Xiaolin Liang

5.5k total citations
98 papers, 2.2k citations indexed

About

Xiaolin Liang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Xiaolin Liang has authored 98 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 26 papers in Cancer Research and 18 papers in Genetics. Recurrent topics in Xiaolin Liang's work include BRCA gene mutations in cancer (17 papers), Breast Cancer Treatment Studies (12 papers) and Cancer Risks and Factors (10 papers). Xiaolin Liang is often cited by papers focused on BRCA gene mutations in cancer (17 papers), Breast Cancer Treatment Studies (12 papers) and Cancer Risks and Factors (10 papers). Xiaolin Liang collaborates with scholars based in China, United States and Canada. Xiaolin Liang's co-authors include Leslie Bernstein, Jonine L. Bernstein, Rachel T. Noble, Jed A. Fuhrman, Kathleen E. Malone, Charles F. Lynch, Patrick Concannon, Marinela Capanu, Liang Ma and Jinying Chen and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Xiaolin Liang

90 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaolin Liang China 29 782 583 439 366 357 98 2.2k
Yûzo Hayashi Japan 31 1.1k 1.4× 328 0.6× 796 1.8× 633 1.7× 137 0.4× 170 3.5k
Juan José González Plaza Spain 29 1.0k 1.3× 193 0.3× 276 0.6× 258 0.7× 110 0.3× 62 3.3k
Silvio De Flora Italy 26 1.1k 1.4× 103 0.2× 689 1.6× 438 1.2× 143 0.4× 33 3.0k
Roumen Balansky Italy 35 1.8k 2.3× 189 0.3× 1.2k 2.7× 298 0.8× 136 0.4× 105 3.5k
Junichi Nakagawa Japan 32 1.8k 2.3× 308 0.5× 198 0.5× 293 0.8× 73 0.2× 147 3.6k
Shugo Suzuki Japan 32 1.1k 1.4× 199 0.3× 467 1.1× 342 0.9× 90 0.3× 141 2.6k
Bikash Debnath India 24 948 1.2× 84 0.1× 170 0.4× 657 1.8× 422 1.2× 69 2.5k
Keiichirou Morimura Japan 30 1.7k 2.2× 306 0.5× 825 1.9× 680 1.9× 113 0.3× 95 3.5k
Ian N.H. White United Kingdom 33 1.2k 1.5× 857 1.5× 395 0.9× 440 1.2× 122 0.3× 102 2.9k
Yuan Liu China 34 1.6k 2.0× 270 0.5× 514 1.2× 895 2.4× 78 0.2× 149 3.3k

Countries citing papers authored by Xiaolin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolin Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolin Liang. A scholar is included among the top collaborators of Xiaolin Liang 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 Xiaolin Liang. Xiaolin Liang 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.
Liang, Xiaolin, et al.. (2025). Microbial dynamics and metabolic changes during Qula fermentation from skimmed yak milk. Food Bioscience. 71. 107141–107141.
2.
Liang, Xiaolin, Xinyu Zhang, Charlotte Aimee Young, et al.. (2024). Depressive and anxiety symptoms in caregivers of children with congenital ectopia lentis: a prospective cross-sectional study. BMJ Open. 14(8). e082159–e082159.
3.
Zhou, Ming, Zhuoxing Shi, Xiaolin Liang, et al.. (2024). Single-Cell Transcriptomic Analysis Reveals Dynamic Cellular Processes in Corneal Epithelium During Wound Healing in Cynomolgus Monkeys. Investigative Ophthalmology & Visual Science. 65(11). 43–43. 2 indexed citations
4.
Watt, Gordon P., Krishna Nand Keshava Murthy, Tuong L. Nguyen, et al.. (2024). Association of breast cancer with quantitative mammographic density measures for women receiving contrast-enhanced mammography. JNCI Cancer Spectrum. 8(3). 2 indexed citations
5.
6.
7.
Yu, Xiaohan, et al.. (2022). Anti-Aging Effect of Dietary Fiber Compound Mediated by Guangxi Longevity Dietary Pattern on Natural Aging Mice. Nutrients. 14(15). 3181–3181. 10 indexed citations
8.
Lan, Tian, et al.. (2022). Fufang Zhenzhu Tiaozhi Capsule Prevents Intestinal Inflammation and Barrier Disruption in Mice With Non-Alcoholic Steatohepatitis. Frontiers in Endocrinology. 13. 864703–864703. 11 indexed citations
9.
Liang, Xiaolin, et al.. (2021). Clinical Significance of Decreased GPX1 Expression in Patients with Acute Myeloid Leukaemia (Non-M3). Journal of College of Physicians And Surgeons Pakistan. 31(8). 941–946. 1 indexed citations
10.
Wen, Jing, et al.. (2021). Identification of miR-320 family members as potential diagnostic and prognostic biomarkers in myelodysplastic syndromes. Scientific Reports. 11(1). 183–183. 16 indexed citations
11.
Liang, Xiaolin, et al.. (2020). Expression and Clinical Significance of ANXA1 and DICER1 in Myelodysplastic Syndromes. Journal of College of Physicians And Surgeons Pakistan. 30(12). 1291–1296. 1 indexed citations
12.
Li, Jia, et al.. (2020). Effect of video-assisted education on informed consent and patient education for peripherally inserted central catheters: a randomized controlled trial. Journal of International Medical Research. 48(9). 1220747467–1220747467. 4 indexed citations
13.
Liang, Xiaolin, et al.. (2020). Enhancement of 2-phenylethanol production by a wild-type Wickerhamomyces anomalus strain isolated from rice wine. Bioresource Technology. 318. 124257–124257. 34 indexed citations
14.
Lee, Sangkyu, Xiaolin Liang, Meghan Woods, et al.. (2020). Machine learning on genome-wide association studies to predict the risk of radiation-associated contralateral breast cancer in the WECARE Study. PLoS ONE. 15(2). e0226157–e0226157. 21 indexed citations
15.
Saldia, Amethyst, Sara H. Olson, Xiaolin Liang, et al.. (2019). Outcome of Pancreatic Cancer Surveillance Among High-Risk Individuals Tested for Germline Mutations in BRCA1 and BRCA2. Cancer Prevention Research. 12(9). 599–608. 5 indexed citations
16.
Reiner, Anne S., Charles F. Lynch, Julia Sisti, et al.. (2017). Hormone receptor status of a first primary breast cancer predicts contralateral breast cancer risk in the WECARE study population. Breast Cancer Research. 19(1). 83–83. 28 indexed citations
17.
Sisti, Julia, Jonine L. Bernstein, Charles F. Lynch, et al.. (2015). Reproductive factors, tumor estrogen receptor status and contralateral breast cancer risk: results from the WECARE study. SpringerPlus. 4(1). 825–825. 17 indexed citations
18.
Wang, Guangcheng, Chunyan Li, Lin He, et al.. (2014). Design, synthesis and biological evaluation of a series of pyrano chalcone derivatives containing indole moiety as novel anti-tubulin agents. Bioorganic & Medicinal Chemistry. 22(7). 2060–2079. 100 indexed citations
19.
Capanu, Marinela, Patrick Concannon, Robert W. Haile, et al.. (2011). Assessment of rare BRCA1 and BRCA2 variants of unknown significance using hierarchical modeling. Genetic Epidemiology. 35(5). 389–397. 13 indexed citations
20.
Begg, Colin B., Robert W. Haile, Åke Borg, et al.. (2008). Variation of Breast Cancer Risk Among BRCA1/2 Carriers. JAMA. 299(2). 194–201. 187 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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