Can Si

544 total citations
23 papers, 370 citations indexed

About

Can Si is a scholar working on Plant Science, Molecular Biology and Pharmacology. According to data from OpenAlex, Can Si has authored 23 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 20 papers in Molecular Biology and 9 papers in Pharmacology. Recurrent topics in Can Si's work include Plant Molecular Biology Research (18 papers), Plant Gene Expression Analysis (16 papers) and Biological and pharmacological studies of plants (6 papers). Can Si is often cited by papers focused on Plant Molecular Biology Research (18 papers), Plant Gene Expression Analysis (16 papers) and Biological and pharmacological studies of plants (6 papers). Can Si collaborates with scholars based in China and Japan. Can Si's co-authors include Chunmei He, Jun Duan, Jaime A. Teixeira da Silva, Zhenming Yu, Conghui Zhao, Haobin Wang, Mingze Zhang, Mingzhi Li, Mingze Zhang and Wei Dong and has published in prestigious journals such as PLANT PHYSIOLOGY, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Can Si

21 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Can Si China 12 260 247 102 56 23 23 370
Min Woo Hyun South Korea 10 184 0.7× 110 0.4× 74 0.7× 25 0.4× 25 1.1× 18 328
Kabir Md Alamgir Japan 9 299 1.1× 220 0.9× 65 0.6× 86 1.5× 23 1.0× 9 495
Naoki Ube Japan 12 222 0.9× 137 0.6× 54 0.5× 18 0.3× 25 1.1× 20 322
Abha Agnihotri India 12 325 1.3× 228 0.9× 31 0.3× 26 0.5× 18 0.8× 33 400
Yeo Hong Yun South Korea 8 180 0.7× 114 0.5× 70 0.7× 16 0.3× 26 1.1× 20 314
Florence Richard-Forget France 7 395 1.5× 130 0.5× 50 0.5× 38 0.7× 16 0.7× 9 471
Amanda Ferreira Macedo Brazil 11 353 1.4× 282 1.1× 28 0.3× 23 0.4× 26 1.1× 24 452
Kuldeep Yadav India 13 321 1.2× 207 0.8× 68 0.7× 31 0.6× 11 0.5× 36 414
Xueyi Sui China 9 215 0.8× 273 1.1× 29 0.3× 21 0.4× 26 1.1× 21 365
Yaying Xu China 7 163 0.6× 302 1.2× 28 0.3× 42 0.8× 60 2.6× 11 383

Countries citing papers authored by Can Si

Since Specialization
Citations

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

Fields of papers citing papers by Can Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Si

This figure shows the co-authorship network connecting the top 25 collaborators of Can Si. A scholar is included among the top collaborators of Can Si 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 Can Si. Can Si 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.
Huang, Lei, et al.. (2025). The rise of Stropharia rugosoannulata industry in China: current state and prospects. Applied Microbiology and Biotechnology. 109(1). 188–188.
2.
Li, Shoujie, Can Si, Jing Chen, et al.. (2025). Genome-Wide Identification and Functional Characterization of the Dof Family in Dendrobium officinale. International Journal of Molecular Sciences. 26(6). 2671–2671. 2 indexed citations
3.
4.
5.
Huang, Lei, et al.. (2023). Research on the stipe cracking of wine-cap mushroom (Stropharia rugosoannulata) in different humidity conditions. Scientific Reports. 13(1). 21122–21122. 6 indexed citations
6.
Huang, Lei, et al.. (2023). Nutritional, Bioactive, and Flavor Components of Giant Stropharia (Stropharia rugoso-annulata): A Review. Journal of Fungi. 9(8). 792–792. 17 indexed citations
7.
Zhao, Xiaolan, Mingjun Wang, Jaime A. Teixeira da Silva, et al.. (2023). Identification of the CONSTANS-like family in Cymbidium sinense, and their functional characterization. BMC Genomics. 24(1). 786–786. 2 indexed citations
8.
9.
Si, Can, et al.. (2023). ERF5 enhances protocorm‐like body regeneration via enhancement of STM expression in Dendrobium orchid. Journal of Integrative Plant Biology. 65(9). 2071–2085. 6 indexed citations
10.
Si, Can, et al.. (2022). Characterization of YABBY genes in Dendrobium officinale reveals their potential roles in flower development. PROTOPLASMA. 260(2). 483–495. 5 indexed citations
11.
Si, Can, Zhenming Yu, Jaime A. Teixeira da Silva, et al.. (2022). Transcriptomic and metabolomic analyses reveal the main metabolites in Dendrobium officinale leaves during the harvesting period. Plant Physiology and Biochemistry. 190. 24–34. 26 indexed citations
12.
Yu, Zhenming, Wei Dong, Jaime A. Teixeira da Silva, et al.. (2021). Ectopic expression of DoFLS1 from Dendrobium officinale enhances flavonol accumulation and abiotic stress tolerance in Arabidopsis thaliana. PROTOPLASMA. 258(4). 803–815. 37 indexed citations
13.
Yu, Zhenming, Guihua Zhang, Jaime A. Teixeira da Silva, et al.. (2021). Genome-wide identification and analysis of DNA methyltransferase and demethylase gene families in Dendrobium officinale reveal their potential functions in polysaccharide accumulation. BMC Plant Biology. 21(1). 21–21. 30 indexed citations
14.
Si, Can, Chunmei He, Jaime A. Teixeira da Silva, Zhenming Yu, & Jun Duan. (2021). Metabolic accumulation and related synthetic genes of O-acetyl groups in mannan polysaccharides of Dendrobium officinale. PROTOPLASMA. 259(3). 641–657. 6 indexed citations
15.
Zhang, Mingze, Zhenming Yu, Can Si, et al.. (2021). Transcriptome and Metabolome Reveal Salt-Stress Responses of Leaf Tissues from Dendrobium officinale. Biomolecules. 11(5). 736–736. 50 indexed citations
16.
He, Chunmei, Xuncheng Liu, Jaime A. Teixeira da Silva, et al.. (2020). Characterization of LEA genes in Dendrobium officinale and one Gene in induction of callus. Journal of Plant Physiology. 258-259. 153356–153356. 11 indexed citations
17.
Zhao, Conghui, Zhenming Yu, Jaime A. Teixeira da Silva, et al.. (2020). Functional Characterization of a Dendrobium officinale Geraniol Synthase DoGES1 Involved in Floral Scent Formation. International Journal of Molecular Sciences. 21(19). 7005–7005. 31 indexed citations
18.
Zhang, Mingze, Jaime A. Teixeira da Silva, Zhenming Yu, et al.. (2020). Identification of histone deacetylase genes in Dendrobium officinale and their expression profiles under phytohormone and abiotic stress treatments. PeerJ. 8. e10482–e10482. 11 indexed citations
19.
He, Chunmei, Can Si, Jaime A. Teixeira da Silva, Mingzhi Li, & Jun Duan. (2019). Genome-wide identification and classification of MIKC-type MADS-box genes in Streptophyte lineages and expression analyses to reveal their role in seed germination of orchid. BMC Plant Biology. 19(1). 223–223. 22 indexed citations
20.
He, Chunmei, Jaime A. Teixeira da Silva, Haobin Wang, et al.. (2019). Mining MYB transcription factors from the genomes of orchids (Phalaenopsis and Dendrobium) and characterization of an orchid R2R3-MYB gene involved in water-soluble polysaccharide biosynthesis. Scientific Reports. 9(1). 13818–13818. 35 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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