Ranran Liu

4.0k total citations
87 papers, 2.6k citations indexed

About

Ranran Liu is a scholar working on Animal Science and Zoology, Genetics and Plant Science. According to data from OpenAlex, Ranran Liu has authored 87 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Animal Science and Zoology, 22 papers in Genetics and 18 papers in Plant Science. Recurrent topics in Ranran Liu's work include Animal Nutrition and Physiology (30 papers), Genetic and phenotypic traits in livestock (20 papers) and Genetic Mapping and Diversity in Plants and Animals (11 papers). Ranran Liu is often cited by papers focused on Animal Nutrition and Physiology (30 papers), Genetic and phenotypic traits in livestock (20 papers) and Genetic Mapping and Diversity in Plants and Animals (11 papers). Ranran Liu collaborates with scholars based in China, Ireland and United Kingdom. Ranran Liu's co-authors include Jie Wen, Guiping Zhao, Maiqing Zheng, Jie Song, Huanxian Cui, Qinghe Li, Weiwei Shi, Yange Xu, Jilan Chen and Yanfa Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ranran Liu

83 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ranran Liu China 28 712 703 702 622 263 87 2.6k
Ping Yan China 25 737 1.0× 1.0k 1.5× 278 0.4× 170 0.3× 378 1.4× 228 2.5k
Meng-Hua Li China 28 1.1k 1.5× 594 0.8× 144 0.2× 431 0.7× 428 1.6× 108 2.4k
Le Wang China 30 753 1.1× 701 1.0× 100 0.1× 343 0.6× 102 0.4× 110 2.6k
Na Yu China 30 295 0.4× 1.6k 2.3× 162 0.2× 399 0.6× 252 1.0× 120 3.2k
Yves Y. Nys France 37 405 0.6× 727 1.0× 2.0k 2.8× 563 0.9× 79 0.3× 84 3.9k
Troy Ott United States 45 1.4k 2.0× 738 1.0× 526 0.7× 99 0.2× 239 0.9× 118 5.6k
Yves Y. Nys France 33 423 0.6× 460 0.7× 1.8k 2.6× 504 0.8× 60 0.2× 58 3.1k
Seyed Vali Hosseini Iran 22 465 0.7× 992 1.4× 391 0.6× 119 0.2× 35 0.1× 57 2.8k
Yuhua Wang China 30 198 0.3× 1.2k 1.8× 79 0.1× 1.2k 1.9× 143 0.5× 167 3.3k
Yi Zou China 29 142 0.2× 509 0.7× 286 0.4× 723 1.2× 56 0.2× 118 3.3k

Countries citing papers authored by Ranran Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ranran Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ranran Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ranran Liu. A scholar is included among the top collaborators of Ranran Liu 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 Ranran Liu. Ranran Liu 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.
Liu, Ranran, Qiong Yu, Jianrong Guo, et al.. (2024). Combined genome and transcriptome provides insight into the genetic evolution of an edible halophyte Suaeda salsa adaptation to high salinity. Molecular Ecology. 34(15). e17457–e17457. 6 indexed citations
2.
Tang, Xinxin, Ying Fan, Dawei Liu, et al.. (2024). Metabolomic analysis reveals the molecular mechanism related to leg abnormality in broilers. SHILAP Revista de lepidopterología. 3(4). 368–378. 4 indexed citations
3.
Ma, Xiaochun, Ying Fan, Mengjie Wang, et al.. (2024). New insights into the genetic loci related to egg weight and age at first egg traits in broiler breeder. Poultry Science. 103(5). 103613–103613. 12 indexed citations
4.
Dong, Tingting, Mingku Zhu, Dan Du, et al.. (2024). Transcriptome- and genome-wide systematic identification of expansin gene family and their expression in tuberous root development and stress responses in sweetpotato (Ipomoea batatas). Frontiers in Plant Science. 15. 1412540–1412540. 3 indexed citations
5.
Liu, Ranran, Xiuping Wang, Huanxian Cui, et al.. (2024). Genome-wide association analysis identify candidate genes for feed efficiency and growth traits in Wenchang chickens. BMC Genomics. 25(1). 645–645. 7 indexed citations
6.
Sun, Jiahong, Xiaodong Tan, Di Zhao, et al.. (2023). Integrated metabolomics and lipidomics evaluate the alterations of flavor precursors in chicken breast muscle with white striping symptom. Frontiers in Physiology. 13. 1079667–1079667. 8 indexed citations
7.
Liu, Ranran, Mengjie Wang, Qiao Wang, et al.. (2023). Combined effect of microbially derived cecal SCFA and host genetics on feed efficiency in broiler chickens. Microbiome. 11(1). 198–198. 28 indexed citations
8.
9.
Zhang, Ying, Xiaobin Dong, Xuechao Wang, et al.. (2022). Study on the Relationship between Low-Carbon Circular Farming and Animal Husbandry Models and Human Well-Being: A Case Study of Yongchang County, Gansu Province. Sustainability. 14(14). 8230–8230. 4 indexed citations
10.
Liu, Ranran, Siyuan Xing, Jiahong Sun, et al.. (2022). Dominant changes in the breast muscle lipid profiles of broiler chickens with wooden breast syndrome revealed by lipidomics analyses. Journal of Animal Science and Biotechnology. 13(1). 93–93. 25 indexed citations
11.
Liu, Ranran, et al.. (2021). The positive effect of salinity on nitrate uptake in Suaeda salsa. Plant Physiology and Biochemistry. 166. 958–963. 16 indexed citations
12.
Zhao, Guiping, Jiahong Sun, Xicai Wang, et al.. (2021). Serum Creatine Kinase as a Biomarker to Predict Wooden Breast in vivo for Chicken Breeding. Frontiers in Physiology. 12. 711711–711711. 17 indexed citations
13.
14.
Sun, Weiwei, Ranran Liu, Qinghe Li, et al.. (2019). Chicken gga-miR-1306-5p targets Tollip and plays an important role in host response against Salmonella enteritidis infection. Journal of Animal Science and Biotechnology. 10(1). 59–59. 17 indexed citations
15.
Liu, Lu, Xiaojing Liu, Huanxian Cui, et al.. (2019). Transcriptional insights into key genes and pathways controlling muscle lipid metabolism in broiler chickens. BMC Genomics. 20(1). 863–863. 86 indexed citations
16.
Liu, Ranran, et al.. (2018). Effect of nursing intervention on women with overactive bladder: a systematic review. ˜The œJournal of practical nursing. 34(12). 917–920.
17.
Yang, Hui, Ranran Liu, Dan Cui, et al.. (2017). Analysis on the expression and function of a chicken-type and goose-type lysozymes in Chinese giant salamanders Andrias davidianus. Developmental & Comparative Immunology. 72. 69–78. 10 indexed citations
18.
Wang, Fengxia, Yange Xu, Shuai Wang, et al.. (2015). Salinity affects production and salt tolerance of dimorphic seeds of Suaeda salsa. Plant Physiology and Biochemistry. 95. 41–48. 107 indexed citations
19.
Bai, Hao, Jing Zhu, Yanyan Sun, et al.. (2014). Identification of Genes Related to Beak Deformity of Chickens Using Digital Gene Expression Profiling. PLoS ONE. 9(9). e107050–e107050. 23 indexed citations
20.
Sun, Yanfa, Ranran Liu, Lei Zhang, et al.. (2013). Genome-wide Association Study on Shank Length and Shank Girth in Chicken. Xumu shouyi xuebao. 44(3). 358–365. 4 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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