Guobin Chang

1.3k total citations
110 papers, 726 citations indexed

About

Guobin Chang is a scholar working on Molecular Biology, Animal Science and Zoology and Genetics. According to data from OpenAlex, Guobin Chang has authored 110 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 44 papers in Animal Science and Zoology and 29 papers in Genetics. Recurrent topics in Guobin Chang's work include Animal Nutrition and Physiology (35 papers), Genetic and phenotypic traits in livestock (18 papers) and Cancer-related molecular mechanisms research (16 papers). Guobin Chang is often cited by papers focused on Animal Nutrition and Physiology (35 papers), Genetic and phenotypic traits in livestock (18 papers) and Cancer-related molecular mechanisms research (16 papers). Guobin Chang collaborates with scholars based in China, Maldives and Japan. Guobin Chang's co-authors include Guohong Chen, Hao Bai, Yulin Bi, Qi Xu, Qixin Guo, Zhixiu Wang, Guohong Chen, Yong Jiang, Wenming Zhao and Guohong Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.

In The Last Decade

Guobin Chang

101 papers receiving 711 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guobin Chang China	15	299	279	191	126	72	110	726
Guohong Chen China	17	418 1.4×	404 1.4×	193 1.0×	129 1.0×	65 0.9×	101	869
Fang‐Xi Yang China	12	163 0.5×	204 0.7×	268 1.4×	79 0.6×	118 1.6×	25	588
Ikhide G. Imumorin United States	20	277 0.9×	253 0.9×	669 3.5×	109 0.9×	101 1.4×	63	1.2k
V.K. Saxena India	17	348 1.2×	162 0.6×	137 0.7×	41 0.3×	58 0.8×	73	751
Andrea Verini Supplizi Italy	19	290 1.0×	338 1.2×	305 1.6×	55 0.4×	46 0.6×	54	1.1k
Monika Sodhi India	20	289 1.0×	383 1.4×	685 3.6×	149 1.2×	58 0.8×	93	1.2k
J. de O. Peixoto Brazil	15	293 1.0×	242 0.9×	393 2.1×	103 0.8×	92 1.3×	64	775
Shijun Li China	15	110 0.4×	343 1.2×	292 1.5×	96 0.8×	29 0.4×	34	797
Manjit Panigrahi India	18	196 0.7×	181 0.6×	758 4.0×	247 2.0×	66 0.9×	133	1.1k
Christa F. Honaker United States	17	471 1.6×	194 0.7×	302 1.6×	22 0.2×	107 1.5×	44	782

Countries citing papers authored by Guobin Chang

Since Specialization

Citations

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

Fields of papers citing papers by Guobin Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guobin Chang

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

All Works

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20 of 20 papers shown

Qiu, Lingling, Haojie Wang, Wenhao Li, et al.. (2025). Analysis of the Transcriptional Control of Bcl11b in Chicken: IRF1 and GATA1 as Negative Regulators. Animals. 15(5). 665–665.

Wang, Yingying, et al.. (2025). ATG5 negatively regulates grass carp reovirus-induced immune-inflammatory response by degrading RIG-I and MDA5. Journal of Virology. 99(7). e0034425–e0034425.

Wu, Lei, Yongpeng Li, Minghong Xu, et al.. (2024). Threonine modulates the STAT3-SCD1 pathway to reduce fatty acid metabolism in duck hepatocytes. Poultry Science. 103(12). 104444–104444.

Jiang, Yong, et al.. (2024). Effects of Sex on Growth Performance, Carcass Traits, Blood Biochemical Parameters, and Meat Quality of XueShan Chickens. Animals. 14(11). 1556–1556. 2 indexed citations

Yang, Yunfeng, Jiaming Mao, Tingting Zhou, et al.. (2024). RNA-Seq Analysis Revealed circRNAs and Genes Associated with Abdominal Fat Deposition in Ducks. Animals. 14(2). 260–260. 1 indexed citations

Yang, Ting, Lingling Qiu, Qixin Guo, et al.. (2024). Effect of High Dietary Iron on Fat Deposition and Gut Microbiota in Chickens. Animals. 14(15). 2254–2254. 3 indexed citations

Qiu, Lingling, Lei Chen, Jing Jiang, et al.. (2024). Iron‐Confined CRISPR/Cas9‐Ribonucleoprotein Delivery System for Redox‐Responsive Gene Editing. Small. 20(30). e2309431–e2309431. 4 indexed citations

Yang, Ting, Lingling Qiu, Shihao Chen, et al.. (2023). Combine with RNA-seq Reveals the Effect of Melatonin in the Synthesis of Melanin in Primary Melanocytes of Silky Fowls Black-Bone Chicken. Genes. 14(8). 1648–1648.

Zhang, Yang, Ao Zhang, Ting Yang, et al.. (2022). Metabolomics and Proteomics Characterizing Hepatic Reactions to Dietary Linseed Oil in Duck. International Journal of Molecular Sciences. 23(24). 15690–15690. 4 indexed citations

10.

Jiang, Yong, et al.. (2022). Indigenous, Yellow-Feathered Chickens Body Measurements, Carcass Traits, and Meat Quality Depending on Marketable Age. Animals. 12(18). 2422–2422. 23 indexed citations

11.

Wang, Zhixiu, et al.. (2022). MicroRNA analysis reveals the role of miR-214 in duck adipocyte differentiation. Animal Bioscience. 35(9). 1327–1339. 2 indexed citations

12.

Jiang, Yong, Ming Xie, Zhengkui Zhou, et al.. (2022). Comparative Transcriptome Analysis Reveals the Key Genes Involved in Lipid Deposition in Pekin Ducks (Anas platyrhynchos domesticus). Agriculture. 12(11). 1775–1775. 1 indexed citations

13.

Zhao, Guanghua, et al.. (2022). Prediction of the potential distribution pattern of the great gerbil (Rhombomys opimus) under climate change based on ensemble modelling. Pest Management Science. 78(7). 3128–3134. 27 indexed citations

14.

Wang, Zhixiu, Qianqian Song, Yulin Bi, et al.. (2022). Transcriptome Sequencing to Identify Important Genes and lncRNAs Regulating Abdominal Fat Deposition in Ducks. Animals. 12(10). 1256–1256. 10 indexed citations

15.

Huang, Lan, Yaodong Hu, Qixin Guo, Guobin Chang, & Hao Bai. (2022). Time-Course Transcriptome Landscape of Bursa of Fabricius Development and Degeneration in Chickens. Agriculture. 12(8). 1194–1194. 3 indexed citations

16.

Guo, Qixin, Yong Jiang, Zhixiu Wang, et al.. (2022). Genome-Wide Association Study for Screening and Identifying Potential Shin Color Loci in Ducks. Genes. 13(8). 1391–1391. 2 indexed citations

17.

Bai, Hao, et al.. (2021). Effect of stocking density on performance, meat quality and cecal bacterial communities of yellow feather broilers. Animal Biotechnology. 33(6). 1322–1332. 15 indexed citations

18.

Guo, Qixin, Yong Jiang, Hao Bai, Guohong Chen, & Guobin Chang. (2021). miR-301a-5p Regulates TGFB2 during Chicken Spermatogenesis. Genes. 12(11). 1695–1695. 7 indexed citations

19.

Zhu, Zhen, et al.. (2014). Effects of transport stress and rest before slaughter on blood parameters and meat quality of ducks. Canadian Journal of Animal Science. 94(4). 595–600. 1 indexed citations

20.

Chang, Guobin. (2006). A new method of economic loss evaluation on forest pests. Senlin bingchong tongxun. 1 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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