E Xiang

649 total citations · 1 hit paper
19 papers, 455 citations indexed

About

E Xiang is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, E Xiang has authored 19 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Surgery and 4 papers in Genetics. Recurrent topics in E Xiang's work include Mesenchymal stem cell research (4 papers), Reproductive Health and Contraception (4 papers) and Plant Toxicity and Pharmacological Properties (4 papers). E Xiang is often cited by papers focused on Mesenchymal stem cell research (4 papers), Reproductive Health and Contraception (4 papers) and Plant Toxicity and Pharmacological Properties (4 papers). E Xiang collaborates with scholars based in China and United States. E Xiang's co-authors include Dongcheng Wu, Bing Han, Wei Rao, Changyong Li, Chengshu Tu, Yaqi Zhang, Cheng Chang, Quan Zhang, Peizhan Chen and Jialin Cai and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Advanced Science and Medicine.

In The Last Decade

E Xiang

17 papers receiving 449 citations

Hit Papers

Human umbilical cord-derived mesenchymal stem cells preve... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E Xiang China 10 205 139 104 69 56 19 455
Yoshimitsu Tanaka Japan 11 228 1.1× 32 0.2× 83 0.8× 70 1.0× 32 0.6× 15 577
Yoshinari Obata Japan 12 237 1.2× 37 0.3× 78 0.8× 81 1.2× 19 0.3× 34 645
Xuxia Wei China 12 308 1.5× 86 0.6× 112 1.1× 121 1.8× 22 0.4× 30 637
Lingwei Xiang United States 12 189 0.9× 18 0.1× 88 0.8× 49 0.7× 65 1.2× 25 497
Qihong Wu China 14 205 1.0× 19 0.1× 82 0.8× 49 0.7× 46 0.8× 34 503
Martina Caiazza Italy 18 295 1.4× 25 0.2× 109 1.0× 28 0.4× 16 0.3× 86 883
Guixiang Sun China 14 159 0.8× 48 0.3× 80 0.8× 68 1.0× 9 0.2× 39 462
Rulin Zhuang China 13 385 1.9× 22 0.2× 57 0.5× 101 1.5× 76 1.4× 26 609
Farzaneh Abbasi Iran 13 83 0.4× 44 0.3× 133 1.3× 22 0.3× 31 0.6× 44 523

Countries citing papers authored by E Xiang

Since Specialization
Citations

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

Fields of papers citing papers by E Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E Xiang

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

All Works

19 of 19 papers shown
1.
Sun, Xiaoxiang, Jie Liu, E Xiang, et al.. (2025). The Pivotal Role of GR‐CAR Pathway in Fetal Programming of Hepatic Cytochrome P450 3A Alteration in Adulthood. Advanced Science. 13(6). e15583–e15583.
2.
Zhang, Yuwen, et al.. (2025). Effect of Growth Hormone on Branched‐Chain Amino Acids Catabolism in Males With Hypopituitarism. Journal of Cellular and Molecular Medicine. 29(5). e70451–e70451.
3.
He, Jing, Chengshu Tu, Yaqi Zhang, et al.. (2024). A highly sensitive and specific Homo1‐based real‐time qPCR method for quantification of human umbilical cord mesenchymal stem cells in rats. Biotechnology Journal. 19(2). e2300484–e2300484. 1 indexed citations
4.
Yang, Cuiping, et al.. (2024). Evolutionary history of adenomas to colorectal cancer in FAP families. Frontiers in Genetics. 15. 1391851–1391851. 2 indexed citations
5.
Chen, Changqiang, Chunxiao Liu, Xiaodan Wang, et al.. (2023). Plasma 25(OH)D Level is Associated with the Nucleic Acid Negative Conversion Time of COVID-19 Patients: An Exploratory Study. Infection and Drug Resistance. Volume 16. 937–947. 3 indexed citations
6.
Wang, Qizhang, Junwei Pan, Tingwei Lu, et al.. (2023). Single-cell transcriptomic analysis of tumor heterogeneity and intercellular networks in human urothelial carcinoma. Chinese Medical Journal. 136(6). 690–706. 11 indexed citations
7.
Sun, Xiaoxiang, Huichang Bi, Min Huang, et al.. (2022). Prenatal ethanol exposure induces dynamic changes of expression and activity of hepatic cytochrome P450 isoforms in male rat offspring. Reproductive Toxicology. 109. 101–108. 5 indexed citations
8.
Tu, Chengshu, E Xiang, Quan Zhang, et al.. (2022). Human Umbilical Cord Mesenchymal Stem Cells Promote MacrophagePD-L1 Expression and Attenuate Acute Lung Injury in Mice. Current Stem Cell Research & Therapy. 17(6). 564–575. 20 indexed citations
9.
Xiang, E, et al.. (2021). Expression profiling of CPS1 in Correa's cascade and its association with gastric cancer prognosis. Oncology Letters. 21(6). 441–441. 10 indexed citations
11.
Lu, Guo‐Liang, Junwei Pan, Tingwei Lu, et al.. (2021). Single-Cell Transcriptomic Analysis of Tumor Heterogeneity and Intercellular Networks in Human Urothelial Carcinoma. SSRN Electronic Journal. 3 indexed citations
12.
Dai, Yongguo, E Xiang, Zheng He, et al.. (2021). Prenatal Exposure to Retrorsine Induces Developmental Toxicity and Hepatotoxicity of Fetal Rats in a Sex-Dependent Manner: The Role of Pregnane X Receptor Activation. Journal of Agricultural and Food Chemistry. 69(10). 3219–3231. 17 indexed citations
13.
Chen, Lian, E Xiang, Changyong Li, et al.. (2020). Umbilical Cord-Derived Mesenchymal Stem Cells Ameliorate Nephrocyte Injury and Proteinuria in a Diabetic Nephropathy Rat Model. Journal of Diabetes Research. 2020. 1–9. 26 indexed citations
14.
Xiang, E, Yongguo Dai, Xiaoxiang Sun, et al.. (2020). Female-specific activation of pregnane X receptor mediates sex difference in fetal hepatotoxicity by prenatal monocrotaline exposure. Toxicology and Applied Pharmacology. 406. 115137–115137. 13 indexed citations
15.
Xiang, E, Bing Han, Quan Zhang, et al.. (2020). Human umbilical cord-derived mesenchymal stem cells prevent the progression of early diabetic nephropathy through inhibiting inflammation and fibrosis. Stem Cell Research & Therapy. 11(1). 336–336. 229 indexed citations breakdown →
16.
Yang, Xiaojing, Xia Li, E Xiang, et al.. (2019). Sex difference in monocrotaline-induced developmental toxicity and fetal hepatotoxicity in rats. Toxicology. 418. 32–40. 10 indexed citations
17.
Zuo, Junli, Jingqi Zhou, Jialin Cai, et al.. (2019). Childhood obesity leads to adult type 2 diabetes and coronary artery diseases. Medicine. 98(32). e16825–e16825. 57 indexed citations
18.
Li, Xia, Xiaojing Yang, E Xiang, et al.. (2018). Maternal-Fetal Disposition and Metabolism of Retrorsine in Pregnant Rats. Drug Metabolism and Disposition. 46(4). 422–428. 7 indexed citations
19.
Chen, Changqiang, et al.. (2018). Genome-wide methylation study of whole blood cells�DNA in men with congenital hypopituitarism disease. International Journal of Molecular Medicine. 43(1). 155–166. 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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