Ping Yan

6.0k total citations
228 papers, 2.5k citations indexed

About

Ping Yan is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Ping Yan has authored 228 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Molecular Biology, 97 papers in Genetics and 39 papers in Cancer Research. Recurrent topics in Ping Yan's work include Genetic and phenotypic traits in livestock (52 papers), Genomics and Phylogenetic Studies (36 papers) and Cancer-related molecular mechanisms research (35 papers). Ping Yan is often cited by papers focused on Genetic and phenotypic traits in livestock (52 papers), Genomics and Phylogenetic Studies (36 papers) and Cancer-related molecular mechanisms research (35 papers). Ping Yan collaborates with scholars based in China, United States and Ethiopia. Ping Yan's co-authors include Xian Guo, Pengjia Bao, Min Chu, Chunnian Liang, Xuezhi Ding, Xiaoyun Wu, Jie Pei, Lin Xiong, Amanda G. Paulovich and Jeffrey R. Whiteaker and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Ping Yan

214 papers receiving 2.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ping Yan 1.0k 737 378 312 278 228 2.5k
André M. Almeida 833 0.8× 633 0.9× 62 0.2× 779 2.5× 1.3k 4.6× 178 3.4k
Susana Cristóbal 1.1k 1.0× 294 0.4× 60 0.2× 50 0.2× 139 0.5× 55 2.2k
Meng-Hua Li 594 0.6× 1.1k 1.5× 428 1.1× 310 1.0× 144 0.5× 108 2.4k
Heinrich H.D. Meyer 788 0.8× 979 1.3× 201 0.5× 1.5k 4.7× 547 2.0× 87 3.6k
Magnus Ø. Arntzen 1.5k 1.4× 116 0.2× 104 0.3× 97 0.3× 76 0.3× 80 2.6k
John A. Bantle 1000 1.0× 188 0.3× 211 0.6× 54 0.2× 92 0.3× 84 3.4k
Linda Giblin 1.6k 1.5× 445 0.6× 94 0.2× 324 1.0× 303 1.1× 93 3.6k
Fréderic Escudié 1.2k 1.2× 231 0.3× 258 0.7× 62 0.2× 61 0.2× 16 2.6k
Eun Mi Kim 1.4k 1.3× 289 0.4× 212 0.6× 22 0.1× 103 0.4× 162 2.4k

