Fei Pu

2.4k total citations
63 papers, 1.3k citations indexed

About

Fei Pu is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Fei Pu has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 25 papers in Genetics and 21 papers in Immunology. Recurrent topics in Fei Pu's work include Aquaculture disease management and microbiota (18 papers), Genetic and phenotypic traits in livestock (16 papers) and Genomics and Phylogenetic Studies (14 papers). Fei Pu is often cited by papers focused on Aquaculture disease management and microbiota (18 papers), Genetic and phenotypic traits in livestock (16 papers) and Genomics and Phylogenetic Studies (14 papers). Fei Pu collaborates with scholars based in China, United States and Denmark. Fei Pu's co-authors include Peng Xu, Zhixiong Zhou, Huaqiang Bai, Qiaozhen Ke, Baohua Chen, Ji Zhao, Tao Zhou, Yidi Wu, Mingjun Li and Fengwang Ma and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Bacteriology.

In The Last Decade

Fei Pu

60 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Pu China 24 454 416 362 309 212 63 1.3k
Chunhua Zhu China 21 354 0.8× 295 0.7× 443 1.2× 464 1.5× 58 0.3× 102 1.3k
Binlun Yan China 18 116 0.3× 318 0.8× 514 1.4× 313 1.0× 89 0.4× 117 1.2k
Peng Sun China 22 95 0.2× 303 0.7× 665 1.8× 635 2.1× 104 0.5× 80 1.3k
Xianhu Zheng China 17 685 1.5× 328 0.8× 357 1.0× 214 0.7× 474 2.2× 60 1.3k
Wei Luo China 22 430 0.9× 533 1.3× 739 2.0× 649 2.1× 497 2.3× 132 2.1k
Shijun Xiao China 20 335 0.7× 420 1.0× 203 0.6× 211 0.7× 301 1.4× 50 1.0k
Bao-Suo Liu China 20 145 0.3× 318 0.8× 530 1.5× 605 2.0× 53 0.3× 121 1.3k
Aiguo Yang China 22 162 0.4× 655 1.6× 106 0.3× 135 0.4× 747 3.5× 138 1.6k
Young‐Don Lee South Korea 18 162 0.4× 241 0.6× 390 1.1× 163 0.5× 95 0.4× 95 977

Countries citing papers authored by Fei Pu

Since Specialization
Citations

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

Fields of papers citing papers by Fei Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Pu

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Pu. A scholar is included among the top collaborators of Fei Pu 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 Fei Pu. Fei Pu 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.
Jiang, Yue, Bo Liu, Rui Li, et al.. (2025). Molecular characterization of laao in large yellow croaker and its functional response to Cryptocaryon irritans infection. Developmental & Comparative Immunology. 174. 105540–105540.
2.
Zhao, Ji, et al.. (2025). Detecting Deleterious Recessive Variants in Large Yellow Croaker Using Data from 7337 Individuals. Marine Biotechnology. 27(4). 105–105. 1 indexed citations
3.
Zhao, Ji, Jiaying Wang, Yue Liu, et al.. (2024). High-intensity exercise training in large yellow croaker is a compromise between disease resistance and fish welfare. Aquaculture. 590. 741043–741043.
4.
Chen, Xintong, Qian He, Qiaozhen Ke, et al.. (2024). Chromosome-level genome assembly for three geographical stocks of large yellow croaker (Larimichthys crocea). Scientific Data. 11(1). 1364–1364. 4 indexed citations
5.
Zhou, Zhixiong, Jun‐Yi Yang, Yulin Bai, et al.. (2024). Chromosome-level assembly and gene annotation of Decapterus maruadsi genome using Nanopore and Hi-C technologies. Scientific Data. 11(1). 69–69. 5 indexed citations
6.
Liu, Yue, Yulin Bai, Sijing Chen, et al.. (2024). Molecular characterization, expression pattern and immunologic function of CD82a in large yellow croaker (Larimichthys crocea). Frontiers in Immunology. 15. 1301877–1301877. 2 indexed citations
7.
Wang, Shufang, Guibin Wang, Shichun Lu, et al.. (2022). Proteome expression profiling of red blood cells during the tumorigenesis of hepatocellular carcinoma. PLoS ONE. 17(11). e0276904–e0276904. 2 indexed citations
8.
Liu, Bo, Zhixiong Zhou, Yulin Bai, et al.. (2021). Genome-Scale Phylogenetic and Population Genetic Studies Provide Insight Into Introgression and Adaptive Evolution of Takifugu Species in East Asia. Frontiers in Genetics. 12. 625600–625600. 8 indexed citations
9.
Zhao, Ji, Tao Zhou, Huaqiang Bai, et al.. (2021). Genome-Wide Association Analysis Reveals the Genetic Architecture of Parasite (Cryptocaryon irritans) Resistance in Large Yellow Croaker (Larimichthys crocea). Marine Biotechnology. 23(2). 242–254. 34 indexed citations
10.
Huanling, Lin, Zhixiong Zhou, Ji Zhao, et al.. (2020). Genome-Wide Association Study Identifies Genomic Loci of Sex Determination and Gonadosomatic Index Traits in Large Yellow Croaker (Larimichthys crocea). Marine Biotechnology. 23(1). 127–139. 24 indexed citations
11.
Zhou, Zhixiong, Tao Zhou, Ji Zhao, et al.. (2020). Genome-Wide Association Study of Body Shape-Related Traits in Large Yellow Croaker (Larimichthys crocea). Marine Biotechnology. 22(5). 631–643. 14 indexed citations
12.
Zhang, Xinyi, Tao Zhou, Baohua Chen, et al.. (2020). Identification and Expression Analysis of Long Non-coding RNA in Large Yellow Croaker (Larimichthys crocea) in Response to Cryptocaryon irritans Infection. Frontiers in Genetics. 11. 590475–590475. 19 indexed citations
13.
Zhou, Tao, Baohua Chen, Qiaozhen Ke, et al.. (2020). Development and Evaluation of a High-Throughput Single-Nucleotide Polymorphism Array for Large Yellow Croaker (Larimichthys crocea). Frontiers in Genetics. 11. 571751–571751. 27 indexed citations
14.
Shi, Yue, Zhixiong Zhou, Bo Liu, et al.. (2020). Construction of a High-Density Genetic Linkage Map and QTL Mapping for Growth-Related Traits in Takifugu bimaculatus. Marine Biotechnology. 22(1). 130–144. 23 indexed citations
15.
Zhou, Tao, Chuanju Dong, Lin Chen, et al.. (2019). Genome-wide identification, evolution, and mRNA expression of complement genes in common carp (Cyprinus carpio). Fish & Shellfish Immunology. 96. 190–200. 13 indexed citations
16.
Jiang, Yao, et al.. (2019). Identification of genes related to low‐grade glioma progression and prognosis based on integrated transcriptome analysis. Journal of Cellular Biochemistry. 121(5-6). 3099–3111. 27 indexed citations
17.
Chen, Baohua, Yun Li, Wenzhu Peng, et al.. (2019). Chromosome-Level Assembly of the Chinese Seabass (Lateolabrax maculatus) Genome. Frontiers in Genetics. 10. 275–275. 26 indexed citations
18.
Zhou, Zhixiong, Kunhuang Han, Yidi Wu, et al.. (2019). Genome-Wide Association Study of Growth and Body-Shape-Related Traits in Large Yellow Croaker (Larimichthys crocea) Using ddRAD Sequencing. Marine Biotechnology. 21(5). 655–670. 58 indexed citations
19.
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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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