Yu‐Fang Pei

3.2k total citations · 1 hit paper
80 papers, 1.9k citations indexed

About

Yu‐Fang Pei is a scholar working on Genetics, Molecular Biology and Orthopedics and Sports Medicine. According to data from OpenAlex, Yu‐Fang Pei has authored 80 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Genetics, 35 papers in Molecular Biology and 11 papers in Orthopedics and Sports Medicine. Recurrent topics in Yu‐Fang Pei's work include Genetic Associations and Epidemiology (52 papers), Genetic and phenotypic traits in livestock (16 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). Yu‐Fang Pei is often cited by papers focused on Genetic Associations and Epidemiology (52 papers), Genetic and phenotypic traits in livestock (16 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). Yu‐Fang Pei collaborates with scholars based in China, United States and Taiwan. Yu‐Fang Pei's co-authors include Lei Zhang, Hong‐Wen Deng, Xin‐Tong Wei, Guijuan Feng, Christopher J. Papasian, Xiaolin Yang, Jing‐Jing Ni, Qian Xu, Shanshan Yan and Bai‐Xue Han and has published in prestigious journals such as Bioinformatics, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Yu‐Fang Pei

79 papers receiving 1.9k citations

Hit Papers

Causal Relationship Betwe... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu‐Fang Pei China 23 961 868 397 223 186 80 1.9k
Lan‐Juan Zhao China 24 951 1.0× 398 0.5× 408 1.0× 581 2.6× 278 1.5× 88 2.2k
Giovanni Federico Italy 26 485 0.5× 364 0.4× 242 0.6× 263 1.2× 274 1.5× 102 2.1k
Bok‐Ghee Han South Korea 20 612 0.6× 584 0.7× 324 0.8× 37 0.2× 234 1.3× 52 1.9k
Akira Itabashi Japan 24 511 0.5× 203 0.2× 306 0.8× 519 2.3× 71 0.4× 61 1.6k
M. Ardawi Saudi Arabia 22 619 0.6× 190 0.2× 723 1.8× 368 1.7× 196 1.1× 61 2.5k
Abdul Khader Mohammed United Arab Emirates 21 341 0.4× 231 0.3× 226 0.6× 49 0.2× 197 1.1× 76 1.2k
Yo Han Ahn South Korea 17 346 0.4× 226 0.3× 233 0.6× 38 0.2× 150 0.8× 99 1.5k
Manubai Nagamani United States 28 481 0.5× 651 0.8× 166 0.4× 59 0.3× 171 0.9× 102 2.7k
José L. Gómez United States 25 471 0.5× 307 0.4× 271 0.7× 21 0.1× 159 0.9× 71 2.0k

Countries citing papers authored by Yu‐Fang Pei

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Fang Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Fang Pei. 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 Yu‐Fang Pei. The network helps show where Yu‐Fang Pei may publish in the future.

