Xiang‐Yang Lou

2.4k total citations
77 papers, 1.8k citations indexed

About

Xiang‐Yang Lou is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Xiang‐Yang Lou has authored 77 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Genetics, 23 papers in Molecular Biology and 20 papers in Plant Science. Recurrent topics in Xiang‐Yang Lou's work include Genetic Mapping and Diversity in Plants and Animals (32 papers), Genetic Associations and Epidemiology (21 papers) and Genetic and phenotypic traits in livestock (18 papers). Xiang‐Yang Lou is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (32 papers), Genetic Associations and Epidemiology (21 papers) and Genetic and phenotypic traits in livestock (18 papers). Xiang‐Yang Lou collaborates with scholars based in United States, China and Taiwan. Xiang‐Yang Lou's co-authors include Ming D. Li, Robert C. Elston, Z. Jennie, Guo‐Bo Chen, Jun Zhu, Lei Yan, Thomas J. Payne, Karen M. Crews, Haiming Xu and Joke Beuten and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Xiang‐Yang Lou

72 papers receiving 1.7k citations

Peers

Xiang‐Yang Lou
Fan Ye China
Jing Hua Zhao United Kingdom
Julien Marquis Switzerland
Seungil Ro United States
Anthony H. Taylor United Kingdom
Lanxin Ji United States
Bastiaan Hoogendoorn United Kingdom
Sara L. Pulit Netherlands
Xiang‐Yang Lou
Citations per year, relative to Xiang‐Yang Lou Xiang‐Yang Lou (= 1×) peers Maija Wessman

Countries citing papers authored by Xiang‐Yang Lou

Since Specialization
Citations

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

Fields of papers citing papers by Xiang‐Yang Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang‐Yang Lou

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang‐Yang Lou. A scholar is included among the top collaborators of Xiang‐Yang Lou 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 Xiang‐Yang Lou. Xiang‐Yang Lou 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.
Yacoubi, Basma, Xiang‐Yang Lou, Michael F. Presti, et al.. (2025). Force control deficits in rapid eye movement behavior disorder and Parkinson’s disease. Clinical Neurophysiology. 176. 2110763–2110763.
2.
Zhang, Zhongyue, et al.. (2024). Analysis of pancreatic cancer treatment and survival disparities in Florida throughout the Covid-19 pandemic. Journal of the National Medical Association. 116(4). 328–337. 2 indexed citations
3.
Arpin, David J., Xiang‐Yang Lou, Richard B. Berry, et al.. (2024). Functional and free-water imaging in rapid eye movement behaviour disorder and Parkinson’s disease. Brain Communications. 6(5). fcae344–fcae344. 4 indexed citations
4.
Tong, Zhijun, Feng Lin, Xuejun Chen, et al.. (2024). Dissection of genetic architecture of nine hazardous component traits of mainstream smoke in tobacco (Nicotiana tabacum L.). Frontiers in Plant Science. 15. 1358953–1358953. 1 indexed citations
5.
Pearl, Rebecca L., Yulin Li, Kimberly A. Driscoll, et al.. (2024). Measuring internalized health-related stigma across health conditions: development and validation of the I-HEARTS Scale. BMC Medicine. 22(1). 435–435. 3 indexed citations
6.
McVay, Megan A., et al.. (2023). Pre-Enrollment Steps and Run-Ins in Weight Loss Trials: A Meta-Regression. American Journal of Preventive Medicine. 64(6). 910–917. 4 indexed citations
8.
McVay, Megan A., et al.. (2022). Privacy Concerns in Group Format Lifestyle Interventions for Obesity. International Journal of Behavioral Medicine. 30(5). 693–704. 1 indexed citations
9.
Herremans, Kelly M., Andrea N. Riner, Xiang‐Yang Lou, et al.. (2022). The interleukin-1 axis and the tumor immune microenvironment in pancreatic ductal adenocarcinoma. Neoplasia. 28. 100789–100789. 23 indexed citations
10.
Franke, Aaron J, William Paul Skelton, Michael Feely, et al.. (2022). Impact of Institutional Universal Microsatellite-Instability (MSI) Reflex Testing on Molecular Profiling Differences Between Younger and Older Patients with Colorectal Cancer. Clinical Colorectal Cancer. 22(1). 153–159. 4 indexed citations
11.
Gutman, Colleen K., K. Casey Lion, Paul L. Aronson, et al.. (2022). Disparities and implicit bias in the management of low-risk febrile infants: a mixed methods study protocol. BMJ Open. 12(9). e063611–e063611. 1 indexed citations
12.
Lou, Xiang‐Yang, Tingting Hou, Haiming Xu, et al.. (2020). Innovative approach to identify multigenomic and environmental interactions associated with birth defects in family‐based hybrid designs. Genetic Epidemiology. 45(2). 171–189.
13.
Li, Ting, et al.. (2020). Brain Cortical Structure and Executive Function in Children May Be Influenced by Parental Choices of Infant Diets. American Journal of Neuroradiology. 41(7). 1302–1308. 6 indexed citations
14.
Hou, Tingting, Feng Lin, Shasha Bai, et al.. (2018). Generalized multifactor dimensionality reduction approaches to identification of genetic interactions underlying ordinal traits. Genetic Epidemiology. 43(1). 24–36. 9 indexed citations
15.
Xu, Haiming, et al.. (2015). Transcriptome analysis of Brassica napus pod using RNA-Seq and identification of lipid-related candidate genes. BMC Genomics. 16(1). 858–858. 35 indexed citations
16.
Xu, Haiming, Xiwei Sun, Ting Qi, et al.. (2014). Multivariate Dimensionality Reduction Approaches to Identify Gene-Gene and Gene-Environment Interactions Underlying Multiple Complex Traits. PLoS ONE. 9(9). e108103–e108103. 16 indexed citations
17.
Yi, Nengjun, Shizhong Xu, Xiang‐Yang Lou, & Himel Mallick. (2013). Multiple comparisons in genetic association studies: a hierarchical modeling approach. Statistical Applications in Genetics and Molecular Biology. 13(1). 35–48. 10 indexed citations
18.
Li, Ming D., et al.. (2008). Gene-Gene Interactions Among CHRNA4, CHRNB2, BDNF, and NTRK2 in Nicotine Dependence. Biological Psychiatry. 64(11). 951–957. 51 indexed citations
19.
Beuten, Joke, Z. Jennie, Xiang‐Yang Lou, Thomas J. Payne, & Ming D. Li. (2006). Association analysis of the protein phosphatase 1 regulatory subunit 1B (PPP1R1B) gene with nicotine dependence in European‐ and African‐American smokers. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 144B(3). 285–290. 13 indexed citations
20.
Liu, Pengyuan, Jun Zhu, Xiang‐Yang Lou, & Yan Lü. (2003). A Method for Marker-Assisted Selection Based on QTLs with Epistatic Effects. Genetica. 119(1). 75–86. 26 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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