Caode Jiang

455 total citations
29 papers, 302 citations indexed

About

Caode Jiang is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Caode Jiang has authored 29 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 17 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Caode Jiang's work include Genetic Syndromes and Imprinting (10 papers), Epigenetics and DNA Methylation (9 papers) and Cancer-related molecular mechanisms research (5 papers). Caode Jiang is often cited by papers focused on Genetic Syndromes and Imprinting (10 papers), Epigenetics and DNA Methylation (9 papers) and Cancer-related molecular mechanisms research (5 papers). Caode Jiang collaborates with scholars based in China, Indonesia and Canada. Caode Jiang's co-authors include Yongxiong Yu, Ruihong Wang, Lusheng Liu, C. Y. Deng, Yan Xiong, Minggang Lei, Changyan Deng, Yuanzhu Xiong, Xiao Ma and Shun Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Caode Jiang

29 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Caode Jiang China	10	151	125	88	44	32	29	302
Jin Tae South Korea	11	151 1.0×	42 0.3×	68 0.8×	19 0.4×	17 0.5×	15	330
Yao Xu China	11	235 1.6×	229 1.8×	231 2.6×	44 1.0×	11 0.3×	17	416
Joy M Raison Australia	7	201 1.3×	49 0.4×	88 1.0×	66 1.5×	11 0.3×	8	249
Korhan Arslan Türkiye	10	80 0.5×	108 0.9×	17 0.2×	46 1.0×	8 0.3×	42	266
Yong Ma China	7	130 0.9×	62 0.5×	31 0.4×	33 0.8×	3 0.1×	13	218
Mohamed Ashry United States	9	104 0.7×	36 0.3×	45 0.5×	19 0.4×	6 0.2×	20	225
Xia Wu China	10	304 2.0×	98 0.8×	31 0.4×	27 0.6×	19 0.6×	17	418
Faisal Kunnathodi India	10	94 0.6×	129 1.0×	89 1.0×	50 1.1×	3 0.1×	28	397
G. Vichera Argentina	11	178 1.2×	117 0.9×	30 0.3×	10 0.2×	3 0.1×	19	311
Wen‐Xiang Liu China	9	168 1.1×	41 0.3×	62 0.7×	47 1.1×	26 0.8×	17	302

Countries citing papers authored by Caode Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Caode Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caode Jiang

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

Lin, Tao, et al.. (2025). Combined effects of quinic acid and isochlorogenic acid B on LPS-induced inflammation and pyroptosis in MAC-T cells and mouse mammary glands. Frontiers in Veterinary Science. 12. 1476302–1476302. 1 indexed citations

Chen, Xihong, et al.. (2024). Anti-atherosclerotic effect of alfalfa flavonoid extract by regulating inflammation and oxidative stress in HUVEC cells and rats. Journal of Functional Foods. 121. 106426–106426. 3 indexed citations

Wang, Haolei, et al.. (2024). In vivo and in vitro anti-inflammation of Rhapontici Radix extract on mastitis via TMEM59 and GPR161. Journal of Ethnopharmacology. 333. 118462–118462. 8 indexed citations

Wang, Ruihong, et al.. (2022). Anti-inflammation of isoliquiritigenin via the inhibition of NF-κB and MAPK in LPS-stimulated MAC-T cells. BMC Veterinary Research. 18(1). 320–320. 15 indexed citations

Wang, Ruihong, et al.. (2021). Anti-inflammation of epicatechin mediated by TMEM35A and TMPO in bovine mammary epithelial cell line cells and mouse mammary gland. Journal of Dairy Science. 104(12). 12925–12938. 15 indexed citations

Wang, Ruihong, et al.. (2020). Inhibition of PHLDA2 transcription by DNA methylation and YY1 in goat placenta. Gene. 739. 144512–144512. 6 indexed citations

Jiang, Caode, et al.. (2020). Plasma membrane proteomic analysis by TMT-PRM provides insight into mechanisms of aluminum resistance in tamba black soybean roots tips. PeerJ. 8. e9312–e9312. 16 indexed citations

Liu, Lusheng, et al.. (2020). Quantitative phosphoproteomic analysis provides insights into the aluminum-responsiveness of Tamba black soybean. PLoS ONE. 15(8). e0237845–e0237845. 5 indexed citations

Ma, Xiao, et al.. (2020). Anti-Inflammatory Activity of Oligomeric Proanthocyanidins Via Inhibition of NF-κB and MAPK in LPS-Stimulated MAC-T Cells. Journal of Microbiology and Biotechnology. 30(10). 1458–1466. 24 indexed citations

10.

Jiang, Caode, et al.. (2018). Insights into aluminum-tolerance pathways in Stylosanthes as revealed by RNA-Seq analysis. Scientific Reports. 8(1). 6072–6072. 29 indexed citations

11.

Zhao, Yong, Guiling Cao, Jianning He, et al.. (2016). Desmoglein 4 diversity and correlation analysis with coat color in goat. Genetics and Molecular Research. 15(1). 15017814–15017814. 5 indexed citations

12.

Guangxin, E, Yongfu Huang, Nan Liu, et al.. (2015). Characteristics of the mitochondrial genome of four native goats in China ( Capra hircus ). Mitochondrial DNA Part A. 27(5). 3308–3309. 4 indexed citations

13.

Jiang, Caode, Yongsheng Yang, Chenchen Huang, & Bruce Whitelaw. (2014). Promoter characterization and functional association with placenta of porcine MAGEL2. Gene. 547(1). 63–69. 7 indexed citations

14.

Li, Shun, et al.. (2012). Characterization, Tissue Expression, and Imprinting Analysis of the Porcine CDKN1C and NAP1L4 Genes. SHILAP Revista de lepidopterología. 2012. 1–7. 9 indexed citations

15.

Jiang, Caode, Ping Shi, Shun Li, et al.. (2010). Gene Expression Profiling of Skeletal Muscle of Nursing Piglets. International Journal of Biological Sciences. 6(7). 627–638. 23 indexed citations

16.

Jiang, Caode, et al.. (2008). Isolation and imprinting analysis of the porcine DLX5 gene and its association with carcass traits. Animal Genetics. 39(4). 395–399. 25 indexed citations

17.

Jiang, Caode, et al.. (2007). Imprinted status of pleomorphic adenoma gene-like I and paternal expression gene 10 genes in pigs1. Journal of Animal Science. 85(4). 886–890. 20 indexed citations

18.

Zhang, Fengwei, Changyan Deng, Caode Jiang, et al.. (2007). NNAT and DIRAS3 genes are paternally expressed in pigs. Genetics Selection Evolution. 39(5). 599–607. 19 indexed citations

19.

Jiang, Caode, Changyan Deng, & Yuanzhu Xiong. (2005). Differences of cytosine methylation in parental lines and F₁hybrids of Large White×Meishan crosses and their effects on F₁performance. 2(3). 195–200. 2 indexed citations

20.

Jiang, Caode, et al.. (2003). [Genetic variation of six breeds of pigs by RAPD analysis].. PubMed. 25(2). 151–4. 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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