Fulu Dong

685 total citations
32 papers, 553 citations indexed

About

Fulu Dong is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Fulu Dong has authored 32 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in Fulu Dong's work include MicroRNA in disease regulation (7 papers), Pluripotent Stem Cells Research (5 papers) and Circular RNAs in diseases (5 papers). Fulu Dong is often cited by papers focused on MicroRNA in disease regulation (7 papers), Pluripotent Stem Cells Research (5 papers) and Circular RNAs in diseases (5 papers). Fulu Dong collaborates with scholars based in China, United States and Switzerland. Fulu Dong's co-authors include Jinping Zhang, Sidong Xiong, Fei Xia, Yi Yang, Yuan Zhang, Baole Zhang, Yonghui Zhang, Ping Yang, Liping Jin and Bao‐Chun Jiang and has published in prestigious journals such as PLoS ONE, Frontiers in Immunology and Experimental Cell Research.

In The Last Decade

Fulu Dong

31 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fulu Dong China 15 323 220 89 44 40 32 553
Fuu‐Jen Tsai Taiwan 13 244 0.8× 99 0.5× 102 1.1× 16 0.4× 12 0.3× 34 580
Xinglin Hu China 11 260 0.8× 81 0.4× 110 1.2× 10 0.2× 58 1.4× 21 536
Huan Deng China 13 169 0.5× 95 0.4× 63 0.7× 16 0.4× 21 0.5× 24 388
Lingling Miao China 14 634 2.0× 501 2.3× 63 0.7× 12 0.3× 15 0.4× 20 899
Xiaolu Wang China 15 488 1.5× 342 1.6× 44 0.5× 38 0.9× 9 0.2× 28 656
Ni Zeng China 11 311 1.0× 212 1.0× 56 0.6× 5 0.1× 27 0.7× 21 445
Ping Yan China 15 336 1.0× 140 0.6× 58 0.7× 20 0.5× 5 0.1× 35 570
Xueying Zhou China 12 650 2.0× 288 1.3× 75 0.8× 8 0.2× 40 1.0× 25 849

Countries citing papers authored by Fulu Dong

Since Specialization
Citations

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

Fields of papers citing papers by Fulu Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fulu Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Fulu Dong. A scholar is included among the top collaborators of Fulu Dong 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 Fulu Dong. Fulu Dong 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.
Ren, Haohao, et al.. (2024). Dynamic Embedding Relation Distillation Network for Incremental SAR Automatic Target Recognition. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 5 indexed citations
2.
Yu, Xuelian, et al.. (2023). Multilevel Adaptive Knowledge Distillation Network for Incremental SAR Target Recognition. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 18 indexed citations
3.
Zou, Yu, et al.. (2022). Involvement of Histone Lysine Crotonylation in the Regulation of Nerve-Injury-Induced Neuropathic Pain. Frontiers in Immunology. 13. 885685–885685. 22 indexed citations
4.
Dong, Fulu, Dongmei Liu, Tingting Lü, et al.. (2022). PPARγ2 functions as a tumor suppressor in a translational mouse model of human prostate cancer. Asian Journal of Andrology. 24(1). 90–96. 4 indexed citations
5.
Wei, Jinhuan, Tingting Lü, Fulu Dong, Chong Zhang, & Yonghui Zhang. (2021). Gene expression profiles of two testicular somatic cell lines respond differently to 4-nitrophenol mediating vary reproductive toxicity. Toxicology. 463. 152991–152991. 7 indexed citations
6.
Li, Feng, Tingting Lü, Dongmei Liu, et al.. (2021). Upregulated PPARG2 facilitates interaction with demethylated AKAP12 gene promoter and suppresses proliferation in prostate cancer. Cell Death and Disease. 12(6). 528–528. 13 indexed citations
7.
Dong, Fulu, et al.. (2020). <p>Intravenous Administration of Triptonide Attenuates CFA-Induced Pain Hypersensitivity by Inhibiting DRG AKT Signaling Pathway in Mice</p>. Journal of Pain Research. Volume 13. 3195–3206. 13 indexed citations
8.
9.
Dong, Fulu, Lu Chen, Rui Wang, et al.. (2019). 4‐nitrophenol exposure in T24 human bladder cancer cells promotes proliferation, motilities, and epithelial‐to‐mesenchymal transition. Environmental and Molecular Mutagenesis. 61(3). 316–328. 19 indexed citations
10.
Wang, Guanyu, Fulu Dong, Zhiyao Xu, et al.. (2017). MicroRNA profile in HBV-induced infection and hepatocellular carcinoma. BMC Cancer. 17(1). 805–805. 73 indexed citations
11.
Zhang, Baole, et al.. (2017). MiRNAs Mediate GDNF-Induced Proliferation and Migration of Glioma Cells. Cellular Physiology and Biochemistry. 44(5). 1923–1938. 39 indexed citations
12.
Dong, Fulu, Jiali Yu, Baole Zhang, et al.. (2015). Dynamic Changes in Occupancy of Histone Variant H2A.Z during Induced Somatic Cell Reprogramming. Stem Cells International. 2016(1). 3162363–3162363. 5 indexed citations
13.
Sun, Hongyan, Guomin Zhang, Fulu Dong, Feng Wang, & Guangwen Cao. (2014). Reprogramming Sertoli Cells into Pluripotent Stem Cells. Cellular Reprogramming. 16(3). 196–205. 11 indexed citations
14.
Xia, Fei, Fulu Dong, Yi Yang, et al.. (2014). Dynamic Transcription of Long Non-Coding RNA Genes during CD4+ T Cell Development and Activation. PLoS ONE. 9(7). e101588–e101588. 26 indexed citations
15.
Huang, Anfei, Haitao Zhang, Fei Xia, et al.. (2014). miR-34a expands myeloid-derived suppressor cells via apoptosis inhibition. Experimental Cell Research. 326(2). 259–266. 18 indexed citations
16.
Dong, Fulu, Yuan Zhang, Fei Xia, et al.. (2014). Genome-wide miRNA profiling of villus and decidua of recurrent spontaneous abortion patients. Reproduction. 148(1). 33–41. 75 indexed citations
17.
Song, Hui, Hui Li, Dan Xu, et al.. (2013). Induced pluripotent stem cells from goat fibroblasts. Molecular Reproduction and Development. 80(12). 1009–1017. 35 indexed citations
18.
Zhang, Baole, Li Ye, Jianhua Ding, et al.. (2012). Sphingosine 1-phosphate acts as an activator for the porcine Gpr3 of constitutively active G protein-coupled receptors. Journal of Zhejiang University SCIENCE B. 13(7). 555–566. 14 indexed citations
19.
Wang, Lijuan, Guangmin Zhang, Lin Fei, et al.. (2011). Expression of the insulin-like growth factor system in skeletal muscle during embryonic and postnatal development in the first filial generation pigs from Erhualian and Yorkshire reciprocal crosses. General and Comparative Endocrinology. 173(1). 56–62. 6 indexed citations
20.
Zhang, Baole, Jianhua Ding, Ye Li, et al.. (2011). The porcine Gpr3 gene: molecular cloning, characterization and expression level in tissues and cumulus–oocyte complexes during in vitro maturation. Molecular Biology Reports. 39(5). 5831–5839. 11 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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