Dailu Guan

833 total citations
27 papers, 212 citations indexed

About

Dailu Guan is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Dailu Guan has authored 27 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 12 papers in Molecular Biology and 10 papers in Cancer Research. Recurrent topics in Dailu Guan's work include Genetic and phenotypic traits in livestock (14 papers), Cancer-related molecular mechanisms research (10 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Dailu Guan is often cited by papers focused on Genetic and phenotypic traits in livestock (14 papers), Cancer-related molecular mechanisms research (10 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Dailu Guan collaborates with scholars based in Spain, United States and China. Dailu Guan's co-authors include Marcel Amills, Vincenzo Landi, Amparo Martínez, Juan Vicente Delgado Bermejo, Javier Fernández Álvarez, Jiahua Zhang, Yongju Zhao, Risu Na, Zhongquan Zhao and Yongfu Huang and has published in prestigious journals such as Nucleic Acids Research, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Dailu Guan

24 papers receiving 212 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dailu Guan Spain 9 165 66 55 37 36 27 212
Rabia Letaïef France 6 225 1.4× 83 1.3× 55 1.0× 44 1.2× 57 1.6× 7 254
Tianliu Zhang China 10 181 1.1× 77 1.2× 59 1.1× 13 0.4× 44 1.2× 18 231
Yangyang Bai China 12 134 0.8× 54 0.8× 110 2.0× 78 2.1× 41 1.1× 34 297
Qizhi Song China 11 132 0.8× 55 0.8× 95 1.7× 12 0.3× 44 1.2× 22 283
Felipe Avila United States 10 227 1.4× 16 0.2× 64 1.2× 66 1.8× 46 1.3× 23 301
Chenghao Zhou China 7 175 1.1× 88 1.3× 59 1.1× 19 0.5× 68 1.9× 15 232
Qixin Guo China 9 94 0.6× 43 0.7× 106 1.9× 30 0.8× 8 0.2× 34 219
Rashid Saif Pakistan 6 107 0.6× 28 0.4× 47 0.9× 22 0.6× 24 0.7× 32 168
Lei Du China 7 89 0.5× 94 1.4× 118 2.1× 93 2.5× 15 0.4× 13 284
Chae-Kyoung Yoo South Korea 10 189 1.1× 65 1.0× 48 0.9× 15 0.4× 12 0.3× 21 232

Countries citing papers authored by Dailu Guan

Since Specialization
Citations

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

Fields of papers citing papers by Dailu Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dailu Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Dailu Guan. A scholar is included among the top collaborators of Dailu Guan 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 Dailu Guan. Dailu Guan 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.
2.
Hou, Yali, Dong Zou, Bujie Zhan, et al.. (2025). The ChickenGTEx portal: a pan-tissue catalogue of regulatory variants shaping transcriptomic and phenotypic diversity. Nucleic Acids Research. 54(D1). D982–D993.
3.
Li, Xiaochang, Dailu Guan, Huaijun Zhou, et al.. (2024). Age-dependent genetic architectures of chicken body weight explored by multidimensional GWAS and molQTL analyses. Journal of genetics and genomics. 51(12). 1423–1434. 8 indexed citations
4.
Liu, Bin, Shanshan Song, Lihong Su, et al.. (2024). A nanopore-based cucumber genome assembly reveals structural variations at two QTLs controlling hypocotyl elongation. PLANT PHYSIOLOGY. 195(2). 970–985. 2 indexed citations
5.
Guan, Dailu, et al.. (2024). The landscape of long noncoding RNA expression in the goat brain. Journal of Dairy Science. 107(6). 4075–4091. 4 indexed citations
6.
Charles, Mathieu, Sylvain Foissac, Dailu Guan, et al.. (2024). Enriched atlas of lncRNA and protein-coding genes for the GRCg7b chicken assembly and its functional annotation across 47 tissues. Scientific Reports. 14(1). 6588–6588. 8 indexed citations
7.
Ceccobelli, Simone, Dailu Guan, Francesco Perini, et al.. (2024). Population structure and identification of genomic regions associated with productive traits in five Italian beef cattle breeds. Scientific Reports. 14(1). 8529–8529. 4 indexed citations
9.
Guan, Dailu, et al.. (2023). Univariate and multivariate genome‐wide association studies for hematological traits in Murciano‐Granadina goats. Animal Genetics. 54(4). 491–499. 3 indexed citations
10.
Li, Jinghui, Dailu Guan, Zhangyuan Pan, et al.. (2023). Learning functional conservation between human and pig to decipher evolutionary mechanisms underlying gene expression and complex traits. Cell Genomics. 3(10). 100390–100390. 6 indexed citations
11.
Guan, Dailu, et al.. (2023). A protein-coding gene expression atlas from the brain of pregnant and non-pregnant goats. Frontiers in Genetics. 14. 1114749–1114749. 2 indexed citations
12.
Guan, Dailu, Michelle M. Halstead, Alma Islas‐Trejo, et al.. (2022). Prediction of transcript isoforms in 19 chicken tissues by Oxford Nanopore long-read sequencing. Frontiers in Genetics. 13. 997460–997460. 5 indexed citations
13.
Fernández, Almudena, Amparo Martínez, Dailu Guan, et al.. (2022). Genomic patterns of homozygosity and inbreeding depression in Murciano-Granadina goats. Journal of Animal Science and Biotechnology. 13(1). 35–35. 13 indexed citations
14.
Guan, Dailu, et al.. (2021). Evolution of inbreeding: a gaze into five Italian beef cattle breeds history. PeerJ. 9. e12049–e12049. 5 indexed citations
15.
Mármol‐Sánchez, Emilio, Anna Castelló, Dailu Guan, et al.. (2021). Variability in porcine microRNA genes and its association with mRNA expression and lipid phenotypes. Genetics Selection Evolution. 53(1). 43–43. 5 indexed citations
16.
Guan, Dailu, Vincenzo Landi, Juan Vicente Delgado Bermejo, et al.. (2020). Analyzing the genomic and transcriptomic architecture of milk traits in Murciano-Granadina goats. Journal of Animal Science and Biotechnology. 11(1). 35–35. 20 indexed citations
17.
Landi, Vincenzo, Dailu Guan, Juan Vicente Delgado Bermejo, et al.. (2020). A genome-wide association analysis for body, udder, and leg conformation traits recorded in Murciano-Granadina goats. Journal of Dairy Science. 103(12). 11605–11617. 16 indexed citations
18.
Guan, Dailu, Amparo Martínez, Anna Castelló, et al.. (2020). A genome-wide analysis of copy number variation in Murciano-Granadina goats. Genetics Selection Evolution. 52(1). 44–44. 11 indexed citations
19.
Guan, Dailu, Emilio Mármol‐Sánchez, Tainã Figueiredo Cardoso, et al.. (2019). Genomic analysis of the origins of extant casein variation in goats. Journal of Dairy Science. 102(6). 5230–5241. 8 indexed citations
20.
Guan, Dailu, Zhongquan Zhao, Yongfu Huang, et al.. (2016). Scanning of selection signature provides a glimpse into important economic traits in goats (Capra hircus). Scientific Reports. 6(1). 36372–36372. 53 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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