Liguo Yang

3.0k total citations
134 papers, 2.2k citations indexed

About

Liguo Yang is a scholar working on Genetics, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Liguo Yang has authored 134 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Genetics, 55 papers in Agronomy and Crop Science and 32 papers in Molecular Biology. Recurrent topics in Liguo Yang's work include Genetic and phenotypic traits in livestock (42 papers), Reproductive Physiology in Livestock (42 papers) and Reproductive Biology and Fertility (27 papers). Liguo Yang is often cited by papers focused on Genetic and phenotypic traits in livestock (42 papers), Reproductive Physiology in Livestock (42 papers) and Reproductive Biology and Fertility (27 papers). Liguo Yang collaborates with scholars based in China, Pakistan and Egypt. Liguo Yang's co-authors include Guohua Hua, Aixin Liang, Wucai Yang, Feng Guan, Shi Guo-qing, Keqiong Tang, Shilin Chen, Guo Hua, Tingxian Deng and Hasan Riaz and has published in prestigious journals such as PLoS ONE, Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Liguo Yang

133 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liguo Yang China 27 1.1k 652 542 405 299 134 2.2k
Liguo Yang China 25 509 0.5× 359 0.6× 612 1.1× 377 0.9× 151 0.5× 106 1.7k
Linsen Zan China 32 1.0k 0.9× 418 0.6× 1.3k 2.4× 332 0.8× 450 1.5× 197 3.1k
Francisco Peñagaricano United States 27 1.9k 1.7× 1.2k 1.9× 714 1.3× 285 0.7× 611 2.0× 138 3.1k
Tao Feng China 25 669 0.6× 280 0.4× 817 1.5× 255 0.6× 114 0.4× 140 2.1k
K.‐P. Brüssow Germany 26 394 0.4× 552 0.8× 467 0.9× 795 2.0× 384 1.3× 138 2.4k
Sellappan Selvaraju India 27 495 0.4× 425 0.7× 363 0.7× 823 2.0× 229 0.8× 101 2.2k
Hugo H. Ortega Argentina 27 522 0.5× 1.2k 1.8× 472 0.9× 1.1k 2.7× 231 0.8× 180 2.7k
Giuseppe Campanile Italy 32 1.7k 1.6× 2.0k 3.1× 532 1.0× 1.1k 2.6× 812 2.7× 183 3.5k
Gianluca Neglia Italy 32 1.5k 1.4× 1.8k 2.8× 450 0.8× 1.0k 2.6× 754 2.5× 161 3.2k
T. Wise United States 25 932 0.8× 560 0.9× 297 0.5× 504 1.2× 252 0.8× 84 1.9k

Countries citing papers authored by Liguo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Liguo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liguo Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Liguo Yang. A scholar is included among the top collaborators of Liguo Yang 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 Liguo Yang. Liguo Yang 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, Xinxin, et al.. (2024). A New Method to Detect Buffalo Mastitis Using Udder Ultrasonography Based on Deep Learning Network. Animals. 14(5). 707–707. 5 indexed citations
2.
Riaz, Umair, et al.. (2024). The Potential of Infrared Thermography for Early Pregnancy Diagnosis in Nili-Ravi Buffaloes. Animals. 14(13). 1966–1966. 4 indexed citations
3.
Yang, Liguo, et al.. (2023). Effects of Different Bedding Materials on Production Performance, Lying Behavior and Welfare of Dairy Buffaloes. Animals. 13(5). 842–842. 2 indexed citations
4.
5.
Zhang, Xinxin, et al.. (2023). Identification of Milk Adulteration in Camel Milk Using FT-Mid-Infrared Spectroscopy and Machine Learning Models. Foods. 12(24). 4517–4517. 14 indexed citations
6.
Shaukat, Aftab, et al.. (2022). Evolutionary and Association Analysis of Buffalo FABP Family Genes Reveal Their Potential Role in Milk Performance. Genes. 13(4). 600–600. 8 indexed citations
7.
Deng, Tingxian, et al.. (2022). Novel functional mutation of the PDIA3 gene affects milk composition traits in Chinese Holstein cattle. Journal of Dairy Science. 105(6). 5153–5166. 2 indexed citations
8.
Yang, Liguo, Ailing Wang, Li Lu, et al.. (2021). Sphingosine-1-phosphate induces myocyte autophagy after myocardial infarction through mTOR inhibition. European Journal of Pharmacology. 907. 174260–174260. 15 indexed citations
9.
Safdar, Muhammad, Aixin Liang, Shahid Ali Rajput, et al.. (2021). Orexin-A Regulates Follicular Growth, Proliferation, Cell Cycle and Apoptosis in Mouse Primary Granulosa Cells via the AKT/ERK Signaling Pathway. Molecules. 26(18). 5635–5635. 22 indexed citations
10.
Sun, Hui, Muhammad Jamil Ahmad, Nasser Ghanem, et al.. (2021). Genetic Features of Reproductive Traits in Bovine and Buffalo: Lessons From Bovine to Buffalo. Frontiers in Genetics. 12. 617128–617128. 29 indexed citations
11.
Ma, Xiaoya, Jichao Li, Feng Lin, et al.. (2021). Transcriptome-Wide m6A Analysis Provides Novel Insights Into Testicular Development and Spermatogenesis in Xia-Nan Cattle. Frontiers in Cell and Developmental Biology. 9. 791221–791221. 10 indexed citations
12.
Li, Jun, Giuseppe Campanile, Graham Plastow, et al.. (2018). Novel insights into the genetic basis of buffalo reproductive performance. BMC Genomics. 19(1). 814–814. 30 indexed citations
13.
Liu, Wu, et al.. (2018). The burden of brucellosis in Jingyuan County of Gansu Province and influencing factors. Chin J Endemiol. 37(5). 389–394. 1 indexed citations
14.
Peng, Xiaoli, Kai Li, Xunping Jiang, et al.. (2018). Potent effect of KISS1-54 DNA vaccine compared with KISS1-10 DNA vaccine in inhibiting the fertility of female rats. Vaccine. 36(45). 6631–6639. 2 indexed citations
16.
Ren, Yuwei, Faheem Ahmed Khan, Nuruliarizki Shinta Pandupuspitasari, et al.. (2016). Highly Pathogenic Porcine Reproductive and Respiratory Syndrome Virus Modulates Interferon-β Expression Mainly Through Attenuating Interferon-Regulatory Factor 3 Phosphorylation. DNA and Cell Biology. 35(9). 489–497. 3 indexed citations
17.
Yaqoob, Muhammad, et al.. (2012). Factors affecting yield and composition of camel milk kept under desert conditions of central Punjab, Pakistan. Tropical Animal Health and Production. 44(7). 1403–1410. 24 indexed citations
18.
Yang, Wucai, Li Han, Aixin Liang, et al.. (2011). An immunological method to screen sex-specific proteins of bovine sperm. Journal of Dairy Science. 94(4). 2060–2070. 24 indexed citations
19.
Tang, Keqiong, Shujing Li, Wucai Yang, et al.. (2010). An MspI polymorphism in the inhibin alpha gene and its associations with superovulation traits in Chinese Holstein cows. Molecular Biology Reports. 38(1). 17–21. 22 indexed citations
20.
Guan, Feng, et al.. (2009). Research progress on genetic diversity of sheep <I>PRNP</I> and resistance breeding. Hereditas (Beijing). 31(2). 137–141.

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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