Shi‐Ming Wan

710 total citations
31 papers, 432 citations indexed

About

Shi‐Ming Wan is a scholar working on Molecular Biology, Aquatic Science and Genetics. According to data from OpenAlex, Shi‐Ming Wan has authored 31 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Aquatic Science and 9 papers in Genetics. Recurrent topics in Shi‐Ming Wan's work include Aquaculture Nutrition and Growth (8 papers), Aquaculture disease management and microbiota (7 papers) and Genetic diversity and population structure (6 papers). Shi‐Ming Wan is often cited by papers focused on Aquaculture Nutrition and Growth (8 papers), Aquaculture disease management and microbiota (7 papers) and Genetic diversity and population structure (6 papers). Shi‐Ming Wan collaborates with scholars based in China, United States and Canada. Shi‐Ming Wan's co-authors include Zexia Gao, Chun‐Hong Nie, Weimin Wang, Yulong Chen, Shaokui Yi, Alexandre Wagner Silva Hilsdorf, Jia Zhong, Bowen Zhao, Bo-Xiang Chen and Yulong Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Shi‐Ming Wan

30 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shi‐Ming Wan China 13 178 151 125 111 83 31 432
Chun‐Hong Nie China 11 160 0.9× 110 0.7× 92 0.7× 95 0.9× 57 0.7× 24 343
Guo‐Dong Zheng China 14 122 0.7× 163 1.1× 118 0.9× 150 1.4× 68 0.8× 37 415
Kurt Stueber Germany 5 168 0.9× 118 0.8× 197 1.6× 99 0.9× 31 0.4× 7 425
Kiran D. Rasal India 12 161 0.9× 150 1.0× 154 1.2× 141 1.3× 37 0.4× 44 387
Taiming Yan China 12 110 0.6× 97 0.6× 80 0.6× 73 0.7× 52 0.6× 58 380
Jingliang Kang China 12 137 0.8× 56 0.4× 96 0.8× 47 0.4× 51 0.6× 20 363
Ludmilla Kaltenboeck United States 10 153 0.9× 177 1.2× 296 2.4× 178 1.6× 43 0.5× 12 577
Shouwen Jiang China 10 135 0.8× 69 0.5× 64 0.5× 82 0.7× 77 0.9× 24 334
Yinghui Dong China 14 186 1.0× 184 1.2× 109 0.9× 167 1.5× 33 0.4× 71 618
Zhiqiang Ruan China 11 95 0.5× 111 0.7× 124 1.0× 79 0.7× 19 0.2× 27 310

