X. Yang

426 total citations
8 papers, 344 citations indexed

About

X. Yang is a scholar working on Oncology, Genetics and Pharmacology. According to data from OpenAlex, X. Yang has authored 8 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Genetics and 2 papers in Pharmacology. Recurrent topics in X. Yang's work include Estrogen and related hormone effects (3 papers), Immunotherapy and Immune Responses (2 papers) and Cannabis and Cannabinoid Research (2 papers). X. Yang is often cited by papers focused on Estrogen and related hormone effects (3 papers), Immunotherapy and Immune Responses (2 papers) and Cannabis and Cannabinoid Research (2 papers). X. Yang collaborates with scholars based in China and United States. X. Yang's co-authors include G. Shyamala, Emily C. Dale, Mary Helen Barcellos‐Hoff, Gary B. Silberstein, Robert D. Cardiff, D O Toft, Xueqing Zou, Nan Sun, Fang Bai and Yan Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Medicine and The Journal of Steroid Biochemistry and Molecular Biology.

In The Last Decade

X. Yang

8 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
X. Yang China 4 259 178 114 49 48 8 344
Hari Singhal United States 8 177 0.7× 124 0.7× 155 1.4× 38 0.8× 83 1.7× 13 336
Alison E. Obr United States 8 113 0.4× 144 0.8× 131 1.1× 52 1.1× 67 1.4× 11 320
Antonietta de Falco Italy 7 250 1.0× 142 0.8× 277 2.4× 31 0.6× 55 1.1× 8 490
Carolina Schere‐Levy Argentina 9 63 0.2× 131 0.7× 164 1.4× 86 1.8× 47 1.0× 13 367
S L Davies United Kingdom 8 166 0.6× 116 0.7× 301 2.6× 38 0.8× 47 1.0× 13 479
Katrin P. Guillen United States 9 60 0.2× 59 0.3× 107 0.9× 33 0.7× 54 1.1× 14 221
Borbala Katona Sweden 4 103 0.4× 53 0.3× 106 0.9× 29 0.6× 21 0.4× 6 220
Shin-ichiro Horiguchi Japan 4 131 0.5× 158 0.9× 265 2.3× 13 0.3× 57 1.2× 4 367
Carolyn Slater United States 13 120 0.5× 100 0.6× 274 2.4× 19 0.4× 122 2.5× 19 403
Rana Varshochi United Kingdom 7 125 0.5× 101 0.6× 339 3.0× 134 2.7× 31 0.6× 7 516

Countries citing papers authored by X. Yang

Since Specialization
Citations

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

Fields of papers citing papers by X. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of X. Yang

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

All Works

8 of 8 papers shown
1.
Wang, Chunjie, et al.. (2025). Inhibiting ANP32E protects against acute kidney injury by regulating autophagy via the AMPK pathway. iScience. 28(8). 113014–113014. 1 indexed citations
2.
Sun, Nan, Yimeng Zhang, Lin Ding, et al.. (2024). Blockade of aryl hydrocarbon receptor restricts omeprazole-induced chronic kidney disease. Journal of Molecular Medicine. 102(5). 679–692. 3 indexed citations
3.
Yang, X., et al.. (2011). The Amount of Surface HLA-I on T Lymphocytes Decreases in Breast Infiltrating Ductal Carcinoma Patients. Journal of International Medical Research. 39(2). 508–513. 2 indexed citations
4.
Guan, Xin‐Yuan, et al.. (2011). Human leukocyte antigen class I on peripheral blood mononuclear cells as a non-invasive biomarker for esophageal cancer. Diseases of the Esophagus. 25(3). 273–278. 2 indexed citations
5.
Shyamala, G., X. Yang, Robert D. Cardiff, & Emily C. Dale. (2000). Impact of progesterone receptor on cell-fate decisions during mammary gland development. Proceedings of the National Academy of Sciences. 97(7). 3044–3049. 112 indexed citations
6.
Shyamala, G., X. Yang, Gary B. Silberstein, Mary Helen Barcellos‐Hoff, & Emily C. Dale. (1998). Transgenic mice carrying an imbalance in the native ratio of A to B forms of progesterone receptor exhibit developmental abnormalities in mammary glands. Proceedings of the National Academy of Sciences. 95(2). 696–701. 167 indexed citations
7.
Shyamala, G., Mary Helen Barcellos‐Hoff, D O Toft, & X. Yang. (1997). In situ localization of progesterone receptors in normal mouse mammary glands: Absence of receptors in the connective and adipose stroma and a heterogeneous distribution in the epithelium. The Journal of Steroid Biochemistry and Molecular Biology. 63(4-6). 251–259. 55 indexed citations
8.
Luo, Changqing, et al.. (1990). [Influence of iron deficiency anemia on development of thymus and spleen and adenosine deaminase activity in rats].. PubMed. 21(1). 63–6. 2 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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