Cuili Pan

440 total citations
28 papers, 295 citations indexed

About

Cuili Pan is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Cuili Pan has authored 28 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Plant Science and 8 papers in Genetics. Recurrent topics in Cuili Pan's work include Wheat and Barley Genetics and Pathology (9 papers), Plant Disease Resistance and Genetics (9 papers) and Genetic and phenotypic traits in livestock (6 papers). Cuili Pan is often cited by papers focused on Wheat and Barley Genetics and Pathology (9 papers), Plant Disease Resistance and Genetics (9 papers) and Genetic and phenotypic traits in livestock (6 papers). Cuili Pan collaborates with scholars based in China. Cuili Pan's co-authors include Jinpeng Zhang, Yuqing Lu, Xiuquan Li, Weihua Liu, Lihui Li, Shuzhe Wang, Xinming Yang, Yun Ma, Chaoyun Yang and Huanhuan Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Cuili Pan

28 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cuili Pan China 12 177 92 75 51 21 28 295
Lei Du China 7 93 0.5× 89 1.0× 118 1.6× 94 1.8× 15 0.7× 13 284
Shan Meng China 10 283 1.6× 92 1.0× 85 1.1× 12 0.2× 8 0.4× 20 334
B. Rejduch Poland 10 83 0.5× 244 2.7× 100 1.3× 29 0.6× 31 1.5× 58 318
Tao Shi China 9 55 0.3× 140 1.5× 136 1.8× 35 0.7× 12 0.6× 13 232
Xiaopeng Wang China 10 125 0.7× 261 2.8× 36 0.5× 83 1.6× 50 2.4× 18 315
Romain Philippe France 11 286 1.6× 109 1.2× 99 1.3× 28 0.5× 5 0.2× 15 367
Eryao Wang China 10 45 0.3× 198 2.2× 158 2.1× 68 1.3× 30 1.4× 39 297
Yukiyo Ito Japan 7 106 0.6× 204 2.2× 71 0.9× 24 0.5× 28 1.3× 8 243
Silu Hu China 9 32 0.2× 96 1.0× 169 2.3× 92 1.8× 33 1.6× 26 255

