Z. X. Sha

449 total citations
11 papers, 397 citations indexed

About

Z. X. Sha is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Z. X. Sha has authored 11 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Immunology. Recurrent topics in Z. X. Sha's work include Animal Genetics and Reproduction (5 papers), Aquaculture disease management and microbiota (4 papers) and Identification and Quantification in Food (2 papers). Z. X. Sha is often cited by papers focused on Animal Genetics and Reproduction (5 papers), Aquaculture disease management and microbiota (4 papers) and Identification and Quantification in Food (2 papers). Z. X. Sha collaborates with scholars based in China, Australia and Singapore. Z. X. Sha's co-authors include S. L. Chen, Shengli Chen, Li W, Shuen‐Ei Chen, Meng Liang, Guofeng Ren, Zhicheng Wang, Meiyu Xu, Yong‐Sheng Tian and Shaolin Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Fish Biology and Fish & Shellfish Immunology.

In The Last Decade

Z. X. Sha

11 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Z. X. Sha China 9 223 162 145 62 43 11 397
Chun‐Mean Lin United States 13 129 0.6× 216 1.3× 249 1.7× 75 1.2× 25 0.6× 17 447
Marlies Rise Canada 9 342 1.5× 93 0.6× 93 0.6× 199 3.2× 62 1.4× 9 523
Geoff Waldbieser United States 16 341 1.5× 238 1.5× 160 1.1× 158 2.5× 52 1.2× 20 674
Charles Y. Feng Canada 8 203 0.9× 40 0.2× 65 0.4× 130 2.1× 32 0.7× 11 325
Yanfei Wen China 8 73 0.3× 128 0.8× 108 0.7× 104 1.7× 10 0.2× 20 322
Yang Xiong China 11 123 0.6× 194 1.2× 197 1.4× 98 1.6× 49 1.1× 24 511
Patrycja Jurecka Poland 11 150 0.7× 40 0.2× 41 0.3× 66 1.1× 14 0.3× 20 315
S. L. Chen China 11 196 0.9× 172 1.1× 126 0.9× 79 1.3× 27 0.6× 15 370
Xiaolian Liu China 8 132 0.6× 105 0.6× 173 1.2× 120 1.9× 44 1.0× 26 383
Minglin Wu China 10 157 0.7× 29 0.2× 108 0.7× 69 1.1× 102 2.4× 28 312

Countries citing papers authored by Z. X. Sha

Since Specialization
Citations

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

Fields of papers citing papers by Z. X. Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Z. X. Sha. 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 Z. X. Sha. The network helps show where Z. X. Sha may publish in the future.

Co-authorship network of co-authors of Z. X. Sha

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

All Works

11 of 11 papers shown
1.
Wei, Wenjie, Yingying Wu, Z. X. Sha, Zhiqiang Lu, & Minghua Wang. (2024). Ethiprole biodegradation by Pseudomonas sp. NC1: Insights into the mechanisms and pathways. International Biodeterioration & Biodegradation. 198. 105985–105985. 1 indexed citations
2.
Lee, In‐Won, Abbas Pirpour Tazehkand, Z. X. Sha, Deepak Adhikari, & John Carroll. (2024). An aggregated mitochondrial distribution in preimplantation embryos disrupts nuclear morphology, function, and developmental potential. Proceedings of the National Academy of Sciences. 121(27). e2317316121–e2317316121. 2 indexed citations
3.
Sun, Aijun, et al.. (2014). Establishment and characterization of an ovarian cell line from half‐smooth tongue sole Cynoglossus semilaevis. Journal of Fish Biology. 86(1). 46–59. 26 indexed citations
4.
Sha, Z. X., et al.. (2010). Development and characterization of a new marine fish cell line from turbot (Scophthalmus maximus). Fish Physiology and Biochemistry. 36(4). 1227–1234. 48 indexed citations
5.
Sha, Z. X., et al.. (2010). Development and characterization of 60 novel EST-SSR markers in half-smooth tongue sole Cynoglossus semilaevis. Journal of Fish Biology. 78(1). 322–331. 13 indexed citations
6.
Sha, Z. X., et al.. (2010). Establishment, characterization of a new cell line from heart of half smooth tongue sole (Cynoglossus semilaevis). Fish Physiology and Biochemistry. 36(4). 1181–1189. 40 indexed citations
7.
8.
Chen, Shuen‐Ei, Li W, Meng Liang, et al.. (2006). Molecular cloning and expression analysis of a hepcidin antimicrobial peptide gene from turbot (Scophthalmus maximus). Fish & Shellfish Immunology. 22(3). 172–181. 84 indexed citations
9.
10.
Chen, Shengli, et al.. (2006). Development and characterization of cell lines from heart, liver, spleen and head kidney of sea perch Lateolabrax japonicus. Journal of Fish Biology. 69(sa). 115–126. 42 indexed citations
11.
Chen, Shengli, et al.. (2003). Derivation of a pluripotent embryonic cell line from red sea bream blastulas. Journal of Fish Biology. 63(3). 795–805. 54 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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