Qiong Shi

7.0k total citations
183 papers, 3.0k citations indexed

About

Qiong Shi is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Qiong Shi has authored 183 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Molecular Biology, 53 papers in Immunology and 50 papers in Genetics. Recurrent topics in Qiong Shi's work include Aquaculture disease management and microbiota (51 papers), Genomics and Phylogenetic Studies (46 papers) and Aquaculture Nutrition and Growth (26 papers). Qiong Shi is often cited by papers focused on Aquaculture disease management and microbiota (51 papers), Genomics and Phylogenetic Studies (46 papers) and Aquaculture Nutrition and Growth (26 papers). Qiong Shi collaborates with scholars based in China, United States and Macao. Qiong Shi's co-authors include Xinxin You, Chao Bian, Jia Li, Yunhai Yi, Yu Huang, Xinxin Shan, Yunyun Lv, David C. Klein, Fabrice Morin and Chao Peng and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Qiong Shi

169 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiong Shi China 31 1.4k 803 721 692 471 183 3.0k
Tohru Suzuki Japan 32 1.3k 1.0× 508 0.6× 433 0.6× 635 0.9× 172 0.4× 102 2.7k
Wei Hu China 34 1.5k 1.1× 1.4k 1.8× 862 1.2× 938 1.4× 237 0.5× 207 4.1k
Ronald B. Walter United States 30 1.3k 1.0× 998 1.2× 318 0.4× 301 0.4× 456 1.0× 130 3.2k
Xiaochun Liu China 40 1.2k 0.8× 1.7k 2.2× 745 1.0× 613 0.9× 212 0.5× 216 4.6k
Daniel J. Macqueen United Kingdom 28 1.2k 0.9× 902 1.1× 955 1.3× 973 1.4× 787 1.7× 81 3.1k
Xu‐Fang Liang China 33 869 0.6× 380 0.5× 1.6k 2.3× 2.2k 3.2× 481 1.0× 234 3.7k
Haoran Lin China 42 1.2k 0.8× 2.4k 2.9× 1.5k 2.1× 1.4k 2.0× 421 0.9× 295 6.0k
Zuoyan Zhu China 39 3.2k 2.3× 2.2k 2.8× 1.6k 2.2× 734 1.1× 330 0.7× 274 6.2k
Jorge M. O. Fernandes Norway 40 1.6k 1.1× 717 0.9× 2.5k 3.5× 1.8k 2.6× 768 1.6× 179 5.1k
Héctor Escrivá France 35 2.9k 2.1× 1.4k 1.8× 436 0.6× 337 0.5× 357 0.8× 93 4.8k

Countries citing papers authored by Qiong Shi

Since Specialization
Citations

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

Fields of papers citing papers by Qiong Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiong Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Qiong Shi. A scholar is included among the top collaborators of Qiong Shi 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 Qiong Shi. Qiong Shi 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.
Huang, Yuanqing, Xinhui Zhang, Chao Bian, et al.. (2025). Allelic variation and duplication of the dmrt1 were associated with sex chromosome turnover in three representative Scatophagidae fish species. Communications Biology. 8(1). 627–627.
2.
Bian, Chao, et al.. (2025). A complete telomere-to-telomere chromosome-level genome assembly of X-ray tetra (Pristella maxillaris). Scientific Data. 12(1). 496–496. 1 indexed citations
3.
Li, Yanping, Yü Huang, Jun Wang, et al.. (2024). Deciphering genome-wide molecular pathways for exogenous Aeromonas hydrophila infection in wide-bodied sand loach (Sinibotia reevesae). Aquaculture Reports. 35. 102033–102033. 3 indexed citations
4.
Huang, Yu, et al.. (2024). Fish Genomics and Its Application in Disease‐Resistance Breeding. Reviews in Aquaculture. 17(1). 14 indexed citations
5.
Zhang, Kai, Yu Huang, Yuxuan Zhang, et al.. (2023). A chromosome-level reference genome assembly of the Reeve’s moray eel (Gymnothorax reevesii). Scientific Data. 10(1). 501–501. 7 indexed citations
6.
Bian, Chao, Yu Huang, Ruihan Li, et al.. (2023). Genomics comparisons of three chromosome-level mudskipper genome assemblies reveal molecular clues for water-to-land evolution and adaptation. Journal of Advanced Research. 58. 93–104. 4 indexed citations
7.
8.
Lu, Yishan, Ruihan Li, Liqun Xia, et al.. (2022). A chromosome-level genome assembly of the jade perch (Scortum barcoo). Scientific Data. 9(1). 408–408. 7 indexed citations
9.
Mu, Xidong, Chao Liu, Chenxi Zhao, et al.. (2022). Identification of candidate sex-specific genomic regions in male and female Asian arowana genomes. GigaScience. 11. 3 indexed citations
10.
Mu, Yinnan, Chao Bian, R. Liu, et al.. (2021). Whole genome sequencing of a snailfish from the Yap Trench (~7,000 m) clarifies the molecular mechanisms underlying adaptation to the deep sea. PLoS Genetics. 17(5). e1009530–e1009530. 31 indexed citations
11.
Wen, Zhengyong, Yang Li, Chao Bian, et al.. (2020). Characterization of two kcnk3 genes in rabbitfish (Siganus canaliculatus): Molecular cloning, distribution patterns and their potential roles in fatty acids metabolism and osmoregulation. General and Comparative Endocrinology. 296. 113546–113546. 6 indexed citations
12.
Wen, Zhengyong, Yang Li, Yang Li, et al.. (2020). Genome-wide identification of a novel elovl4 gene and its transcription in response to nutritional and osmotic regulations in rabbitfish (Siganus canaliculatus). Aquaculture. 529. 735666–735666. 8 indexed citations
13.
Liu, Xiao, Chao Li, Min Chen, et al.. (2020). Draft genomes of two Atlantic bay scallop subspecies Argopecten irradians irradians and A. i. concentricus. Scientific Data. 7(1). 99–99. 34 indexed citations
14.
Huang, Yuting, Chao Bian, Zhaoqun Liu, et al.. (2020). The First Genome Survey of the Antarctic Krill (Euphausia superba) Provides a Valuable Genetic Resource for Polar Biomedical Research. Marine Drugs. 18(4). 185–185. 11 indexed citations
15.
16.
Lv, Yunyun, Yanping Li, Yunhai Yi, et al.. (2018). A Genomic Survey of Angiotensin-Converting Enzymes Provides Novel Insights into Their Molecular Evolution in Vertebrates. Molecules. 23(11). 2923–2923. 14 indexed citations
17.
You, Xinxin, Jia Li, Chao Bian, et al.. (2018). Mudskippers and Their Genetic Adaptations to an Amphibious Lifestyle. Animals. 8(2). 24–24. 30 indexed citations
18.
Huang, Yu, Chao Peng, Yunhai Yi, Bingmiao Gao, & Qiong Shi. (2017). A Transcriptomic Survey of Ion Channel-Based Conotoxins in the Chinese Tubular Cone Snail (Conus betulinus). Marine Drugs. 15(7). 228–228. 7 indexed citations
19.
Xie, Bing, Yu Huang, Kate Baumann, Bryan G. Fry, & Qiong Shi. (2017). From Marine Venoms to Drugs: Efficiently Supported by a Combination of Transcriptomics and Proteomics. Marine Drugs. 15(4). 103–103. 27 indexed citations
20.
Muñoz, Estela M., Michael Bailey, Martin F. Rath, et al.. (2007). NeuroD1: developmental expression and regulated genes in the rodent pineal gland. Journal of Neurochemistry. 102(3). 887–899. 37 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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