Countries citing papers authored by Cuili Pan

Since Specialization
Citations

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

Fields of papers citing papers by Cuili Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cuili Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Cuili Pan. A scholar is included among the top collaborators of Cuili Pan 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 Cuili Pan. Cuili Pan 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.
Pan, Cuili, et al.. (2024). SGK1 promotes the lipid accumulation via regulating the transcriptional activity of FOXO1 in bovine. BMC Genomics. 25(1). 737–737. 2 indexed citations
2.
Meng, Ke, et al.. (2024). Unlocking the genetic secrets of Dorper sheep: insights into wool shedding and hair follicle development. Frontiers in Veterinary Science. 11. 1489379–1489379. 1 indexed citations
3.
Sheng, Hui, Junxing Zhang, Cuili Pan, et al.. (2023). Genome-wide identification of bovine ADAMTS gene family and analysis of its expression profile in the inflammatory process of mammary epithelial cells. International Journal of Biological Macromolecules. 244. 125304–125304. 3 indexed citations
4.
Sheng, Hui, Junxing Zhang, Fen Li, et al.. (2023). Genome-Wide Identification and Characterization of Bovine Fibroblast Growth Factor (FGF) Gene and Its Expression during Adipocyte Differentiation. International Journal of Molecular Sciences. 24(6). 5663–5663. 3 indexed citations
5.
Zhang, Junxing, Hui Sheng, Cuili Pan, et al.. (2023). Identification of key genes in bovine muscle development by co-expression analysis. PeerJ. 11. e15093–e15093. 14 indexed citations
6.
Yang, Chaoyun, et al.. (2023). Characterization of feed efficiency-related key signatures molecular in different cattle breeds. PLoS ONE. 18(9). e0289939–e0289939. 4 indexed citations
7.
Liu, Jun, Cuili Pan, Hui Yue, et al.. (2023). Proteomic and metabolomic analysis of ageing beef exudate to determine that iron metabolism enhances muscle protein and lipid oxidation. Food Chemistry X. 20. 101038–101038. 3 indexed citations
8.
Pan, Cuili, Chaoyun Yang, Yanfen Ma, et al.. (2022). Identification of Key Genes Associated With Early Calf-Hood Nutrition in Subcutaneous and Visceral Adipose Tissues by Co-Expression Analysis. Frontiers in Veterinary Science. 9. 831129–831129. 2 indexed citations
9.
Wei, Dawei, Yanfen Ma, Lin Tang, et al.. (2022). miR-302b promotes bovine preadipocyte differentiation and inhibits proliferation by targetingCDK2. Animal Biotechnology. 34(4). 1447–1454. 1 indexed citations
10.
Pan, Cuili, Shuzhe Wang, Chaoyun Yang, et al.. (2022). Genome-wide identification and expression profiling analysis of Wnt family genes affecting adipocyte differentiation in cattle. Scientific Reports. 12(1). 489–489. 11 indexed citations
11.
Pan, Cuili, Haiming Han, Jinpeng Zhang, et al.. (2022). Identification of 5P Chromosomes in Wheat-Agropyron cristatum Addition Line and Analysis of Its Effect on Homologous Pairing of Wheat Chromosomes. Frontiers in Plant Science. 13. 844348–844348. 4 indexed citations
12.
13.
Sheng, Hui, Cuili Pan, Shuzhe Wang, et al.. (2022). Weighted Gene Co-Expression Network Analysis Identifies Key Modules and Central Genes Associated With Bovine Subcutaneous Adipose Tissue. Frontiers in Veterinary Science. 9. 914848–914848. 7 indexed citations
14.
Pan, Cuili, Chaoyun Yang, Shuzhe Wang, & Yun Ma. (2022). Identifying Key Genes and Functionally Enriched Pathways of Diverse Adipose Tissue Types in Cattle. Frontiers in Genetics. 13. 790690–790690. 7 indexed citations
15.
Wang, Shuzhe, Chaoyun Yang, Cuili Pan, et al.. (2022). Identification of key genes and functional enrichment pathways involved in fat deposition in Xinyang buffalo by WGCNA. Gene. 818. 146225–146225. 7 indexed citations
16.
Pan, Cuili, Shuzhe Wang, Xinping Wang, et al.. (2021). Genome-wide identification of cyclin-dependent kinase (CDK) genes affecting adipocyte differentiation in cattle. BMC Genomics. 22(1). 532–532. 23 indexed citations
17.
Wang, Shuzhe, Cuili Pan, Xiaojie Ma, et al.. (2021). Identification and Functional Verification Reveals that miR-195 Inhibiting THRSP to Affect Fat Deposition in Xinyang Buffalo. Frontiers in Genetics. 12. 736441–736441. 7 indexed citations
18.
Pan, Cuili, Yuqing Lu, Jinpeng Zhang, et al.. (2017). Chromosomal localization of genes conferring desirable agronomic traits from Agropyron cristatum chromosome 1P. PLoS ONE. 12(4). e0175265–e0175265. 16 indexed citations
19.
Song, Liqiang, Yuqing Lu, Jinpeng Zhang, et al.. (2016). Physical mapping of Agropyron cristatum chromosome 6P using deletion lines in common wheat background. Theoretical and Applied Genetics. 129(5). 1023–1034. 33 indexed citations
20.
Lu, Yuqing, Cuili Pan, Jinpeng Zhang, et al.. (2016). Chromosomal Localization of Genes Conferring Desirable Agronomic Traits from Wheat-Agropyron cristatum Disomic Addition Line 5113. PLoS ONE. 11(11). e0165957–e0165957. 12 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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