Countries citing papers authored by Ping Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ping Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Yan. A scholar is included among the top collaborators of Ping 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 Ping Yan. Ping 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.
Wu, Xiaoyun, Getinet Mekuriaw Tarekegn, Tesfaye Sisay Tessema, et al.. (2024). Whole Genome Scan Uncovers Candidate Genes Related to Milk Production Traits in Barka Cattle. International Journal of Molecular Sciences. 25(11). 6142–6142. 3 indexed citations
2.
Yang, Guowu, Rong Ma, Xiaoming Ma, et al.. (2024). Association between Single Nucleotide Polymorphisms of PRKD1 and KCNQ3 Gene and Milk Quality Traits in Gannan Yak (Bos grunniens). Foods. 13(5). 781–781. 3 indexed citations
3.
Ma, Xiaoming, Yongfu La, Xian Guo, et al.. (2024). Polymorphisms of ITGA9 Gene and Their Correlation with Milk Quality Traits in Yak (Bos grunniens). Foods. 13(11). 1613–1613. 3 indexed citations
4.
Zhang, Chenyang, Yongfu La, Xiaoming Ma, et al.. (2024). The effects of different doses of compound enzyme preparations on the production performance, meat quality and rumen microorganisms of yak were studied by metagenomics and transcriptomics. Frontiers in Microbiology. 15. 1491551–1491551. 2 indexed citations
5.
Huan, Changchao, Ping Yan, Fan Yang, et al.. (2024). The 25-kDa linear polyethylenimine exerts specific antiviral activity against pseudorabies virus through interferencing its adsorption via electrostatic interaction. Journal of Virology. 98(3). e0000724–e0000724. 2 indexed citations
6.
La, Yongfu, Xiaoming Ma, Pengjia Bao, et al.. (2023). Genome-Wide Landscape of mRNAs, lncRNAs, and circRNAs during Testicular Development of Yak. International Journal of Molecular Sciences. 24(5). 4420–4420. 9 indexed citations
7.
Liu, Xinfeng, Wenyu Liu, Johannes A. Lenstra, et al.. (2023). Evolutionary origin of genomic structural variations in domestic yaks. Nature Communications. 14(1). 5617–5617. 27 indexed citations
8.
Huan, Changchao, Yutong Hou, Ping Yan, et al.. (2023). Porcine IGFBP3 promotes porcine circovirus type 2 replication via PERK/eIF2α mediated DNA damage. Veterinary Microbiology. 287. 109897–109897.
9.
Yang, Guowu, Rong Ma, Xiaoming Ma, et al.. (2023). Polymorphisms of CCSER1 Gene and Their Correlation with Milk Quality Traits in Gannan Yak (Bos grunniens). Foods. 12(23). 4318–4318. 6 indexed citations
10.
Xiong, Lin, Jie Pei, Pengjia Bao, et al.. (2023). The Effect of the Feeding System on Fat Deposition in Yak Subcutaneous Fat. International Journal of Molecular Sciences. 24(8). 7381–7381. 10 indexed citations
11.
Wu, Xiaoyun, Xuezhi Ding, Xian Guo, et al.. (2019). Characterization of the complete mitochondrial genome of the Huanhu Yak ( Bos Grunniens ). SHILAP Revista de lepidopterología. 4(1). 1235–1236. 2 indexed citations
12.
Yu, Shuhong, et al.. (2019). A new missense mutation c.692C>A caused a weak Ael phenotype in a Chinese individual. Transfusion. 59(10). E6–E7. 1 indexed citations
13.
Pei, Jie, Pengjia Bao, Min Chu, et al.. (2018). Evaluation of 17 microsatellite markers for parentage testing and individual identification of domestic yak ( Bos grunniens ). PeerJ. 6. e5946–e5946. 15 indexed citations
14.
Bao, Pengjia, Ping Yan, Chunnian Liang, et al.. (2012). Genetic diversity analysis of DRB3.2 in domestic yak (Bos grunniens) in Qinghai-Tibetan Plateau. AFRICAN JOURNAL OF BIOTECHNOLOGY. 11(87). 15272–15279. 1 indexed citations
15.
Yan, Ping. (2011). Association Analyses of SNPs in the Lpetin and SCD1 Gene on the Fatty Acid Content of Intramuscular Fat in Tianzhu White Yak. China Animal Husbandry & Veterinary Medicine. 1 indexed citations
16.
Zhang, Xia, et al.. (2008). Genetic Diversity of Achnatherum splendens. Anhui nongye kexue. 36(15). 6223–6224. 5 indexed citations
17.
Yan, Ping, et al.. (2006). Primary research on the halophyte flora in Xinjiang. Zhongguo shengtai nongye xuebao. 1 indexed citations
18.
Fu, Panfeng, et al.. (2004). Effects of transfection of human ribonuclease inhibitor gene on B16 melanoma cells and tumor metastasis. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 31(6). 523–531. 2 indexed citations
19.
Yan, Ping, et al.. (2003). Experiment of finishing and slaughtering of crossbred castrated bull of Simmental and Holstein with indigenous yellow cattle. Gansu Nongye Daxue xuebao. 38(3). 325–330. 1 indexed citations
20.
Wang, Zhenshan, Ping Yan, Xiangkun Wang, Hong Chen, & Li Zhu. (1996). Polymorphism of Chinese common wild rice (Oryza rufipogon) and cultivated rice (Oryza sativa L.) as determined by RAPDs [random amplified polymorphic DNA]. Journal of genetics & breeding. 3 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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