Guoming Liang

429 total citations
9 papers, 257 citations indexed

About

Guoming Liang is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Guoming Liang has authored 9 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cancer Research and 1 paper in Infectious Diseases. Recurrent topics in Guoming Liang's work include Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (4 papers) and Gut microbiota and health (3 papers). Guoming Liang is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (4 papers) and Gut microbiota and health (3 papers). Guoming Liang collaborates with scholars based in China, United States and Poland. Guoming Liang's co-authors include Zhonglin Tang, Yalan Yang, Kui Li, Guanglin Niu, Junyu Yan, Yanfang Wang, Rong Zhou, Yulian Mu, Yuanyuan Zhang and Zishuai Wang and has published in prestigious journals such as Scientific Reports, Frontiers in Microbiology and Journal of Cachexia Sarcopenia and Muscle.

In The Last Decade

Guoming Liang

9 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guoming Liang China 7 229 179 22 16 12 9 257
Dinghui Dai China 11 254 1.1× 192 1.1× 69 3.1× 17 1.1× 14 1.2× 31 406
Xuemei Yang China 9 104 0.5× 77 0.4× 28 1.3× 13 0.8× 17 1.4× 23 202
Caroline Morgenthaler France 8 121 0.5× 86 0.5× 112 5.1× 26 1.6× 28 2.3× 9 277
Silu Hu China 9 169 0.7× 92 0.5× 96 4.4× 33 2.1× 25 2.1× 26 255
Jana Obšteter Slovenia 7 119 0.5× 125 0.7× 62 2.8× 9 0.6× 4 0.3× 15 215
Fanny De Vloed Belgium 3 137 0.6× 30 0.2× 16 0.7× 4 0.3× 5 0.4× 4 169
Shengli Zhang China 10 113 0.5× 149 0.8× 124 5.6× 19 1.2× 8 0.7× 17 267
Jianning He China 12 137 0.6× 157 0.9× 153 7.0× 29 1.8× 15 1.3× 33 351
Yingting He China 11 116 0.5× 86 0.5× 107 4.9× 16 1.0× 9 0.8× 21 256
Xiangchun Pan China 9 117 0.5× 66 0.4× 64 2.9× 6 0.4× 11 0.9× 20 206

Countries citing papers authored by Guoming Liang

Since Specialization
Citations

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

Fields of papers citing papers by Guoming Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoming Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Guoming Liang. A scholar is included among the top collaborators of Guoming Liang 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 Guoming Liang. Guoming Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Wang, Haizhen, Juan Liu, Xiaona Zhang, et al.. (2022). Expression patterns and functional analysis of porcine lnc-34015. Animal Biotechnology. 34(7). 2251–2261. 2 indexed citations
2.
Ge, Xusheng, Xiaona Zhang, Chunbo Cai, et al.. (2022). Effects of Maternal Factors and Postpartum Environment on Early Colonization of Intestinal Microbiota in Piglets. Frontiers in Veterinary Science. 9. 815944–815944. 6 indexed citations
3.
Lu, Chang, Chunbo Cai, Yang Yang, et al.. (2022). Integrated Omics Analysis Reveals Alterations in the Intestinal Microbiota and Metabolites of Piglets After Starvation. Frontiers in Microbiology. 13. 881099–881099. 1 indexed citations
4.
Lu, Chang, Shu Wang, Chunbo Cai, et al.. (2021). Comparative Evaluation of the Ileum Microbiota Composition in Piglets at Different Growth Stages. Frontiers in Microbiology. 12. 765691–765691. 8 indexed citations
5.
Yan, Junyu, Yalan Yang, Xinhao Fan, et al.. (2021). circRNAome profiling reveals circFgfr2 regulates myogenesis and muscle regeneration via a feedback loop. Journal of Cachexia Sarcopenia and Muscle. 13(1). 696–712. 50 indexed citations
6.
Liang, Guoming, et al.. (2020). Identification of Ovarian Circular RNAs and Differential Expression Analysis between MeiShan and Large White Pigs. Animals. 10(7). 1114–1114. 17 indexed citations
7.
Liang, Guoming, et al.. (2018). LncRNAnet: a comprehensive Sus scrofa lncRNA database. Animal Genetics. 49(6). 632–635. 12 indexed citations
8.
Yang, Yalan, Guoming Liang, Guanglin Niu, et al.. (2017). Comparative analysis of DNA methylome and transcriptome of skeletal muscle in lean-, obese-, and mini-type pigs. Scientific Reports. 7(1). 39883–39883. 44 indexed citations
9.
Liang, Guoming, Yalan Yang, Guanglin Niu, Zhonglin Tang, & Kui Li. (2017). Genome-wide profiling of Sus scrofa circular RNAs across nine organs and three developmental stages. DNA Research. 24(5). 523–535. 117 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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