Xiaoling Yang

1.5k total citations
45 papers, 923 citations indexed

About

Xiaoling Yang is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Xiaoling Yang has authored 45 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Immunology and 8 papers in Oncology. Recurrent topics in Xiaoling Yang's work include Andrographolide Research and Applications (7 papers), Reproductive Biology and Fertility (4 papers) and Immunotherapy and Immune Responses (4 papers). Xiaoling Yang is often cited by papers focused on Andrographolide Research and Applications (7 papers), Reproductive Biology and Fertility (4 papers) and Immunotherapy and Immune Responses (4 papers). Xiaoling Yang collaborates with scholars based in China, United States and Japan. Xiaoling Yang's co-authors include Qiang Xu, Yang Sun, Wenjie Guo, Chunhong Jiang, Shuang Peng, Wen Liu, Jian Gao, Wen Liu, Yanhong Gu and Ning Xie and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Xiaoling Yang

42 papers receiving 910 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoling Yang China 15 351 248 231 137 125 45 923
Jen‐Huai Chiang Taiwan 18 215 0.6× 163 0.7× 91 0.4× 92 0.7× 101 0.8× 59 912
Yafei Liu China 18 295 0.8× 85 0.3× 101 0.4× 78 0.6× 71 0.6× 77 884
Hongsheng Lin China 15 293 0.8× 127 0.5× 145 0.6× 147 1.1× 52 0.4× 46 703
Nuri Bakan Türkiye 21 278 0.8× 86 0.3× 99 0.4× 78 0.6× 109 0.9× 55 1.1k
Mahta Mazaheri Iran 19 195 0.6× 79 0.3× 82 0.4× 122 0.9× 52 0.4× 65 735
Chi‐Li Chung Taiwan 20 291 0.8× 80 0.3× 94 0.4× 230 1.7× 100 0.8× 76 1.1k
Yang Liang China 15 896 2.6× 194 0.8× 180 0.8× 267 1.9× 96 0.8× 69 1.7k
Qi He China 17 280 0.8× 47 0.2× 104 0.5× 60 0.4× 94 0.8× 61 730
Jie Shen China 21 348 1.0× 104 0.4× 54 0.2× 197 1.4× 232 1.9× 81 1.3k
Mei Meng China 18 397 1.1× 84 0.3× 140 0.6× 121 0.9× 108 0.9× 51 824

Countries citing papers authored by Xiaoling Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoling Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoling Yang. A scholar is included among the top collaborators of Xiaoling 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 Xiaoling Yang. Xiaoling Yang 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.
Huang, Min, Wenjie Xie, Lili Kang, et al.. (2025). Development and validation of prediction model for pre‐eclampsia‐related maternal adverse outcome: retrospective cohort study. Ultrasound in Obstetrics and Gynecology. 66(6). 762–772.
2.
Xu, Lulu, Congcong Wang, Xiaoling Yang, & Liangliang Dong. (2024). Case report: Cutaneous metastases as a first manifestation from breast cancer with concurrent gastric metastases. Frontiers in Pharmacology. 15. 1356167–1356167. 2 indexed citations
3.
Yang, Hao, et al.. (2022). Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation. JMIR Medical Informatics. 10(6). e36958–e36958. 12 indexed citations
4.
Wang, Ying, et al.. (2022). Aesculin offers increased resistance against oxidative stress and protective effects against Aβ-induced neurotoxicity in Caenorhabditis elegans. European Journal of Pharmacology. 917. 174755–174755. 14 indexed citations
5.
Shi, Jie, Zhiyu Wang, Junping Zhang, et al.. (2021). Genomic Landscape and Tumor Mutational Burden Determination of Circulating Tumor DNA in Over 5,000 Chinese Patients with Lung Cancer. Clinical Cancer Research. 27(22). 6184–6196. 9 indexed citations
6.
Bai, Xue, Michelle Kim, Gyulnara G. Kasumova, et al.. (2021). Radiological dynamics and SITC-defined resistance types of advanced melanoma during anti-PD-1 monotherapy: an independent single-blind observational study on an international cohort. Journal for ImmunoTherapy of Cancer. 9(2). e002092–e002092. 8 indexed citations
8.
Liu, Wen, Ting Fan, Manru Li, et al.. (2020). Andrographolide potentiates PD-1 blockade immunotherapy by inhibiting COX2-mediated PGE2 release. International Immunopharmacology. 81. 106206–106206. 35 indexed citations
9.
Yang, Jie, et al.. (2020). Interleukin 6 in follicular fluid reduces embryo fragmentation and improves the clinical pregnancy rate. Journal of Assisted Reproduction and Genetics. 37(5). 1171–1176. 16 indexed citations
10.
Li, Ying, Xiaoling Yang, Jun Li, et al.. (2019). Association between Statin Use and Physical Function among Older Chinese Inpatients with Type 2 Diabetes. The journal of nutrition health & aging. 24(2). 194–197. 3 indexed citations
11.
Liu, Jinyi, Weiwei Tian, Wenbin Zhang, et al.. (2019). MicroRNA-142-3p/MALAT1 inhibits lung cancer progression through repressing β-catenin expression. Biomedicine & Pharmacotherapy. 114. 108847–108847. 26 indexed citations
12.
Hu, Jiang, et al.. (2017). Investigation on the early-stage nursing intervention for deep venous thrombosis in traumatic fracture senile patients in perioperative period. Biomedical Research-tokyo. 28(21). 9507–9510. 1 indexed citations
13.
Peng, Shuang, Wen Liu, Wenjie Guo, et al.. (2016). Andrographolide sulfonate ameliorates lipopolysaccharide-induced acute lung injury in mice by down-regulating MAPK and NF-κB pathways. Acta Pharmaceutica Sinica B. 6(3). 205–211. 89 indexed citations
14.
Chan, Ying, et al.. (2015). Polymorphism ofMDM2promoter 309 (rs 2279744) and the risk of PCOS. Gynecological Endocrinology. 32(2). 136–138. 5 indexed citations
15.
Bosoi, Cristina R., Xiaoling Yang, Jimmy Huynh, et al.. (2012). Systemic oxidative stress is implicated in the pathogenesis of brain edema in rats with chronic liver failure. Free Radical Biology and Medicine. 52(7). 1228–1235. 71 indexed citations
16.
Guo, Wenjie, Wen Liu, Gong Chen, et al.. (2012). Water-soluble andrographolide sulfonate exerts anti-sepsis action in mice through down-regulating p38 MAPK, STAT3 and NF-κB pathways. International Immunopharmacology. 14(4). 613–619. 63 indexed citations
17.
Luo, Yanli, et al.. (2012). Health-Related Quality of Life of Liver Transplant Recipients: A Single Center Experience. Hepatogastroenterology. 59(118). 1947–50. 1 indexed citations
18.
Yang, Xiaoling, Cristina R. Bosoi, Wenlei Jiang, Mélanie Tremblay, & Christopher F. Rose. (2010). Portacaval anastomosis-induced hyperammonemia does not lead to oxidative stress. Metabolic Brain Disease. 25(1). 11–15. 7 indexed citations
19.
Pan, Xiaobo, et al.. (2007). Effect of Synthetic Jasmonic Acid Derivatives on Shoot Formation in Rhizome Cultures of Cymbidium Species. Shokubutsu Kankyo Kogaku. 19(4). 197–202.
20.
Yang, Xiaoling, et al.. (1997). Optimum enzyme treatment for chromosome preparation method and chromosome number in Citrus and Poncirus. 66(2). 190–191. 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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