Peng Luan

489 total citations
33 papers, 305 citations indexed

About

Peng Luan is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Peng Luan has authored 33 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 9 papers in Molecular Biology and 9 papers in Animal Science and Zoology. Recurrent topics in Peng Luan's work include Genetic and phenotypic traits in livestock (11 papers), Animal Nutrition and Physiology (9 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Peng Luan is often cited by papers focused on Genetic and phenotypic traits in livestock (11 papers), Animal Nutrition and Physiology (9 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Peng Luan collaborates with scholars based in China, Czechia and United States. Peng Luan's co-authors include Zhiping Cao, Yumao Li, Hui Li, Hui Zhang, Zuliang Lu, Yanping Chen, Li Leng, Fan Xiao, Xinyang Zhang and Shouzhi Wang and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Peng Luan

29 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peng Luan China	10	121	96	87	57	23	33	305
Shuaishuai Wu China	11	67 0.6×	48 0.5×	66 0.8×	7 0.1×	42 1.8×	24	352
Zhaozheng Yin China	10	26 0.2×	61 0.6×	40 0.5×	16 0.3×	5 0.2×	18	244
Yiwu Chen China	12	104 0.9×	110 1.1×	94 1.1×	9 0.2×	3 0.1×	28	440
Parvesh Kumari India	10	82 0.7×	105 1.1×	117 1.3×	41 0.7×		20	304
Yunhan Yang China	13	23 0.2×	61 0.6×	124 1.4×	62 1.1×	20 0.9×	20	460
Yaxi Xu China	13	175 1.4×	75 0.8×	107 1.2×	63 1.1×		32	407
Dengying Liu China	11	95 0.8×	33 0.3×	21 0.2×	28 0.5×	49 2.1×	39	356
Jinying Ma China	11	94 0.8×	14 0.1×	140 1.6×	28 0.5×	3 0.1×	29	478
Tao Wei China	7	39 0.3×	9 0.1×	45 0.5×	10 0.2×	37 1.6×	22	243
Pinghua Li China	11	136 1.1×	93 1.0×	86 1.0×	57 1.0×	1 0.0×	28	362

Countries citing papers authored by Peng Luan

Since Specialization

Citations

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

Fields of papers citing papers by Peng Luan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Luan

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Luan. A scholar is included among the top collaborators of Peng Luan 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 Peng Luan. Peng Luan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Hongsheng, Xintong Liu, Cheng Chang, et al.. (2025). Optimization of Genomic Breeding Value Estimation Model for Abdominal Fat Traits Based on Machine Learning. Animals. 15(19). 2843–2843.

Luan, Peng, Yi Han, Wei Jiang, et al.. (2025). Characterization of a prototype of the fast scintillator-based neutron total cross-section spectrometer on the Back-n at CSNS. Nuclear Science and Techniques. 36(10).

Zhang, Huili, Xiaoxiang Cao, Li Leng, et al.. (2025). Functional analysis of lncRNAs in lipid metabolism of fat and lean line broiler embryonic livers. Poultry Science. 104(8). 105261–105261.

Luan, Peng, et al.. (2024). A quantitative equation for umami evaluation of food and condiments based on the Weber-Fechner law. Food Quality and Preference. 123. 105347–105347. 1 indexed citations

Wang, Shuping, Yan Song, Zhiping Cao, et al.. (2024). CTGF Inhibits the Differentiation of Chicken Preadipocytes via the TGFβ/Smad3 Signaling Pathway or by Inducing the Expression of ACTG2. Journal of Agricultural and Food Chemistry. 72(35). 19413–19423. 1 indexed citations

Bai, Xue, Cheng Chang, Xinquan Li, et al.. (2024). Integrative 3D genomics with multi-omics analysis and functional validation of genetic regulatory mechanisms of abdominal fat deposition in chickens. Nature Communications. 15(1). 9274–9274. 9 indexed citations

Liu, Jie, Shijie Zhou, Yumao Li, et al.. (2024). A Study on the Growth and Development Characteristics of Lindian Chickens. Animals. 14(2). 354–354. 2 indexed citations

Liu, Bo, et al.. (2024). Multi-Scale Dense Description for Blind Image Quality Assessment. 1–6.

Feng, Hongbin, et al.. (2023). Novel competitive electrochemical impedance biosensor for the ultrasensitive detection of umami substances based on Pd/Cu-TCPP(Fe). Food Chemistry. 438. 137631–137631. 11 indexed citations

10.

Chen, Hongyan, Qi Zhang, Li Leng, et al.. (2023). HBP1 promotes chicken preadipocyte proliferation via directly repressing SOCS3 transcription. International Journal of Biological Macromolecules. 256(Pt 2). 128414–128414. 3 indexed citations

11.

Ma, Yanyan, Jing Yang, Li Leng, et al.. (2023). Comparative analyses of laying performance and follicular development characteristics between fat and lean broiler lines. Poultry Science. 103(1). 103250–103250. 7 indexed citations

12.

Yang, Jing, Melissa S. Monson, Peng Wang, et al.. (2022). Multi-Omics Association Reveals the Effects of Intestinal Microbiome–Host Interactions on Fat Deposition in Broilers. Frontiers in Microbiology. 12. 815538–815538. 19 indexed citations

13.

Zhang, Xuanchang, Hailong Shi, Xiaojun Wang, et al.. (2022). Processing, Microstructure, and Mechanical Behavior of Az31 Magnesium Alloy Fabricated by Electron Beam Additive Manufacturing. SSRN Electronic Journal. 2 indexed citations

14.

Zhang, Xuanchang, Hailong Shi, Xiaojun Wang, et al.. (2022). Processing, microstructure, and mechanical behavior of AZ31 magnesium alloy fabricated by electron beam additive manufacturing. Journal of Alloys and Compounds. 938. 168567–168567. 20 indexed citations

15.

Zhang, Xinyang, Chang Liu, Zhiping Cao, et al.. (2021). Transcription Factor 21 Promotes Chicken Adipocyte Differentiation at Least in Part via Activating MAPK/JNK Signaling. Genes. 12(12). 1971–1971. 6 indexed citations

16.

Zhang, Hui, Luke Kramer, Xinyang Zhang, et al.. (2020). Haplotype-based genome-wide association studies for carcass and growth traits in chicken. Poultry Science. 99(5). 2349–2361. 44 indexed citations

17.

Wang, Zhongbin, Zhi‐Qiang Du, Na Wei, et al.. (2018). Production of transgenic broilers by non-viral vectors via optimizing egg windowing and screening transgenic roosters. Poultry Science. 98(1). 430–439. 6 indexed citations

18.

Zhang, Yuanliang, et al.. (2015). Genetic analysis on rose-comb, fishy taint and dwarf traits in Lindian chicken population.. 37(14). 7–12. 2 indexed citations

19.

Zhang, Qi, Songsong Xu, Peng Luan, et al.. (2015). Differential expression of six chicken genes associated with fatness traits in a divergently selected broiler population. Molecular and Cellular Probes. 30(1). 1–5. 12 indexed citations

20.

Wang, Weishi, Zhi‐Qiang Du, Yuxiang Wang, et al.. (2015). Expression Profiling of Preadipocyte MicroRNAs by Deep Sequencing on Chicken Lines Divergently Selected for Abdominal Fatness. PLoS ONE. 10(2). e0117843–e0117843. 24 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.

Explore authors with similar magnitude of impact