Jingwei Yuan

1.4k total citations
66 papers, 884 citations indexed

About

Jingwei Yuan is a scholar working on Genetics, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, Jingwei Yuan has authored 66 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Genetics, 26 papers in Animal Science and Zoology and 14 papers in Molecular Biology. Recurrent topics in Jingwei Yuan's work include Genetic and phenotypic traits in livestock (26 papers), Animal Nutrition and Physiology (26 papers) and Genetic Mapping and Diversity in Plants and Animals (14 papers). Jingwei Yuan is often cited by papers focused on Genetic and phenotypic traits in livestock (26 papers), Animal Nutrition and Physiology (26 papers) and Genetic Mapping and Diversity in Plants and Animals (14 papers). Jingwei Yuan collaborates with scholars based in China, Nigeria and United States. Jingwei Yuan's co-authors include Ning Yang, Congjiao Sun, Wei Yan, Lujiang Qu, Guoqiang Yi, Kehua Wang, Taocun Dou, Manman Shen, Jilan Chen and Meng Ma and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Chemical Communications.

In The Last Decade

Jingwei Yuan

55 papers receiving 869 citations

Peers

Jingwei Yuan

ASZ

GENET

J. M. Young United States

Pengfei Huang China

Andrzej Dybus Poland

Chiu-Ming Wen Taiwan

Supamit Mekchay Thailand

Donata Marletta Italy

Arash Javanmard Iran

J. M. Young United States

Jingwei Yuan

444 ×0.9

ASZ

281 ×0.7

GENET

135 ×0.5

44 ×0.5

71 ×0.9

Citations per year, relative to Jingwei Yuan Jingwei Yuan (= 1×) peers J. M. Young

Countries citing papers authored by Jingwei Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Jingwei Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingwei Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Jingwei Yuan. A scholar is included among the top collaborators of Jingwei Yuan 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 Jingwei Yuan. Jingwei Yuan 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

Ni, Aixin, M.P.L. Calus, Yunlei Li, et al.. (2025). Identifying candidate genetic variants for egg number by analyzing over 1,000 fully sequenced layers. GigaScience. 14. 1 indexed citations

Yang, Yuze, Xiaoke Zhang, Dexin Wang, et al.. (2025). Research note: Genetic parameters estimation of egg quality traits in Beijing-You chickens. Poultry Science. 104(8). 105294–105294.

Xue, Fuguang, Pan Ma, Yunlei Li, et al.. (2025). Regulatory effects of the bidirectional crosstalk between hepatic gene expressions and gut microbiota on the productive performances and egg quality of induced molting treated layer hens. Poultry Science. 104(6). 105135–105135.

Li, Yunlei, Yunhe Zong, Aixin Ni, et al.. (2025). Research note: Chicken seminal plasma metabolome and fertility-enhancing effects of l-carnitine supplementation in semen. Poultry Science. 104(10). 105642–105642. 1 indexed citations

Li, Yunlei, Yanyan Sun, Aixin Ni, et al.. (2025). Factor Analysis of Semen Quality in Chicken and Its Impact on Fertility. Animals. 15(13). 1906–1906. 1 indexed citations

Li, Yunlei, Yunhe Zong, Yi Zhao, et al.. (2024). Key miRNAs of chicken seminal plasma extracellular vesicles related with sperm motility regulation. International Journal of Biological Macromolecules. 277. 134022–134022. 4 indexed citations

Li, Yunlei, Yanyan Sun, Jingwei Yuan, et al.. (2024). Fresh insights into the light‐induced pineal gland circadian rhythm transmission mechanism derived from mRNA and miRNA profiling. 4(1). 36–54. 3 indexed citations

Yuan, Jingwei, Li Qin, Yanyan Sun, et al.. (2024). Multi-tissue transcriptome profiling linked the association between tissue-specific circRNAs and the heterosis for feed intake and efficiency in chicken. Poultry Science. 103(7). 103783–103783. 1 indexed citations

You, Z.‐B., Jingwei Yuan, Yuanmei Wang, et al.. (2024). Integrated transcriptomic analysis on chicken ovary reveals CYP21A1 affects follicle granulosa cell development and steroid hormone synthesis. Poultry Science. 103(5). 103589–103589. 8 indexed citations

10.

Yuan, Jingwei, Yanyan Sun, Aixin Ni, et al.. (2023). Genome-wide circular RNAs signatures involved in sexual maturation and its heterosis in chicken. Journal of Integrative Agriculture. 2 indexed citations

11.

Ma, Hui, Yunlei Li, Aixin Ni, et al.. (2023). Supplementation of exogenous bile acids improve antitrichomonal activity and enhance intestinal health in pigeon (Columba livia). Poultry Science. 102(7). 102722–102722. 3 indexed citations

12.

Sun, Yanyan, Yuanmei Wang, Yunlei Li, et al.. (2023). Transcriptome analysis of ovarian tissues highlights genes controlling energy homeostasis and oxidative stress as potential drivers of heterosis for egg number and clutch size in crossbred laying hens. Poultry Science. 103(1). 103163–103163.

13.

Shi, Lei, Yunlei Li, Hui Ma, et al.. (2023). Characterization of clutch traits and egg production in six chicken breeds. Animal Bioscience. 36(6). 899–907. 4 indexed citations

14.

Yuan, Jingwei, Yanyan Sun, Yuanmei Wang, et al.. (2023). The mRNA-lncRNA landscape of multiple tissues uncovers key regulators and molecular pathways that underlie heterosis for feed intake and efficiency in laying chickens. Genetics Selection Evolution. 55(1). 69–69. 6 indexed citations

15.

Ni, Aixin, M.P.L. Calus, Henk Bovenhuis, et al.. (2023). Genetic parameters, reciprocal cross differences, and age-related heterosis of egg-laying performance in chickens. Genetics Selection Evolution. 55(1). 87–87. 13 indexed citations

16.

Zong, Yunhe, Yanyan Sun, Yunlei Li, et al.. (2022). Effect of glycerol concentration, glycerol removal method, and straw type on the quality and fertility of frozen chicken semen. Poultry Science. 101(6). 101840–101840. 12 indexed citations

17.

Wang, Yuanmei, Yanyan Sun, Aixin Ni, et al.. (2022). Research Note: Heterosis for egg production and oviposition pattern in reciprocal crossbreeds of indigenous and elite laying chickens. Poultry Science. 101(12). 102201–102201. 13 indexed citations

18.

Ma, Hui, Yunlei Li, Aixin Ni, et al.. (2022). Analyses of circRNAs profiles of the lactating and nonlactating crops in pigeon (Columba livia). Poultry Science. 102(3). 102464–102464. 3 indexed citations

19.

Ma, Hui, Yunlei Li, Aixin Ni, et al.. (2020). Identification of microRNA-Associated-ceRNA Networks Regulating Crop Milk Production in Pigeon (Columba livia). Genes. 12(1). 39–39. 17 indexed citations

20.

Okoye, Martin Onyeka, Junyou Yang, Jingwei Yuan, et al.. (2020). Predictive Reliability Assessment of Generation System. Energies. 13(17). 4350–4350. 8 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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