangered Yangba Cattle of China. Animals. 15(7). 1065–1065.
5.
Hu, Liyan, Shaoke Guo, Mengli Cao, et al.. (2025). Ribo‐Seq Analysis‐Based Elucidation of the Dynamic Translation Landscape of Yak Ovarian Tissues in Different Reproductive Stages. The FASEB Journal. 39(15). e70924–e70924. 1 indexed citations
7.
Wang, Xingdong, Shaoke Guo, Mengli Cao, et al.. (2025). Characteristic analysis of N6-methyladenine in different parts of yak epididymis. BMC Genomics. 26(1). 500–500.
8.
Guo, Yuxin, et al.. (2024). Vanadium doped Fe-Mn bimetallic oxides as cathodic materials for boosted heterogeneous electro-Fenton degradation of organic contaminants. Separation and Purification Technology. 354. 129174–129174. 6 indexed citations
9.
Hu, Liyan, Shaoke Guo, Mengli Cao, et al.. (2024). Whole-transcriptome sequencing analysis to identify key circRNAs, miRNAs, and mRNAs in the development of yak testes. BMC Genomics. 25(1). 824–824. 1 indexed citations
10.
Guo, Shaoke, Mengli Cao, Liyan Hu, et al.. (2024). Effects of High-Concentrate Diets on Growth Performance, Serum Biochemical Indexes, and Rumen Microbiota in House-Fed Yaks. Animals. 14(24). 3594–3594. 3 indexed citations
11.
Hu, Liyan, Jiqing Wang, Yuzhu Luo, et al.. (2023). Identification and Characterization of Circular RNAs (circRNAs) Using RNA-Seq in Two Breeds of Cashmere Goats. Genes. 14(2). 331–331. 3 indexed citations
12.
Hao, Zhiyun, Mengli Zhao, Jiyuan Shen, et al.. (2021). MicroRNA-148a Regulates the Proliferation and Differentiation of Ovine Preadipocytes by Targeting PTEN. Animals. 11(3). 820–820. 19 indexed citations
13.
Shen, Jiyuan, Zhiyun Hao, Jiqing Wang, et al.. (2021). Comparative Transcriptome Profile Analysis of Longissimus dorsi Muscle Tissues From Two Goat Breeds With Different Meat Production Performance Using RNA-Seq. Frontiers in Genetics. 11. 619399–619399. 21 indexed citations
14.
Dong, Na, et al.. (2016). Modulation of membrane phosphoinositide dynamics by the phosphatidylinositide 4-kinase activity of the Legionella LepB effector. Nature Microbiology. 2(3). 16236–16236. 51 indexed citations
15.
Hu, Liyan, Khalid Ibrahim, Martin Stucki, et al.. (2015). Secondary NAD+ deficiency in the inherited defect of glutamine synthetase. Journal of Inherited Metabolic Disease. 38(6). 1075–1083. 17 indexed citations
16.
Ghodgaonkar, Medini M., et al.. (2014). Phenotypic characterization of missense polymerase-δ mutations using an inducible protein-replacement system. Nature Communications. 5(1). 4990–4990. 15 indexed citations
17.
Hu, Liyan, Carmen Dı́ez-Fernández, Véronique Rüfenacht, et al.. (2014). Recurrence of carbamoyl phosphate synthetase 1 (CPS1) deficiency in Turkish patients: Characterization of a founder mutation by use of recombinant CPS1 from insect cells expression. Molecular Genetics and Metabolism. 113(4). 267–273. 9 indexed citations
18.
Zhou, Yan, Na Dong, Liyan Hu, & Feng Shao. (2013). The Shigella Type Three Secretion System Effector OspG Directly and Specifically Binds to Host Ubiquitin for Activation. PLoS ONE. 8(2). e57558–e57558. 47 indexed citations
19.
Hu, Liyan, et al.. (2012). Phytohemagglutinin stimulation of lymphocytes improves mutation analysis of carbamoylphosphate synthetase 1. Molecular Genetics and Metabolism. 106(3). 375–378. 18 indexed citations
20.
Zhu, Yongqun, Hongtao Li, Chengzu Long, et al.. (2007). Structural Insights into the Enzymatic Mechanism of the Pathogenic MAPK Phosphothreonine Lyase. Molecular Cell. 28(5). 899–913. 113 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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