Co-authorship network of co-authors of Yu‐Fang Pei

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Fang Pei. A scholar is included among the top collaborators of Yu‐Fang Pei 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 Yu‐Fang Pei. Yu‐Fang Pei 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.
Xu, Qian, Fan Bu, Kuan Li, et al.. (2024). Integrative analysis of transcriptome and proteome wide association studies prioritized functional genes for obesity. Human Genetics. 144(1). 31–41. 2 indexed citations
2.
Shi, Qiyun, Qian Xu, Shanshan Yan, et al.. (2023). Causal associations between type 1 diabetes and COVID-19 infection and prognosis: a two-sample Mendelian randomization study. BMJ Open Diabetes Research & Care. 11(3). e003167–e003167. 1 indexed citations
3.
Han, Bai‐Xue, Qian Xu, Tao Wang, et al.. (2023). Proteome and genome integration analysis of obesity. Chinese Medical Journal. 136(8). 910–921. 3 indexed citations
4.
Ran, Shu, Yuxue Zhang, Lei Zhang, et al.. (2020). Whole‐exome sequencing and genome‐wide association studies identify novel sarcopenia risk genes in Han Chinese. Molecular Genetics & Genomic Medicine. 8(8). e1267–e1267. 7 indexed citations
5.
Liu, Lu, Xiaolin Yang, Hong Zhang, et al.. (2020). Two novel pleiotropic loci associated with osteoporosis and abdominal obesity. Human Genetics. 139(8). 1023–1035. 10 indexed citations
6.
Pei, Yu‐Fang, Yaozhong Liu, Xiaolin Yang, et al.. (2020). The genetic architecture of appendicular lean mass characterized by association analysis in the UK Biobank study. Communications Biology. 3(1). 608–608. 159 indexed citations
7.
Pei, Yu‐Fang, Chengwei Li, Lu Liu, et al.. (2018). Joint study of two genome-wide association meta-analyses identified 20p12.1 and 20q13.33 for bone mineral density. Bone. 110. 378–385. 20 indexed citations
8.
Zhang, Xinyan, Yu‐Fang Pei, Lei Zhang, et al.. (2018). Negative Binomial Mixed Models for Analyzing Longitudinal Microbiome Data. Frontiers in Microbiology. 9. 1683–1683. 52 indexed citations
9.
Pei, Yu‐Fang, Haigang Ren, Lu Liu, et al.. (2017). Genomic variants at 20p11 associated with body fat mass in the European population. Obesity. 25(4). 757–764. 9 indexed citations
10.
Fang, Chen, et al.. (2016). The efficacy and safety of DPP4 inhibitors in patients with type 1 diabetes: A systematic review and meta-analysis. Diabetes Research and Clinical Practice. 121. 184–191. 55 indexed citations
11.
Korostishevsky, Michael, Ida Malkin, Svetlana Trofimov, et al.. (2012). Significant association between body composition phenotypes and the osteocalcin genomic region in normative human population. Bone. 51(4). 688–694. 19 indexed citations
12.
Pei, Yu‐Fang, Lei Zhang, Tie‐Lin Yang, et al.. (2012). Genome-Wide Association Study of Copy Number Variants Suggests LTBP1 and FGD4 Are Important for Alcohol Drinking. PLoS ONE. 7(1). e30860–e30860. 10 indexed citations
13.
Chen, Yuan, Yong‐Jun Liu, Yu‐Fang Pei, et al.. (2011). Copy Number Variations at the Prader‐Willi Syndrome Region on Chromosome 15 and associations with Obesity in Whites. Obesity. 19(6). 1229–1234. 17 indexed citations
14.
Pei, Yu‐Fang, Lei Zhang, Jian Li, & Hong‐Wen Deng. (2010). Analyses and Comparison of Imputation-Based Association Methods. PLoS ONE. 5(5). e10827–e10827. 23 indexed citations
15.
Yu, Na, Yong-Jun Liu, Yu‐Fang Pei, et al.. (2010). Evaluation of Compressive Strength Index of the Femoral Neck in Caucasians and Chinese. Calcified Tissue International. 87(4). 324–332. 31 indexed citations
16.
Tan, Lijun, Rong Liu, Shu‐Feng Lei, et al.. (2010). A genome-wide association analysis implicates SOX6 as a candidate gene for wrist bone mass. Science China Life Sciences. 53(9). 1065–1072. 12 indexed citations
17.
Zhang, Lei, Yu‐Fang Pei, Jian Li, Christopher J. Papasian, & Hong‐Wen Deng. (2010). Efficient Utilization of Rare Variants for Detection of Disease-Related Genomic Regions. PLoS ONE. 5(12). e14288–e14288. 16 indexed citations
18.
Deng, Fei‐Yan, Lan‐Juan Zhao, Yu‐Fang Pei, et al.. (2009). Genome-wide copy number variation association study suggested VPS13B gene for osteoporosis in Caucasians. Osteoporosis International. 21(4). 579–587. 24 indexed citations
19.
Liu, Yaozhong, Yu‐Fang Pei, Jianfeng Liu, et al.. (2009). Powerful Bivariate Genome-Wide Association Analyses Suggest the SOX6 Gene Influencing Both Obesity and Osteoporosis Phenotypes in Males. PLoS ONE. 4(8). e6827–e6827. 80 indexed citations
20.
Liu, Xiaogang, Yong‐Jun Liu, Jianfeng Liu, et al.. (2008). A Bivariate Whole Genome Linkage Study Identified Genomic Regions Influencing Both BMD and Bone Structure. Journal of Bone and Mineral Research. 23(11). 1806–1814. 11 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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