Jiangshuo Su

1.1k total citations
41 papers, 588 citations indexed

About

Jiangshuo Su is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Jiangshuo Su has authored 41 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 16 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Jiangshuo Su's work include Plant Molecular Biology Research (14 papers), Plant responses to water stress (11 papers) and Genetic Mapping and Diversity in Plants and Animals (10 papers). Jiangshuo Su is often cited by papers focused on Plant Molecular Biology Research (14 papers), Plant responses to water stress (11 papers) and Genetic Mapping and Diversity in Plants and Animals (10 papers). Jiangshuo Su collaborates with scholars based in China and Estonia. Jiangshuo Su's co-authors include Fei Zhang, Jiafu Jiang, Fadi Chen, Sumei Chen, Zhiyong Guan, Weimin Fang, Fadi Chen, Lian Ding, Ye Liu and Aiping Song and has published in prestigious journals such as Journal of Experimental Botany, Frontiers in Plant Science and Planta.

In The Last Decade

Jiangshuo Su

39 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiangshuo Su China 13 484 287 98 64 50 41 588
Xuezhu Liao China 12 225 0.5× 479 1.7× 97 1.0× 138 2.2× 24 0.5× 30 594
Tongbing Su China 17 628 1.3× 464 1.6× 75 0.8× 23 0.4× 50 1.0× 47 793
Weiru Yang China 22 751 1.6× 801 2.8× 57 0.6× 52 0.8× 83 1.7× 32 1.0k
Tuan Long China 9 437 0.9× 321 1.1× 142 1.4× 21 0.3× 29 0.6× 12 535
Tsuneo Sasanuma Japan 14 417 0.9× 156 0.5× 115 1.2× 49 0.8× 35 0.7× 25 512
Megahed H. Ammar Saudi Arabia 17 652 1.3× 136 0.5× 124 1.3× 94 1.5× 22 0.4× 33 755
Changhyun Choi South Korea 11 583 1.2× 376 1.3× 49 0.5× 44 0.7× 15 0.3× 62 689
Zhongren Guo China 16 412 0.9× 226 0.8× 25 0.3× 26 0.4× 39 0.8× 27 551

Countries citing papers authored by Jiangshuo Su

Since Specialization
Citations

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

Fields of papers citing papers by Jiangshuo Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangshuo Su

