Shaojun Liu

8.2k total citations · 1 hit paper
301 papers, 5.6k citations indexed

About

Shaojun Liu is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Shaojun Liu has authored 301 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Genetics, 111 papers in Plant Science and 93 papers in Molecular Biology. Recurrent topics in Shaojun Liu's work include Chromosomal and Genetic Variations (111 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (94 papers) and Reproductive biology and impacts on aquatic species (64 papers). Shaojun Liu is often cited by papers focused on Chromosomal and Genetic Variations (111 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (94 papers) and Reproductive biology and impacts on aquatic species (64 papers). Shaojun Liu collaborates with scholars based in China, Singapore and United States. Shaojun Liu's co-authors include Min Tao, Qinbo Qin, Jun Xiao, Kaikun Luo, Yun Liu, Decai Zhang, Zhaoqi Li, Yun Liu, Rui Wang and Rurong Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Shaojun Liu

291 papers receiving 5.5k citations

Hit Papers

Global, regional and national burden of inflammatory bowe... 2023 2026 2024 2025 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaojun Liu China 37 2.6k 1.6k 1.4k 1.3k 1.2k 301 5.6k
Wei Hu China 34 1.4k 0.5× 1.5k 0.9× 200 0.1× 938 0.7× 862 0.7× 207 4.1k
Wenjing Tao China 34 1.5k 0.6× 1.3k 0.8× 484 0.3× 416 0.3× 368 0.3× 157 3.6k
Takeshi Miura Japan 37 2.2k 0.9× 943 0.6× 322 0.2× 1.3k 0.9× 281 0.2× 155 5.6k
José M. Bautista Spain 42 731 0.3× 1.9k 1.2× 151 0.1× 1.9k 1.4× 1.5k 1.2× 153 5.8k
Michiaki Yamashita Japan 36 739 0.3× 1.6k 1.0× 154 0.1× 694 0.5× 554 0.4× 112 4.0k
Jaume Pérez‐Sánchez Spain 55 845 0.3× 1.3k 0.8× 243 0.2× 6.3k 4.7× 5.0k 4.0× 222 9.4k
Ziping Zhang China 30 700 0.3× 860 0.5× 175 0.1× 751 0.6× 985 0.8× 223 3.2k
Michael Pack United States 43 608 0.2× 2.0k 1.3× 321 0.2× 1.1k 0.8× 784 0.6× 89 5.5k
Ting‐Fung Chan Hong Kong 41 657 0.3× 3.3k 2.1× 947 0.7× 294 0.2× 460 0.4× 189 5.7k
Wei Duan China 33 550 0.2× 1.7k 1.1× 1.9k 1.4× 257 0.2× 221 0.2× 92 3.5k

Countries citing papers authored by Shaojun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shaojun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaojun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shaojun Liu. A scholar is included among the top collaborators of Shaojun Liu 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 Shaojun Liu. Shaojun Liu 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.
Gu, Haoran, Qilong Liu, Yi Fan, et al.. (2024). A new method for creating androgenetic diploid fish from tetraploid carp sperm and their genetic composition analysis. Aquaculture. 590. 741077–741077.
2.
Zhang, Shuxin, Yude Wang, Ping Wu, et al.. (2024). Formation and characterization of artificial gynogenetic northern snakehead (Channa argus) induced by inactivated sperm of mandarin fish (Siniperca chuatsi). Aquaculture. 595. 741488–741488. 1 indexed citations
3.
4.
Liu, Mingli, Hong Chen, Pengfei Yu, et al.. (2024). Induction of diploid gynogenesis in Micropterus salmoides using irradiated heterogeneous sperm from Siniperca chuatsi. Aquaculture. 590. 741021–741021. 6 indexed citations
5.
Yang, Conghui, Qiong Liu, Yating Zhu, et al.. (2024). Different ploidy-level hybrids derived from female common carp × male topmouth culter. Aquaculture. 594. 741366–741366. 1 indexed citations
6.
Liu, Shaojun, et al.. (2024). N6-methyladenosine-dependent signaling in colorectal cancer: Functions and clinical potential. Critical Reviews in Oncology/Hematology. 198. 104360–104360. 3 indexed citations
7.
Luo, Mengxue, et al.. (2024). Variation and Interaction of Distinct Subgenomes Contribute to Growth Diversity in Intergeneric Hybrid Fish. Genomics Proteomics & Bioinformatics. 22(6). 2 indexed citations
8.
Wang, Min, Zijian Guo, Juan Li, et al.. (2024). Characterization of allodiploid and allotriploid fish derived from hybridization between Cyprinus carpio haematopterus (♀) and Gobiocypris rarus (♂). SHILAP Revista de lepidopterología. 4(1). 46–54.
9.
Li, Wuhui, Hongqing Li, Zexun Zhou, et al.. (2024). Comparative transcriptomic analysis of the brain-liver Axis reveals molecular mechanisms underlying acute cold stress response in Gynogenetic Mrigal carp. Aquaculture. 588. 740908–740908. 5 indexed citations
10.
Wen, Ming, Siyu Wang, Chunchun Zhu, et al.. (2024). Identification of sex locus and a male-specific marker in blunt-snout bream (Megalobrama amblycephala) using a whole genome resequencing method. Aquaculture. 582. 740559–740559. 7 indexed citations
11.
Hu, Biao, Yude Wang, Geng Chen, et al.. (2023). Comprehensive analysis of the immunological differences in the intestinal barrier of improved grass carp and their parents. Aquaculture. 577. 739931–739931. 8 indexed citations
12.
Zhou, Rong, Ying Chen, Shudong Yang, et al.. (2023). Molecular characterization of diploid YY sperm related to its developmental advantages. Aquaculture. 570. 739397–739397. 1 indexed citations
13.
Gong, Dingbin, Xueyan Wang, Min Tao, et al.. (2023). Protection and utilization status of Parabramis and Megalobrama germplasm resources. SHILAP Revista de lepidopterología. 3(1). 26–34. 7 indexed citations
14.
Yu, Pengfei, Hong Chen, Mingli Liu, et al.. (2023). Study of biological characteristics of an improved Japanese white crucian carp lineage derived from Carassius cuvieri (♀) × Megalobrama amblycephala (♂). Aquaculture. 577. 739955–739955. 2 indexed citations
15.
17.
Wang, Rui, Zhaoqi Li, Shaojun Liu, & Decai Zhang. (2023). Global, regional, and national burden of 10 digestive diseases in 204 countries and territories from 1990 to 2019. Frontiers in Public Health. 11. 1061453–1061453. 48 indexed citations
18.
Wang, Lingxiang, Yun Wu, Li Ren, et al.. (2022). Proteomics-based molecular and functional characteristic profiling of muscle tissue in Triploid crucian carp. Molecular Omics. 18(10). 967–976. 1 indexed citations
19.
Liu, Qingfeng, Kaikun Luo, Fanglei Liu, et al.. (2021). A new type of triploid fish derived from the diploid hybrid crucian carp (♀) × autotetraploid fish (♂). SHILAP Revista de lepidopterología. 1(2). 122–127. 12 indexed citations
20.
Huang, Wen, Qizhi Liu, Junfeng Xie, et al.. (2014). Characterization of triploid hybrid groupers from interspecies hybridization (Epinephelus coioides♀ ×Epinephelus lanceolatus♂). Aquaculture Research. 47(7). 2195–2204. 28 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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