Jiwei Hu

1.1k total citations
102 papers, 793 citations indexed

About

Jiwei Hu is a scholar working on Molecular Biology, Genetics and Animal Science and Zoology. According to data from OpenAlex, Jiwei Hu has authored 102 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 42 papers in Genetics and 28 papers in Animal Science and Zoology. Recurrent topics in Jiwei Hu's work include Animal Nutrition and Physiology (26 papers), Reproductive Biology and Fertility (21 papers) and Genetic and phenotypic traits in livestock (19 papers). Jiwei Hu is often cited by papers focused on Animal Nutrition and Physiology (26 papers), Reproductive Biology and Fertility (21 papers) and Genetic and phenotypic traits in livestock (19 papers). Jiwei Hu collaborates with scholars based in China, Taiwan and Estonia. Jiwei Hu's co-authors include Jiwen Wang, Liang Li, Shenqiang Hu, Hehe Liu, Hua He, Bo Hu, Yan Deng, Chunchun Han, Xiang Gan and Jiamin Qiu and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Jiwei Hu

96 papers receiving 793 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiwei Hu China 16 308 248 229 153 97 102 793
Chunchun Han China 20 508 1.6× 247 1.0× 244 1.1× 137 0.9× 79 0.8× 113 1.1k
Shenqiang Hu China 17 435 1.4× 293 1.2× 236 1.0× 278 1.8× 122 1.3× 136 1.1k
Xihui Sheng China 17 344 1.1× 157 0.6× 176 0.8× 192 1.3× 163 1.7× 64 821
Yanfen Ma China 19 590 1.9× 483 1.9× 153 0.7× 193 1.3× 84 0.9× 66 1.2k
Hemin Ni China 16 335 1.1× 143 0.6× 132 0.6× 139 0.9× 134 1.4× 56 716
Daoqing Gong China 18 471 1.5× 192 0.8× 247 1.1× 152 1.0× 29 0.3× 82 981
Dagan Mao China 13 261 0.8× 114 0.5× 64 0.3× 71 0.5× 88 0.9× 51 707
Ranran Liu China 21 391 1.3× 385 1.6× 348 1.5× 120 0.8× 31 0.3× 48 1.0k
M. Szydłowski Poland 18 229 0.7× 563 2.3× 269 1.2× 118 0.8× 43 0.4× 72 923
Longfei Xiao China 15 236 0.8× 77 0.3× 120 0.5× 68 0.4× 179 1.8× 71 712

Countries citing papers authored by Jiwei Hu

Since Specialization
Citations

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

Fields of papers citing papers by Jiwei Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiwei Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiwei Hu. A scholar is included among the top collaborators of Jiwei Hu 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 Jiwei Hu. Jiwei Hu 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.
Hu, Shenqiang, Guoming Li, Xiaopeng Li, et al.. (2025). Transcriptome analysis of testis and epididymis identifies key genes and pathways regulating gander sperm motility. Poultry Science. 104(4). 105012–105012. 1 indexed citations
2.
Yang, Xi, Jingjing Qi, Yutian Zeng, et al.. (2025). Mapping multitissue regulatory variants reveals a liver-centric coexpression network associated with duck egg-laying performance. Genome Research. 35(10). 2211–2225.
3.
Li, Guoming, Zhaoyan Chen, Xiangfeng Wang, et al.. (2025). Identification of the crucial circ-mi-mRNA interaction networks regulating testicular development and spermatogenesis in ganders. Poultry Science. 104(3). 104863–104863.
4.
Yang, Qinglan, Hehe Liu, Han Xu, et al.. (2024). Genome-wide association study for bone quality of ducks during the laying period. Poultry Science. 103(5). 103575–103575. 2 indexed citations
5.
Hu, Xinyue, Xi Zhang, Shenqiang Hu, et al.. (2024). Combined analyses of mRNA and miRNA transcriptome reveal the molecular mechanisms of theca cells physiological differences in geese follicular selection stage. Poultry Science. 103(12). 104402–104402. 1 indexed citations
6.
Hu, Shenqiang, Xiaopeng Li, Qingliang Chen, et al.. (2024). Comparative transcriptomics analysis identifies crucial genes and pathways during goose spleen development. Frontiers in Immunology. 15. 1327166–1327166. 3 indexed citations
7.
Gao, Guangliang, Rui Liu, Silu Hu, et al.. (2024). Exploring the dynamic three-dimensional chromatin architecture and transcriptional landscape in goose liver tissues underlying metabolic adaptations induced by a high-fat diet. Journal of Animal Science and Biotechnology. 15(1). 60–60. 1 indexed citations
8.
Hu, Shenqiang, Qingliang Chen, Jiwei Hu, et al.. (2023). Role of SNPs located in the exon 9 of ATAPA1 gene on goose egg production. Poultry Science. 102(4). 102488–102488. 3 indexed citations
9.
Jiang, Dongmei, Xin Wang, Liang Li, et al.. (2023). Ferritin heavy chain participated in ameliorating 3-nitropropionic acid-induced oxidative stress and apoptosis of goose follicular granulosa cells. Poultry Science. 102(5). 102606–102606. 5 indexed citations
10.
Zhu, Lipeng, Junqi Wang, Jiwei Hu, et al.. (2023). Comparative transcriptome analysis identified crucial genes and pathways affecting sperm motility in the reproductive tract of drakes with different libido. Poultry Science. 102(4). 102560–102560. 5 indexed citations
11.
Hu, Shenqiang, Xi Zhang, Xuejian Li, et al.. (2023). miR-202-5p Inhibits Lipid Metabolism and Steroidogenesis of Goose Hierarchical Granulosa Cells by Targeting ACSL3. Animals. 13(3). 325–325. 13 indexed citations
12.
Hu, Shenqiang, Xin Zhang, Wanxia Wang, et al.. (2023). Effects and Mechanisms of Cage versus Floor Rearing System on Goose Growth Performance and Immune Status. Animals. 13(16). 2682–2682. 3 indexed citations
13.
14.
Huang, Kailiang, Shenqiang Hu, Gang Lan, et al.. (2022). Integrated Transcriptome and Metabolome Analysis Reveals the Regulatory Mechanisms of FASN in Geese Granulosa Cells. International Journal of Molecular Sciences. 23(23). 14717–14717. 10 indexed citations
15.
Liu, Hehe, Liang Li, Shenqiang Hu, et al.. (2022). Study on the effect of different types of sugar on lipid deposition in goose fatty liver. Poultry Science. 101(4). 101729–101729. 14 indexed citations
16.
Deng, Yan, Shenqiang Hu, Bo Hu, et al.. (2021). Identification of polymorphic loci in the deiodinase 2 gene and their associations with head dimensions in geese. Animal Bioscience. 35(5). 639–647. 1 indexed citations
17.
Deng, Yan, Jiamin Qiu, Shenqiang Hu, et al.. (2021). Oestrogen promotes lipids transportation through oestrogen receptor α in hepatic steatosis of geese in vitro. Journal of Animal Physiology and Animal Nutrition. 106(3). 552–560. 1 indexed citations
18.
19.
Ding, Fang, Jiamin Qiu, Qingqing Li, et al.. (2015). Effects of rosiglitazone on proliferation and differentiation of duck preadipocytes. In Vitro Cellular & Developmental Biology - Animal. 52(2). 174–181. 5 indexed citations
20.
Hsu, Shu-Yuan, et al.. (2013). Transgenic mice expressing mutant Pinin exhibit muscular dystrophy, nebulin deficiency and elevated expression of slow-type muscle fiber genes. Biochemical and Biophysical Research Communications. 443(1). 313–320. 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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