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangshuo Su. A scholar is included among the top collaborators of Jiangshuo Su 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 Jiangshuo Su. Jiangshuo Su 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.
Xiao, Chen, Jiangshuo Su, Guanxiong Zhang, et al.. (2025). Exploring favorable QTNs and candidate genes for chrysanthemum resistance against black spot disease. Horticultural Plant Journal. 1 indexed citations
2.
Wang, Siyue, Yang Yang, Junwei Zeng, et al.. (2025). RGB imaging-based evaluation of waterlogging tolerance in cultivated and wild chrysanthemums. Plant Phenomics. 7(1). 100019–100019.
3.
He, Yuhua, Jiangshuo Su, Wei Sun, et al.. (2025). GWAS reveals the genetic basis and genomic regions underlying four active compounds in chrysanthemum. Horticultural Plant Journal. 11(6). 2211–2224. 2 indexed citations
4.
Su, Jiangshuo, Honghong Fan, Haibin Wang, et al.. (2024). Insights into the genetic architecture of the reciprocal interspecific hybrids derived from Chrysanthemum dichrum and C. nankingense. Molecular Breeding. 44(11). 75–75. 1 indexed citations
5.
Su, Jiangshuo, Siyue Wang, Xuefeng Zhang, et al.. (2024). Multi-locus genome-wide association studies reveal the dynamic genetic architecture of flowering time in chrysanthemum. Plant Cell Reports. 43(4). 84–84. 3 indexed citations
6.
Su, Jiangshuo, Xinli Zhang, Haibin Wang, et al.. (2023). Evaluation of volatile compounds in tea chrysanthemum cultivars and elite hybrids. Scientia Horticulturae. 320. 112218–112218. 6 indexed citations
7.
Su, Jiangshuo, Chuanwei Li, Fei Zhang, et al.. (2023). CmWAT6.1, mined by high-density genetic map-based QTL mapping, enhances waterlogging tolerance in chrysanthemum. Environmental and Experimental Botany. 219. 105612–105612. 2 indexed citations
8.
Su, Jiangshuo, Hongming Zhang, Siyue Wang, et al.. (2023). BSA-seq identified candidate genes and diagnostic KASP markers for anemone type flower in chrysanthemum. Scientia Horticulturae. 327. 112790–112790. 8 indexed citations
9.
Su, Jiangshuo, Xuefeng Zhang, Siyue Wang, et al.. (2023). Multi-locus genome-wide association study and genomic prediction for flowering time in chrysanthemum. Planta. 259(1). 13–13. 6 indexed citations
10.
Zhao, Kunkun, Xue Zhang, Song Li, et al.. (2023). FUL homologous gene CmFL1 is involved in regulating flowering time and floret numbers in Chrysanthemum morifolium. Plant Science. 336. 111863–111863. 4 indexed citations
11.
Zhang, Xuefeng, Jiangshuo Su, Feifei Jia, et al.. (2023). Genetic architecture and genomic prediction of plant height-related traits in chrysanthemum. Horticulture Research. 11(1). uhad236–uhad236. 13 indexed citations
12.
Su, Jiangshuo, Chuanwei Li, Siyue Wang, et al.. (2023). Multi-locus genome-wide association studies reveal genetic loci and candidate genes for leaf angle traits in cut chrysanthemum. Scientia Horticulturae. 322. 112406–112406. 8 indexed citations
13.
Su, Jiangshuo, Fei Zhang, Aiping Song, et al.. (2019). Genome-wide association study identifies favorable SNP alleles and candidate genes for waterlogging tolerance in chrysanthemums. Horticulture Research. 6(1). 21–21. 44 indexed citations
14.
Su, Jiangshuo, Jiafu Jiang, Fei Zhang, et al.. (2019). Current achievements and future prospects in the genetic breeding of chrysanthemum: a review. Horticulture Research. 6(1). 109–109. 139 indexed citations
15.
Ma, Jie, Tingting Xu, Jiangshuo Su, et al.. (2018). Genetic variation and QTL mapping for cold tolerance of ray florets in an F1 population of Chrysanthemum morifolium.. Acta Horticulturae Sinica. 45(4). 717–724. 3 indexed citations
16.
Liu, Chen, Jiangshuo Su, Haibin Wang, et al.. (2018). Overexpression of Phosphate Transporter Gene CmPht1;2 Facilitated Pi Uptake and Alternated the Metabolic Profiles of Chrysanthemum Under Phosphate Deficiency. Frontiers in Plant Science. 9. 686–686. 16 indexed citations
17.
Su, Jiangshuo, et al.. (2018). Association analysis of drought tolerance in cut chrysanthemum (Chrysanthemum morifolium Ramat.) at seedling stage. 3 Biotech. 8(5). 226–226. 10 indexed citations
18.
Su, Jiangshuo, Fei Zhang, Shaofang Wu, et al.. (2017). Dynamic and epistatic QTL mapping reveals the complex genetic architecture of waterlogging tolerance in chrysanthemum. Planta. 247(4). 899–924. 21 indexed citations
19.
Zhang, Fei, Sumei Chen, Jiafu Jiang, et al.. (2016). Genetic diversity, population structure and association analysis in cut chrysanthemum (Chrysanthemum morifolium Ramat.). Molecular Genetics and Genomics. 291(3). 1117–1125. 34 indexed citations
20.
Su, Jiangshuo, et al.. (2016). Genetic variation and association mapping of waterlogging tolerance in chrysanthemum. Planta. 244(6). 1241–1252. 27 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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