Yanan Du

543 total citations
32 papers, 379 citations indexed

About

Yanan Du is a scholar working on Genetics, Molecular Biology and Rheumatology. According to data from OpenAlex, Yanan Du has authored 32 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 14 papers in Molecular Biology and 8 papers in Rheumatology. Recurrent topics in Yanan Du's work include Genetic Associations and Epidemiology (11 papers), Genetics and Neurodevelopmental Disorders (8 papers) and Bone Metabolism and Diseases (5 papers). Yanan Du is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), Genetics and Neurodevelopmental Disorders (8 papers) and Bone Metabolism and Diseases (5 papers). Yanan Du collaborates with scholars based in China, United States and Finland. Yanan Du's co-authors include Yan Wen, Li Liu, Xiao Liang, Ping Li, Xiong Guo, Miao Ding, Yan Zhao, Bolun Cheng, Shiqiang Cheng and Mei Ma and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Schizophrenia Bulletin and Bone.

In The Last Decade

Yanan Du

32 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanan Du China 12 194 83 46 44 44 32 379
Sophie Hackinger United Kingdom 8 123 0.6× 153 1.8× 39 0.8× 46 1.0× 41 0.9× 15 380
J Kelemen Hungary 11 163 0.8× 40 0.5× 31 0.7× 40 0.9× 40 0.9× 26 360
Gabriel Sturm United States 11 222 1.1× 26 0.3× 47 1.0× 11 0.3× 24 0.5× 16 470
Grace Jang United States 10 96 0.5× 125 1.5× 21 0.5× 15 0.3× 42 1.0× 11 402
Carla Basualto-Alarcón Chile 9 182 0.9× 64 0.8× 25 0.5× 12 0.3× 9 0.2× 16 419
Giulia Macchiarulo Italy 12 153 0.8× 25 0.3× 62 1.3× 48 1.1× 31 0.7× 16 598
O Barlas Türkiye 12 87 0.4× 42 0.5× 12 0.3× 79 1.8× 127 2.9× 26 398
Jun Hwa Hong South Korea 11 100 0.5× 31 0.4× 13 0.3× 83 1.9× 9 0.2× 25 384
Rosita Gallo Italy 10 146 0.8× 95 1.1× 14 0.3× 14 0.3× 15 0.3× 12 590
Douglas Londoño United States 12 255 1.3× 172 2.1× 11 0.2× 10 0.2× 20 0.5× 20 734

Countries citing papers authored by Yanan Du

Since Specialization
Citations

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

Fields of papers citing papers by Yanan Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanan Du

This figure shows the co-authorship network connecting the top 25 collaborators of Yanan Du. A scholar is included among the top collaborators of Yanan Du 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 Yanan Du. Yanan Du 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.
Du, Yanan, Ping Li, Yan Wen, et al.. (2019). Evaluating the Correlations Between Osteoporosis and Lifestyle-Related Factors Using Transcriptome-Wide Association Study. Calcified Tissue International. 106(3). 256–263. 11 indexed citations
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Li, Ping, Cuiyan Wu, Xiong Guo, et al.. (2019). Integrative Analysis of Genome-Wide Association Studies and DNA Methylation Profile Identified Genetic Control Genes of DNA Methylation for Kashin-Beck Disease. Cartilage. 13(1_suppl). 780S–788S. 6 indexed citations
4.
Qi, Xin, Sen Wang, Lu Zhang, et al.. (2019). An integrative analysis of transcriptome-wide association study and mRNA expression profile identified candidate genes for attention-deficit/hyperactivity disorder. Psychiatry Research. 282. 112639–112639. 21 indexed citations
5.
Ma, Mei, Dageng Huang, Xue Liang, et al.. (2019). Integrating transcriptome-wide association study and mRNA expression profiling identifies novel genes associated with bone mineral density. Osteoporosis International. 30(7). 1521–1528. 11 indexed citations
6.
Liang, Xiao, Sen Wang, Li Liu, et al.. (2019). Integrating genome-wide association study with regulatory SNP annotation information identified candidate genes and pathways for schizophrenia. Aging. 11(11). 3704–3715. 5 indexed citations
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Ding, Miao, Ping Li, Yan Wen, et al.. (2018). Integrative analysis of genome-wide association study and brain region related enhancer maps identifies biological pathways for insomnia. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 86. 180–185. 14 indexed citations
10.
Wen, Yan, Ping Li, Jingcan Hao, et al.. (2018). Integrating genome-wide DNA methylation and mRNA expression profiles identified different molecular features between Kashin-Beck disease and primary osteoarthritis. Arthritis Research & Therapy. 20(1). 41–41. 9 indexed citations
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Liang, Xiao, Yanan Du, Yan Wen, et al.. (2018). Assessing the Genetic Correlations Between Blood Plasma Proteins and Osteoporosis: A Polygenic Risk Score Analysis. Calcified Tissue International. 104(2). 171–181. 13 indexed citations
13.
Cheng, Bolun, Yanan Du, Yan Wen, et al.. (2018). Integrative analysis of genome-wide association study and chromosomal enhancer maps identified brain region related pathways associated with ADHD. Comprehensive Psychiatry. 88. 65–69. 3 indexed citations
14.
Liang, Xiao, Cuiyan Wu, Hongmou Zhao, et al.. (2018). Assessing the genetic correlations between early growth parameters and bone mineral density: A polygenic risk score analysis. Bone. 116. 301–306. 8 indexed citations
15.
Du, Yanan, Yujie Ning, Yan Wen, et al.. (2018). A genome-wide pathway enrichment analysis identifies brain region related biological pathways associated with intelligence. Psychiatry Research. 268. 238–242. 3 indexed citations
16.
Liu, Li, Xiong Guo, Xiao Liang, et al.. (2018). A Genomewide Integrative Analysis of GWAS and eQTLs Data Identifies Multiple Genes and Gene Sets Associated with Obesity. BioMed Research International. 2018. 1–5. 14 indexed citations
17.
Huang, Huimei, Shiqiang Cheng, Miao Ding, et al.. (2018). Integrative analysis of transcriptome‐wide association study and mRNA expression profiles identifies candidate genes associated with autism spectrum disorders. Autism Research. 12(1). 33–38. 10 indexed citations
18.
Zhao, Yan, Feng Zhu, Miao Ding, et al.. (2017). Integrating genome-wide association study and expression quantitative trait locus study identifies multiple genes and gene sets associated with schizophrenia. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 81. 50–54. 26 indexed citations
19.
Du, Yanan, et al.. (2017). Full-length sequence and genome analysis of CHV1-CN280, a North China isolate of cryphonectria hypovirus 1. Archives of Virology. 162(6). 1811–1818. 6 indexed citations
20.
Du, Yanan, Yan Wen, Xiong Guo, et al.. (2017). A Genome-wide Expression Association Analysis Identifies Genes and Pathways Associated with Amyotrophic Lateral Sclerosis. Cellular and Molecular Neurobiology. 38(3). 635–639. 30 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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