Jicai Jiang

2.9k total citations
50 papers, 1.4k citations indexed

About

Jicai Jiang is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Jicai Jiang has authored 50 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Genetics, 15 papers in Plant Science and 14 papers in Molecular Biology. Recurrent topics in Jicai Jiang's work include Genetic and phenotypic traits in livestock (31 papers), Genetic Mapping and Diversity in Plants and Animals (25 papers) and Cancer-related molecular mechanisms research (14 papers). Jicai Jiang is often cited by papers focused on Genetic and phenotypic traits in livestock (31 papers), Genetic Mapping and Diversity in Plants and Animals (25 papers) and Cancer-related molecular mechanisms research (14 papers). Jicai Jiang collaborates with scholars based in United States, China and Italy. Jicai Jiang's co-authors include Li Ma, P.M. VanRaden, John B. Cole, Qin Zhang, Jianfeng Liu, Yang Da, Li Jiang, Jiying Wang, Haifei Wang and Dzianis Prakapenka and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Jicai Jiang

47 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jicai Jiang United States 22 1.1k 406 364 292 225 50 1.4k
Yuanmei Guo China 25 1.1k 1.0× 399 1.0× 186 0.5× 363 1.2× 68 0.3× 70 1.5k
Zhangping Yang China 18 441 0.4× 309 0.8× 154 0.4× 323 1.1× 247 1.1× 110 1.1k
Mônica Corrêa Ledur Brazil 24 1.0k 1.0× 397 1.0× 206 0.6× 160 0.5× 100 0.4× 118 1.7k
E. Lipkin Israel 18 693 0.6× 258 0.6× 213 0.6× 149 0.5× 226 1.0× 42 1.0k
Pâmela A. Alexandre Australia 16 482 0.4× 263 0.6× 88 0.2× 187 0.6× 152 0.7× 61 785
Fumio Mukai Japan 20 1.0k 0.9× 303 0.7× 121 0.3× 170 0.6× 289 1.3× 91 1.4k
Manjit Panigrahi India 18 758 0.7× 181 0.4× 66 0.2× 247 0.8× 337 1.5× 133 1.1k
P. C. Tizioto Brazil 18 493 0.5× 266 0.7× 61 0.2× 218 0.7× 163 0.7× 48 854
Jung-Woo Choi South Korea 13 563 0.5× 242 0.6× 186 0.5× 167 0.6× 57 0.3× 45 766
Enqin Zheng China 18 552 0.5× 590 1.5× 61 0.2× 323 1.1× 122 0.5× 93 1.2k

Countries citing papers authored by Jicai Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jicai Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jicai Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jicai Jiang. A scholar is included among the top collaborators of Jicai Jiang 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 Jicai Jiang. Jicai Jiang 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.
Cheng, Xue‐Feng, Jicai Jiang, Shuai Shi, et al.. (2025). K2Cu3(Fe(CN)6)2 In Situ-Modified MXene Nanosheets for Selective Enrichment of Cs+ and the Mechanism. Inorganic Chemistry. 64(10). 4920–4933. 2 indexed citations
2.
He, Sang, Yueting Tang, Xiaolu Qu, et al.. (2025). Systematic benchmarking of tools for structural variation detection using short- and long-read sequencing data in pigs. iScience. 28(3). 111983–111983. 1 indexed citations
3.
Wang, Junjian, Francesco Tiezzi, Yijian Huang, Christian Maltecca, & Jicai Jiang. (2025). Benchmarking of feed-forward neural network models for genomic prediction of quantitative traits in pigs. Frontiers in Genetics. 16. 1618891–1618891.
4.
Jiang, Jicai. (2024). MPH: fast REML for large-scale genome partitioning of quantitative genetic variation. Bioinformatics. 40(5). 2 indexed citations
5.
Maltecca, Christian, et al.. (2024). Effects of germplasm exchange strategies on genetic gain, homozygosity, and genetic diversity in dairy stud populations: A simulation study. Journal of Dairy Science. 107(12). 11149–11163. 2 indexed citations
6.
Cheng, Jian, Christian Maltecca, P.M. VanRaden, et al.. (2023). SLEMM: million-scale genomic predictions with window-based SNP weighting. Bioinformatics. 39(3). 9 indexed citations
7.
Prakapenka, Dzianis, et al.. (2023). A Million-Cow Genome-Wide Association Study of Three Fertility Traits in U.S. Holstein Cows. International Journal of Molecular Sciences. 24(13). 10496–10496. 14 indexed citations
8.
Gaddis, Kristen L. Parker, Francesco Tiezzi, Jicai Jiang, et al.. (2023). Inbreeding depression for producer-recorded udder, metabolic, and reproductive diseases in US dairy cattle. Journal of Dairy Science. 107(5). 3032–3046. 4 indexed citations
9.
Gao, Yahui, R.L. Baldwin, Congjun Li, et al.. (2022). Investigation of rumen long noncoding RNA before and after weaning in cattle. BMC Genomics. 23(1). 531–531. 1 indexed citations
10.
Shen, Botong, Ellen Freebern, Jicai Jiang, et al.. (2021). Effect of Temperature and Maternal Age on Recombination Rate in Cattle. Frontiers in Genetics. 12. 682718–682718. 4 indexed citations
11.
Freebern, Ellen, Daniel Jordan de Abreu Santos, Lingzhao Fang, et al.. (2020). GWAS and fine-mapping of livability and six disease traits in Holstein cattle. BMC Genomics. 21(1). 83 indexed citations
12.
Fang, Lingzhao, Jicai Jiang, Bingjie Li, et al.. (2019). Genetic and epigenetic architecture of paternal origin contribute to gestation length in cattle. Communications Biology. 2(1). 100–100. 43 indexed citations
13.
Jiang, Jicai, Liyuan Ma, Dzianis Prakapenka, et al.. (2018). Extreme antagonistic pleiotropy effects of DGAT1 on fat, milk and protein yields. Proceedings of the World Congress on Genetics Applied to Livestock Production. 142. 2 indexed citations
14.
Jiang, Jicai, Botong Shen, Jeffrey R. O’Connell, et al.. (2017). Dissection of additive, dominance, and imprinting effects for production and reproduction traits in Holstein cattle. BMC Genomics. 18(1). 425–425. 41 indexed citations
15.
Feng, Xiaotian, Jicai Jiang, Abinash Padhi, et al.. (2017). Characterization of genome-wide segmental duplications reveals a common genomic feature of association with immunity among domestic animals. BMC Genomics. 18(1). 293–293. 16 indexed citations
16.
Jiang, Jicai, Jiying Wang, Haifei Wang, et al.. (2014). Global copy number analyses by next generation sequencing provide insight into pig genome variation. BMC Genomics. 15(1). 593–593. 37 indexed citations
17.
Jiang, Li, Xuan Liu, Jie Yang, et al.. (2014). Targeted resequencing of GWAS loci reveals novel genetic variants for milk production traits. BMC Genomics. 15(1). 1105–1105. 65 indexed citations
18.
Jiang, Jicai, et al.. (2012). Differential gene expression profiling of porcine epithelial cells infected with three enterotoxigenic Escherichia coli strains. BMC Genomics. 13(1). 330–330. 51 indexed citations
19.
Jiang, Jicai, Li Jiang, Bin Zhou, et al.. (2011). Snat: a SNP annotation tool for bovine by integrating various sources of genomic information. BMC Genetics. 12(1). 85–85. 9 indexed citations
20.
Tang, Hui, et al.. (2009). Variation of meat quality traits among five genotypes of chicken. Poultry Science. 88(10). 2212–2218. 116 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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