Jian Song

1.6k total citations
36 papers, 510 citations indexed

About

Jian Song is a scholar working on Aquatic Science, Plant Science and Global and Planetary Change. According to data from OpenAlex, Jian Song has authored 36 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Aquatic Science, 11 papers in Plant Science and 9 papers in Global and Planetary Change. Recurrent topics in Jian Song's work include Echinoderm biology and ecology (16 papers), Marine Bivalve and Aquaculture Studies (8 papers) and Soybean genetics and cultivation (6 papers). Jian Song is often cited by papers focused on Echinoderm biology and ecology (16 papers), Marine Bivalve and Aquaculture Studies (8 papers) and Soybean genetics and cultivation (6 papers). Jian Song collaborates with scholars based in China, United States and Uganda. Jian Song's co-authors include Xiping Yang, Jianping Wang, Yaqing Chang, Lijuan Qiu, Yong Guo, Zhangxiong Liu, Jisen Zhang, James Todd, Dev Paudel and Qian You and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Climate.

In The Last Decade

Jian Song

30 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jian Song China 15 304 115 95 91 73 36 510
Doddabhimappa R. Gangapur India 7 334 1.1× 29 0.3× 20 0.2× 322 3.5× 71 1.0× 17 552
Derek Drost United States 7 371 1.2× 16 0.1× 47 0.5× 343 3.8× 169 2.3× 7 652
Gabriele Amore Italy 17 154 0.5× 101 0.9× 6 0.1× 383 4.2× 73 1.0× 21 642
Sunil Kumar Singh India 11 276 0.9× 17 0.1× 12 0.1× 212 2.3× 76 1.0× 34 489
Rajendra P. Kandpal United States 10 145 0.5× 12 0.1× 19 0.2× 343 3.8× 153 2.1× 21 580
Gabriel Rodrigues Alves Margarido Brazil 17 767 2.5× 7 0.1× 166 1.7× 178 2.0× 323 4.4× 41 948
Te‐Hua Hsu Taiwan 13 44 0.1× 109 0.9× 15 0.2× 132 1.5× 126 1.7× 47 418
Qixue Fan China 15 214 0.7× 317 2.8× 11 0.1× 211 2.3× 97 1.3× 35 774

Countries citing papers authored by Jian Song

Since Specialization
Citations

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

Fields of papers citing papers by Jian Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Song. A scholar is included among the top collaborators of Jian Song 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 Jian Song. Jian Song 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, Jinming, Tanjun Zhao, Jian Song, et al.. (2025). Dynamic molecular responses of the sea urchin Strongylocentrotus intermedius to pathogen infection: Insights from a serial comparative transcriptome analysis. Fish & Shellfish Immunology. 158. 110176–110176.
2.
Sun, Yongxin, Shuo Wang, Chong Wang, et al.. (2025). Dynamic metabolic profiling of sea cucumbers (Apostichopus japonicus) under predation stress. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 55. 101451–101451.
3.
4.
Xu, Dandan, Tuo Jin, Bin Xi, et al.. (2025). Distribution characteristics, influencing factors, and future prospects of microplastics derived from agricultural mulching film in farmland soil: a review. Current Opinion in Environmental Science & Health. 47. 100652–100652. 1 indexed citations
5.
6.
Sun, Yongxin, Shuo Wang, Chong Wang, et al.. (2024). Impact of Starfish Predatory Pressure on the Immune and Antioxidant Functions of Sea Cucumber Apostichopus japonicus. Fishes. 9(9). 337–337. 2 indexed citations
7.
Shi, Ning, et al.. (2023). Features of Local Finite-Amplitude Wave Activity during Extreme Cold Waves over Eastern China. Journal of Climate. 36(21). 7583–7597.
8.
Sun, Zhihui, et al.. (2021). A rapid and reliable method for genetic sex identification in sea cucumber, Apostichopus japonicus. Aquaculture. 543. 737021–737021. 20 indexed citations
9.
Zhan, Yaoyao, Kai Lin, Ge Chen, et al.. (2018). Comparative transcriptome analysis identifies genes associated with papilla development in the sea cucumber Apostichopus japonicus. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 29. 255–263. 10 indexed citations
10.
Cui, Jun, Jian Song, Meng Gou, et al.. (2018). Integration of small RNAs and mRNAs by high-throughput sequencing reveals a complex regulatory network in Chinese sea cucumber, Russian sea cucumber and their hybrids. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 29. 1–13. 7 indexed citations
11.
Yang, Xiping, Jian Song, Qian You, et al.. (2017). Mining sequence variations in representative polyploid sugarcane germplasm accessions. BMC Genomics. 18(1). 594–594. 37 indexed citations
12.
Song, Jian, et al.. (2017). Next-Generation Sequencing from Bulked-Segregant Analysis Accelerates the Simultaneous Identification of Two Qualitative Genes in Soybean. Frontiers in Plant Science. 8. 919–919. 87 indexed citations
13.
Chang, Yaqing, et al.. (2016). Identification and functional characterization of TNF receptor associated factor 3 in the sea cucumber Apostichopus japonicus. Developmental & Comparative Immunology. 59. 128–135. 15 indexed citations
14.
Song, Jian, Xiping Yang, Márcio F. R. Resende, et al.. (2016). Natural Allelic Variations in Highly Polyploidy Saccharum Complex. Frontiers in Plant Science. 7. 804–804. 30 indexed citations
15.
Song, Jian, Zhangxiong Liu, Huilong Hong, et al.. (2016). Identification and Validation of Loci Governing Seed Coat Color by Combining Association Mapping and Bulk Segregation Analysis in Soybean. PLoS ONE. 11(7). e0159064–e0159064. 32 indexed citations
16.
Wang, Yi, Ge Chen, Kaiquan Li, et al.. (2016). A novel MKK gene ( AjMKK3/6 ) in the sea cucumber Apostichopus japonicus : Identification, characterization and its response to pathogenic challenge. Fish & Shellfish Immunology. 61. 24–33. 14 indexed citations
17.
Yang, Yujie, et al.. (2015). The Expression of Can and Camk is Associated with Lipogenesis in the Muscle of Chicken. Brazilian Journal of Poultry Science. 17(3). 287–292. 2 indexed citations
18.
Nayak, Spurthi N., Jian Song, Andrea Villa, et al.. (2014). Promoting Utilization of Saccharum spp. Genetic Resources through Genetic Diversity Analysis and Core Collection Construction. PLoS ONE. 9(10). e110856–e110856. 49 indexed citations
19.
Tian, Yi, et al.. (2014). Expression of c-type lysozyme gene in sea cucumber (Apostichopus japonicus) is highly regulated and time dependent after salt stress. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 180. 68–78. 18 indexed citations
20.
Song, Jian, et al.. (2012). Progress in genes related to seed-coat color in soybean. Hereditas (Beijing). 34(6). 687–694. 2 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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