Countries citing papers authored by Shi‐Ming Wan

Since Specialization
Citations

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

Fields of papers citing papers by Shi‐Ming Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi‐Ming Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Shi‐Ming Wan. A scholar is included among the top collaborators of Shi‐Ming Wan 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 Shi‐Ming Wan. Shi‐Ming Wan 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.
Li, Shunyao, et al.. (2024). Chromosome-level genome assembly of the yellow-cheek carp Elopichthys bambusa. Scientific Data. 11(1). 426–426. 3 indexed citations
2.
Wang, Xudong, Jiajia Zhou, Tu Tan, et al.. (2024). Integrated transcriptomic analysis reveals evolutionary and developmental characteristics of tendon ossification in teleost. BMC Biology. 22(1). 304–304. 1 indexed citations
4.
Dong, Qiang, Chun‐Hong Nie, Dongyang Zhang, et al.. (2023). Generation of blunt snout bream without intermuscular bones by runx2b gene mutation. Aquaculture. 567. 739263–739263. 25 indexed citations
5.
Qu, Meng, Zexia Gao, Zhixin Zhang, et al.. (2023). The genetic basis of the leafy seadragon’s unique camouflage morphology and avenues for its efficient conservation derived from habitat modeling. Science China Life Sciences. 66(6). 1213–1230. 14 indexed citations
6.
Zhang, Shuangmeng, et al.. (2023). Genetic Diversity and Population Structure of Coilia nasus Revealed by 2b-RAD Sequencing. Biology. 12(4). 600–600. 1 indexed citations
7.
Dong, Xiaoru, Shi‐Ming Wan, Jiajia Zhou, et al.. (2022). Functional Differentiation of BMP7 Genes in Zebrafish: bmp7a for Dorsal-Ventral Pattern and bmp7b for Melanin Synthesis and Eye Development. Frontiers in Cell and Developmental Biology. 10. 838721–838721. 11 indexed citations
8.
Nie, Chun‐Hong, Shi‐Ming Wan, Yulong Chen, et al.. (2022). Single-cell transcriptomes and runx2b−/− mutants reveal the genetic signatures of intermuscular bone formation in zebrafish. National Science Review. 9(11). nwac152–nwac152. 41 indexed citations
9.
Nie, Chun‐Hong, et al.. (2022). Functional differentiation of bmp2a and bmp2b genes in zebrafish. Gene Expression Patterns. 46. 119288–119288. 5 indexed citations
10.
Chen, Yulong, Shi‐Ming Wan, Qing Li, et al.. (2021). Genome-Wide Integrated Analysis Revealed Functions of lncRNA–miRNA–mRNA Interaction in Growth of Intermuscular Bones in Megalobrama amblycephala. Frontiers in Cell and Developmental Biology. 8. 603815–603815. 17 indexed citations
11.
Nie, Chun‐Hong, Shi‐Ming Wan, Yulong Chen, et al.. (2020). Loss of scleraxis leads to distinct reduction of mineralized intermuscular bone in zebrafish. Aquaculture and Fisheries. 6(2). 169–177. 22 indexed citations
12.
Zhang, Rongrong, Xin Wang, Shi‐Ming Wan, Shaobo Ma, & Qiang Lin. (2020). A new species of Pegasus (Syngnathiformes: Pegasidae) from the South China Sea. Zootaxa. 4894(4). zootaxa.4894.4.2–zootaxa.4894.4.2. 2 indexed citations
13.
Wan, Shi‐Ming, Tea Tomljanović, Yulong Chen, et al.. (2019). Identification and mapping of SNPs associated with number of intermuscular bone in blunt snout bream. Aquaculture. 507. 75–82. 18 indexed citations
14.
Wan, Shi‐Ming, Hong Liu, Bowen Zhao, et al.. (2017). Construction of a high-density linkage map and fine mapping of QTLs for growth and gonad related traits in blunt snout bream. Scientific Reports. 7(1). 46509–46509. 28 indexed citations
15.
Nie, Chun‐Hong, Shi‐Ming Wan, Tea Tomljanović, et al.. (2017). Comparative proteomics analysis of teleost intermuscular bones and ribs provides insight into their development. BMC Genomics. 18(1). 147–147. 23 indexed citations
16.
Wan, Shi‐Ming, Chun‐Hong Nie, Bowen Zhao, et al.. (2016). Mitochondrial Genome Variation after Hybridization and Differences in the First and Second Generation Hybrids of Bream Fishes. PLoS ONE. 11(7). e0158915–e0158915. 8 indexed citations
17.
Wan, Shi‐Ming, et al.. (2016). Dynamic mRNA and miRNA expression analysis in response to intermuscular bone development of blunt snout bream (Megalobrama amblycephala). Scientific Reports. 6(1). 31050–31050. 43 indexed citations
18.
Lin, Qiang, Wei Luo, Shi‐Ming Wan, & Zexia Gao. (2016). De Novo Transcriptome Analysis of Two Seahorse Species (Hippocampus erectus and H. mohnikei) and the Development of Molecular Markers for Population Genetics. PLoS ONE. 11(4). e0154096–e0154096. 6 indexed citations
19.
Zhao, Honghao, Cong Zeng, Shaokui Yi, et al.. (2015). Leptin Genes in Blunt Snout Bream: Cloning, Phylogeny and Expression Correlated to Gonads Development. International Journal of Molecular Sciences. 16(11). 27609–27624. 12 indexed citations
20.
Wan, Shi‐Ming, et al.. (2014). Developmental and morphological observation of intermuscular bones in Megalobrama amblycephala.. Acta Hydrobiologica Sinica. 38(6). 1143–1151. 12 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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