Xueming Yan

1.3k total citations
71 papers, 962 citations indexed

About

Xueming Yan is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Xueming Yan has authored 71 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Genetics, 24 papers in Molecular Biology and 10 papers in Oncology. Recurrent topics in Xueming Yan's work include Genetic and phenotypic traits in livestock (13 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Radioactive element chemistry and processing (9 papers). Xueming Yan is often cited by papers focused on Genetic and phenotypic traits in livestock (13 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Radioactive element chemistry and processing (9 papers). Xueming Yan collaborates with scholars based in China, United States and Germany. Xueming Yan's co-authors include Lusheng Huang, Jun Ren, Yuyuan Xie, Ni Tan, Jing Ouyang, Yuanmei Guo, Satoshi Fukuda, Chunhao Yang, Zhiyan Zhang and Shengyuan Yang and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Journal of Medicinal Chemistry.

In The Last Decade

Xueming Yan

71 papers receiving 941 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xueming Yan China 19 335 255 141 110 107 71 962
Elżbieta Grzesiuk Poland 21 279 0.8× 844 3.3× 154 1.1× 37 0.3× 39 0.4× 81 1.2k
Xianxian Liu China 21 473 1.4× 585 2.3× 137 1.0× 9 0.1× 261 2.4× 78 1.5k
Alma Luísa Revilla Vázquez Mexico 15 142 0.4× 614 2.4× 53 0.4× 11 0.1× 35 0.3× 31 1.1k
Soma Mitra India 22 123 0.4× 522 2.0× 152 1.1× 13 0.1× 28 0.3× 60 1.4k
Soojin Jang South Korea 18 157 0.5× 697 2.7× 38 0.3× 38 0.3× 10 0.1× 58 1.5k
Haipeng Zhang China 18 170 0.5× 346 1.4× 78 0.6× 8 0.1× 22 0.2× 70 932
Aaron T. Smith United States 22 76 0.2× 718 2.8× 171 1.2× 56 0.5× 11 0.1× 58 1.7k
James A. Booth United States 16 117 0.3× 333 1.3× 59 0.4× 11 0.1× 15 0.1× 44 840
Tae-Hun Kim South Korea 21 442 1.3× 595 2.3× 251 1.8× 8 0.1× 122 1.1× 109 1.3k
Meili Chen China 19 80 0.2× 513 2.0× 238 1.7× 32 0.3× 7 0.1× 59 1.1k

Countries citing papers authored by Xueming Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xueming Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xueming Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Xueming Yan. A scholar is included among the top collaborators of Xueming Yan 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 Xueming Yan. Xueming Yan 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.
Yan, Xueming, et al.. (2025). Federated training of GNNs with similarity graph reasoning for text–image retrieval. Neurocomputing. 623. 129411–129411. 1 indexed citations
2.
Wang, Min, Xiaohui Gong, Feifei Song, et al.. (2024). Early enteral nutrition with exclusive donor milk instead of formula milk affects the time of full enteral feeding for very low birth weight infants. Frontiers in Nutrition. 11. 1345768–1345768. 3 indexed citations
3.
Ouyang, Jing, et al.. (2022). Genomic signatures reveal selection in Lingxian white goose. Poultry Science. 102(1). 102269–102269. 10 indexed citations
4.
Chen, Hao, Min Huang, Hongbo Tang, et al.. (2022). Genomic signatures and evolutionary history of the endangered blue-crowned laughingthrush and other Garrulax species. BMC Biology. 20(1). 188–188. 2 indexed citations
5.
Shi, Jingjin, et al.. (2021). Factors Influencing the Acceptance of Pediatric Telemedicine Services in China: A Cross-Sectional Study. Frontiers in Pediatrics. 9. 745687–745687. 19 indexed citations
6.
Guo, Changjun, Kai Yang, Yufei Yan, et al.. (2018). SF-deferoxamine, a bone-seeking angiogenic drug, prevents bone loss in estrogen-deficient mice. Bone. 120. 156–165. 26 indexed citations
7.
Yang, Bin, Jing Ouyang, Ming Yang, et al.. (2016). A genome-wide association analysis for susceptibility of pigs to enterotoxigenic Escherichia coli F41. animal. 10(10). 1602–1608. 9 indexed citations
8.
Zhou, Chunli, Xueyan Hu, Chao Chen, et al.. (2015). Quantitation of Allicin in Garlic-based Products: Comparisons among Spectrophotometry, GC and HPLC. Advance Journal of Food Science and Technology. 9(4). 269–277. 14 indexed citations
9.
Yang, Shengyuan, et al.. (2013). Thorium(IV) removal from aqueous medium by citric acid treated mangrove endophytic fungus Fusarium sp. #ZZF51. Marine Pollution Bulletin. 74(1). 213–219. 41 indexed citations
10.
Ren, Jun, Xueming Yan, Huashui Ai, et al.. (2012). Susceptibility towards Enterotoxigenic Escherichia coli F4ac Diarrhea Is Governed by the MUC13 Gene in Pigs. PLoS ONE. 7(9). e44573–e44573. 47 indexed citations
11.
12.
Chen, Congying, Yuanmei Guo, Zhiyan Zhang, et al.. (2009). A Genome Wide Detection of Quantitative Trait Loci on Pig Maternal Infanticide Behavior in a Large Scale White Duroc × Erhualian Resource Population. Behavior Genetics. 39(2). 213–219. 19 indexed citations
13.
14.
Yan, Xueming, Jun Ren, Xuenian Huang, et al.. (2008). Comparison of production traits between pigs with and without the Escherichia coli F4 receptors in a White Duroc × Erhualian intercross F2 population1. Journal of Animal Science. 87(1). 334–339. 5 indexed citations
15.
Ren, Jun, Xueming Yan, Xuenian Huang, et al.. (2008). Investigation of the porcine MUC13 gene: isolation, expression, polymorphisms and strong association with susceptibility to enterotoxigenic Escherichia coli F4ab/ac. Animal Genetics. 39(3). 258–266. 38 indexed citations
16.
Ning, Mengmeng, Chunhao Yang, Xueming Yan, et al.. (2007). Aza analogues of equol: Novel ligands for estrogen receptor β. Bioorganic & Medicinal Chemistry. 15(17). 5828–5836. 15 indexed citations
17.
Wang, Junbo, et al.. (2006). Synthesis of novel bone-targeted agents for treatment of osteoporosis. Indian Journal of Chemistry Section B-organic Chemistry Including Medicinal Chemistry. 45(1). 318–321. 1 indexed citations
18.
Fukuda, Satoshi, et al.. (2006). EFFECTS OF pH ON DU INTAKE AND REMOVAL BY CBMIDA AND EHBP. Health Physics. 92(1). 10–14. 12 indexed citations
19.
Xie, Yuli, Hua‐Sheng Ding, Lihui Qian, et al.. (2005). Synthesis and biological evaluation of novel bisphosphonates with dual activities on bone in vitro. Bioorganic & Medicinal Chemistry Letters. 15(13). 3267–3270. 13 indexed citations
20.
Wang, Junbo, Chunhao Yang, Xueming Yan, Xihan Wu, & Yuyuan Xie. (2005). Novel Bone-targeted Agents for Treatment of Osteoporosis. Chinese Chemical Letters. 16(7). 859–862. 5 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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