Diyi Fu

1.1k total citations · 2 hit papers
19 papers, 745 citations indexed

About

Diyi Fu is a scholar working on Plant Science, Molecular Biology and Oncology. According to data from OpenAlex, Diyi Fu has authored 19 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 8 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Diyi Fu's work include Plant Molecular Biology Research (10 papers), Plant Stress Responses and Tolerance (9 papers) and Photosynthetic Processes and Mechanisms (4 papers). Diyi Fu is often cited by papers focused on Plant Molecular Biology Research (10 papers), Plant Stress Responses and Tolerance (9 papers) and Photosynthetic Processes and Mechanisms (4 papers). Diyi Fu collaborates with scholars based in China and United States. Diyi Fu's co-authors include Shuhua Yang, Yiting Shi, Zhizhong Gong, Minze Li, Shifeng Wu, Rong Zeng, Yang Hao, Xiaohong Yang, Yanglin Ding and Xiaoyan Zhang and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Diyi Fu

16 papers receiving 724 citations

Hit Papers

Differential phosphorylation of Ca2+-permeable channel CY... 2024 2026 2025 2024 2025 10 20 30 40
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Differential phosphorylation of Ca2+-permeable channel CYCLIC NUCLEOTIDE–GATED CHANNEL20 modulates calcium-mediated freezing tolerance in Arabidopsis
    2024 43 citations Bochen Jiang, Diyi Fu et al. The Plant Cell profile →
  2. A natural variant of COOL1 gene enhances cold tolerance for high-latitude adaptation in maize
    2025 35 citations Rong Zeng, Yiting Shi et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diyi Fu China 9 655 387 80 33 20 19 745
Minze Li China 8 458 0.7× 266 0.7× 48 0.6× 25 0.8× 19 0.9× 9 516
Eddi Esteban Canada 13 546 0.8× 303 0.8× 144 1.8× 50 1.5× 23 1.1× 20 651
Shaofei Tong China 15 576 0.9× 427 1.1× 62 0.8× 24 0.7× 30 1.5× 19 697
Rongxia Guan China 17 1.0k 1.6× 194 0.5× 102 1.3× 47 1.4× 18 0.9× 43 1.1k
Jordi Moreno‐Romero Spain 17 791 1.2× 582 1.5× 69 0.9× 16 0.5× 9 0.5× 25 904
Ryan S. Austin Canada 14 729 1.1× 511 1.3× 67 0.8× 36 1.1× 11 0.6× 17 831
Cui Long-Gang China 3 641 1.0× 407 1.1× 106 1.3× 16 0.5× 12 0.6× 3 726
Ken S. Heyndrickx Belgium 11 772 1.2× 668 1.7× 46 0.6× 11 0.3× 13 0.7× 11 907
Jingxia Shao China 16 488 0.7× 417 1.1× 36 0.5× 10 0.3× 10 0.5× 21 602
Reqing He China 15 463 0.7× 311 0.8× 28 0.3× 23 0.7× 20 1.0× 27 535

Countries citing papers authored by Diyi Fu

Since Specialization
Citations

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

Fields of papers citing papers by Diyi Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diyi Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Diyi Fu. A scholar is included among the top collaborators of Diyi Fu 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 Diyi Fu. Diyi Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Su, Tong, et al.. (2026). Rewiring an E3 ligase enhances cold resilience and phosphate use in maize. Nature. 1 indexed citations
2.
Fu, Diyi, Zhen Wu, Jianfang Zhou, et al.. (2025). Pre-existing Anti-AAV9 antibodies in the Chinese healthy and rare disease populations: Implications for gene therapy. Virus Research. 354. 199549–199549. 1 indexed citations
3.
Fu, Diyi & Bochen Jiang. (2025). Liquid–liquid phase separation regulates gene expression in plants. SHILAP Revista de lepidopterología. 3(2). 100084–100084. 2 indexed citations
4.
Fu, Diyi, Shifeng Wu, Yue Peng, et al.. (2025). Regulation of alternative splicing by CBF-mediated protein condensation in plant response to cold stress. Nature Plants. 11(3). 505–517. 7 indexed citations
5.
Fu, Diyi, You Peng, Xi Wang, et al.. (2025). Coordinated control of calcium signaling by CPK3 and CaM2 via CNGCs in response to cold stress in Arabidopsis. Developmental Cell. 60(23). 3222–3235.e6.
6.
Sun, Jianhang, Xinyue Zhao, Diyi Fu, et al.. (2025). An antisense RNA forms R-loop to facilitate the transcription of CBF genes and plant cold acclimation. Developmental Cell. 60(18). 2445–2454.e5. 1 indexed citations
7.
Zeng, Rong, Yiting Shi, Li Guo, et al.. (2025). A natural variant of COOL1 gene enhances cold tolerance for high-latitude adaptation in maize. Cell. 188(5). 1315–1329.e13. 35 indexed citations breakdown →
8.
9.
10.
Zeng, Rong, Guangshu Song, Minze Li, et al.. (2024). Genetic variation in the aquaporin TONOPLAST INTRINSIC PROTEIN 4;3 modulates maize cold tolerance. Plant Biotechnology Journal. 22(11). 3037–3050. 7 indexed citations
11.
Jiang, Bochen, Diyi Fu, Xiaoyan Zhang, et al.. (2024). Differential phosphorylation of Ca2+-permeable channel CYCLIC NUCLEOTIDE–GATED CHANNEL20 modulates calcium-mediated freezing tolerance in Arabidopsis. The Plant Cell. 36(10). 4356–4371. 43 indexed citations breakdown →
12.
13.
Ding, Yanglin, Yang Hao, Shifeng Wu, et al.. (2022). CPK28-NLP7 module integrates cold-induced Ca 2+ signal and transcriptional reprogramming in Arabidopsis. Science Advances. 8(26). eabn7901–eabn7901. 91 indexed citations
14.
Fu, Diyi, Xi Wang, Rong Zeng, et al.. (2022). The transcription factor bZIP68 negatively regulates cold tolerance in maize. The Plant Cell. 34(8). 2833–2851. 109 indexed citations
15.
Shi, Yiting, Jingyan Liu, Zhen Li, et al.. (2022). Natural polymorphism of ZmICE1 contributes to amino acid metabolism that impacts cold tolerance in maize. Nature Plants. 8(10). 1176–1190. 98 indexed citations
16.
Zhao, Qian, Teng Wang, Huanhuan Wang, et al.. (2022). Phase I pharmacokinetic study of an oral, small-molecule MEK inhibitor tunlametinib in patients with advanced NRAS mutant melanoma. Frontiers in Pharmacology. 13. 1039416–1039416. 8 indexed citations
17.
Li, Youping, Yiting Shi, Minze Li, et al.. (2021). The CRY2–COP1–HY5–BBX7/8 module regulates blue light-dependent cold acclimation in Arabidopsis. The Plant Cell. 33(11). 3555–3573. 98 indexed citations
18.
Zhang, Xiaoyan, Minze Li, Yang Hao, et al.. (2021). The direct targets of CBFs: In cold stress response and beyond. Journal of Integrative Plant Biology. 63(11). 1874–1887. 131 indexed citations
19.
Zeng, Rong, Zhuoyang Li, Yiting Shi, et al.. (2021). Natural variation in a type-A response regulator confers maize chilling tolerance. Nature Communications. 12(1). 4713–4713. 111 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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