Shengkai Tang

516 total citations
25 papers, 386 citations indexed

About

Shengkai Tang is a scholar working on Nature and Landscape Conservation, Molecular Biology and Aquatic Science. According to data from OpenAlex, Shengkai Tang has authored 25 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nature and Landscape Conservation, 7 papers in Molecular Biology and 7 papers in Aquatic Science. Recurrent topics in Shengkai Tang's work include Genomics and Phylogenetic Studies (5 papers), Fish Ecology and Management Studies (5 papers) and Fish Biology and Ecology Studies (5 papers). Shengkai Tang is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Fish Ecology and Management Studies (5 papers) and Fish Biology and Ecology Studies (5 papers). Shengkai Tang collaborates with scholars based in China, Malaysia and Japan. Shengkai Tang's co-authors include Daming Li, Qichen Jiang, Zhiquan Liu, Wenyi Zhang, Tongqing Zhang, Liqiang Zhong, Shenghu Zhang, Zhengyu Yan, Ruixin Guo and Jianqiu Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Chemosphere.

In The Last Decade

Shengkai Tang

23 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengkai Tang China 11 173 76 75 71 70 25 386
Yoseop Lee South Korea 12 212 1.2× 89 1.2× 120 1.6× 28 0.4× 39 0.6× 22 382
Sang-Eun Nam South Korea 15 182 1.1× 54 0.7× 247 3.3× 61 0.9× 67 1.0× 48 547
Deok-Seo Yoon South Korea 13 211 1.2× 53 0.7× 221 2.9× 30 0.4× 63 0.9× 25 431
Adrislaine S. Mansano Brazil 9 169 1.0× 100 1.3× 236 3.1× 35 0.5× 28 0.4× 15 420
Juan Ramón Esquivel Garcia Brazil 15 126 0.7× 36 0.5× 253 3.4× 57 0.8× 37 0.5× 21 468
Julien Rouxel France 12 390 2.3× 77 1.0× 286 3.8× 25 0.4× 59 0.8× 17 618
Laury Gauthier France 17 308 1.8× 110 1.4× 414 5.5× 47 0.7× 92 1.3× 22 775
Gabriele Magara Italy 12 281 1.6× 68 0.9× 165 2.2× 19 0.3× 34 0.5× 22 595
Natacha Nogueira Portugal 11 334 1.9× 68 0.9× 17 0.2× 22 0.3× 31 0.4× 37 633
Lucy M. Greenfield United Kingdom 13 246 1.4× 33 0.4× 18 0.2× 22 0.3× 35 0.5× 15 542

Countries citing papers authored by Shengkai Tang

Since Specialization
Citations

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

Fields of papers citing papers by Shengkai Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengkai Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Shengkai Tang. A scholar is included among the top collaborators of Shengkai Tang 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 Shengkai Tang. Shengkai Tang 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.
Liu, Y., et al.. (2025). The relationship between local patch landscape patterns and bird community traits along the urbanization gradient. Urban forestry & urban greening. 112. 128889–128889.
2.
Zhou, Hui, et al.. (2024). Polystyrene microplastics induce molecular toxicity in Simocephalus vetulus: A transcriptome and intestinal microorganism analysis. Aquatic Toxicology. 275. 107046–107046. 2 indexed citations
3.
Han, Mingming, Xiaohua Zhu, Daming Li, et al.. (2024). Quercetin and taxifolin enhance immunity in Chinese sucker (Myxocyprinus asiaticus) and increase its resistance to Aeromonas hydrophila. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 54. 101369–101369. 3 indexed citations
4.
Tang, Shengkai, Jun Wang, Xuexia Zhu, & Dongdong Shen. (2024). Ecological Risks of Zinc Oxide Nanoparticles for Early Life Stages of Obscure Puffer (Takifugu obscurus). Toxics. 12(1). 48–48. 11 indexed citations
5.
Han, Mingming, et al.. (2024). Toxic effects of micro(nano)-plastics on terrestrial ecosystems and human health. TrAC Trends in Analytical Chemistry. 172. 117517–117517. 21 indexed citations
7.
Han, Mingming, Shengkai Tang, Ji Liang, et al.. (2023). The effects of a polystyrene nanoplastic on the immune response and gut microbiota of Eriocheir sinensis and its post-recovery state. Aquatic Toxicology. 262. 106644–106644. 19 indexed citations
8.
Zhang, Tongqing, Shengkai Tang, Daming Li, et al.. (2021). Dissecting the chromosome-level genome of the Asian Clam (Corbicula fluminea). Scientific Reports. 11(1). 8 indexed citations
9.
Zhong, Liqiang, Minghua Wang, Daming Li, Shengkai Tang, & Xiaohong Chen. (2021). Mitochondrial Genome of Eleutheronema rhadinum With an Additional Non-coding Region and Novel Insights Into the Phylogenetics. Frontiers in Marine Science. 8. 8 indexed citations
10.
Liu, Yanshan, Yanping Wang, Daming Li, et al.. (2021). The complete mitochondrial genome of Callionymus olidus (Perciformes Callionymidae). SHILAP Revista de lepidopterología. 6(1). 154–155. 1 indexed citations
11.
Zhang, Wenyi, et al.. (2019). Transcriptional response provides insights into the effect of chronic polystyrene nanoplastic exposure on Daphnia pulex. Chemosphere. 238. 124563–124563. 107 indexed citations
12.
Zhang, Tongqing, et al.. (2019). The complete mitogenome of clam Corbicula fluminea determined usingnext-generation and PacBio sequencing. SHILAP Revista de lepidopterología. 4(1). 1660–1661. 4 indexed citations
13.
Zhang, Shiyong, Jia Li, Qin Qin, et al.. (2018). Whole-Genome Sequencing of Chinese Yellow Catfish Provides a Valuable Genetic Resource for High-Throughput Identification of Toxin Genes. Toxins. 10(12). 488–488. 14 indexed citations
14.
Zhong, Liqiang, Minghua Wang, Daming Li, et al.. (2018). Complete mitochondrial genome of freshwater goby Rhinogobius cliffordpopei (Perciformes, Gobiidae): genome characterization and phylogenetic analysis. Genes & Genomics. 40(11). 1137–1148. 20 indexed citations
16.
Zhong, Liqiang, Minghua Wang, Jianlin Pan, et al.. (2018). Evaluation of genetic diversity and population structure of five yellow catfish Pelteobagrus fulvidraco populations by microsatellite markers. Oceanological and Hydrobiological Studies. 47(2). 99–106. 2 indexed citations
17.
Liu, Yanhua, Ruixin Guo, Shengkai Tang, et al.. (2017). Single and mixture toxicities of BDE-47, 6-OH-BDE-47 and 6-MeO-BDE-47 on the feeding activity of Daphnia magna: From behavior assessment to neurotoxicity. Chemosphere. 195. 542–550. 47 indexed citations
19.
Li, Daming, Tongqing Zhang, Shengkai Tang, et al.. (2017). Seasonal dynamics of photosynthetic activity of Microcystis, genotype abundances and microcystin concentrations in Meiliang Bay, Lake Taihu. Acta Ecologica Sinica. 37(5). 284–289. 7 indexed citations
20.
Li, Daming, Yang Yu, Zhen Yang, et al.. (2014). The dynamics of toxic and nontoxic Microcystis during bloom in the large shallow lake, Lake Taihu, China. Environmental Monitoring and Assessment. 186(5). 3053–3062. 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.

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