Danni Deng

814 total citations
24 papers, 642 citations indexed

About

Danni Deng is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Danni Deng has authored 24 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Danni Deng's work include MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (9 papers) and Cancer-related molecular mechanisms research (7 papers). Danni Deng is often cited by papers focused on MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (9 papers) and Cancer-related molecular mechanisms research (7 papers). Danni Deng collaborates with scholars based in China. Danni Deng's co-authors include Feng Zhi, Nan Shao, Lian Xue, Yilin Yang, Xiwei Xia, Qiang Wang, Ya Peng, Suinuan Wang, Yuan Xu and Rong Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Cellular and Molecular Life Sciences.

In The Last Decade

Danni Deng

23 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danni Deng China	13	493	400	76	45	41	24	642
Chen Lv China	14	266 0.5×	187 0.5×	32 0.4×	43 1.0×	44 1.1×	24	430
Hala Elnakat Thomas United States	9	312 0.6×	110 0.3×	145 1.9×	68 1.5×	31 0.8×	9	460
Tomasz Domoradzki Poland	5	272 0.6×	155 0.4×	40 0.5×	58 1.3×	26 0.6×	7	459
Anna Priebe United States	3	292 0.6×	178 0.4×	68 0.9×	63 1.4×	16 0.4×	7	493
Guosong Jiang China	15	651 1.3×	399 1.0×	32 0.4×	110 2.4×	12 0.3×	24	815
Jia‐Peng Li China	14	463 0.9×	353 0.9×	52 0.7×	113 2.5×	10 0.2×	35	644
Rikki A. M. Brown Australia	10	530 1.1×	484 1.2×	39 0.5×	83 1.8×	28 0.7×	11	783
Jianbing Hou China	13	408 0.8×	148 0.4×	96 1.3×	154 3.4×	25 0.6×	24	629
Jeong Yong Jeon South Korea	15	316 0.6×	166 0.4×	74 1.0×	116 2.6×	80 2.0×	20	559
Manoj Kumar Karuppusamy Rathinam United States	6	453 0.9×	144 0.4×	30 0.4×	157 3.5×	29 0.7×	7	657

Countries citing papers authored by Danni Deng

Since Specialization

Citations

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

Fields of papers citing papers by Danni Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danni Deng

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

All Works

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20 of 20 papers shown

Zhang, Wanli, Zijie Wu, Yanchao Xu, et al.. (2024). NitraTh epitope-based neoantigen vaccines for effective tumor immunotherapy. Cancer Immunology Immunotherapy. 73(12). 245–245. 1 indexed citations

Fan, Ligang, Yixuan Niu, Zhengxin Chen, et al.. (2024). UCHL3 induces radiation resistance and acquisition of mesenchymal phenotypes by deubiquitinating POLD4 in glioma stem cells. Cellular and Molecular Life Sciences. 81(1). 247–247. 6 indexed citations

Deng, Danni, Shuyang Xu, Le Gao, et al.. (2024). Nitrated T cell epitope linked vaccine targeting CD47 elicits antitumor immune responses and acts synergistically with vaccine targeting PDL1. International Immunopharmacology. 128. 111374–111374. 1 indexed citations

Jiang, Xiao, Yixuan Niu, Yudan Ding, et al.. (2024). E2F1-regulated USP5 contributes to the tumorigenic capacity of glioma stem cells through the maintenance of OCT4 stability. Cancer Letters. 593. 216875–216875. 4 indexed citations

Tang, Yongming, et al.. (2023). MSDF-SGD: Most-Significant Digit-First Stochastic Gradient Descent for Arbitrary-Precision Training. 159–165. 4 indexed citations

Wang, Rong, Bowen Li, Nan Shao, Danni Deng, & Feng Zhi. (2021). A novel antitumor peptide inhibits proliferation and migration and promotes apoptosis in glioma cells by regulating the MKK6/p38 signaling pathway. Neoplasma. 68(4). 732–741. 2 indexed citations

Deng, Danni, et al.. (2021). High-dimensional hepatopath data analysis by machine learning for predicting HBV-related fibrosis. Scientific Reports. 11(1). 5081–5081. 6 indexed citations

Deng, Danni, Kaiming Luo, Hongmei Liu, et al.. (2019). p62 acts as an oncogene and is targeted by miR-124-3p in glioma. Cancer Cell International. 19(1). 280–280. 34 indexed citations

Wang, Rong, Danni Deng, Nan Shao, et al.. (2018). Evodiamine activates cellular apoptosis through suppressing PI3K/AKT and activating MAPK in glioma. OncoTargets and Therapy. Volume 11. 1183–1192. 47 indexed citations

10.

Wang, Qiang, Rong Wang, Danni Deng, et al.. (2018). The long non-coding RNA SNHG14 inhibits cell proliferation and invasion and promotes apoptosis by sponging miR-92a-3p in glioma. Oncotarget. 9(15). 12112–12124. 36 indexed citations

11.

Wang, Qiang, Qing Li, Peng Zhou, et al.. (2017). Upregulation of the long non-coding RNA SNHG1 predicts poor prognosis, promotes cell proliferation and invasion, and reduces apoptosis in glioma. Biomedicine & Pharmacotherapy. 91. 906–911. 51 indexed citations

12.

Zhi, Feng, Lian Xue, Nan Shao, et al.. (2016). δ-Opioid Receptor Activation and MicroRNA Expression in the Rat Heart Under Prolonged Hypoxia. Cellular Physiology and Biochemistry. 39(3). 1118–1128. 23 indexed citations

13.

Zhi, Feng, Nan Shao, Bowen Li, et al.. (2016). A serum 6-miRNA panel as a novel non-invasive biomarker for meningioma. Scientific Reports. 6(1). 32067–32067. 47 indexed citations

14.

Yang, Yilin, Jia Geng, Qiang Wang, et al.. (2015). Tubeimoside-1 induces glioma apoptosis through regulation of Bax/Bcl-2 and the ROS/Cytochrome C/Caspase-3 pathway. OncoTargets and Therapy. 8. 303–303. 84 indexed citations

15.

Deng, Danni, Lian Xue, Nan Shao, et al.. (2015). miR-137 acts as a tumor suppressor in astrocytoma by targeting RASGRF1. Tumor Biology. 37(3). 3331–3340. 20 indexed citations

16.

Zhi, Feng, Qiang Wang, Lian Xue, et al.. (2015). The Use of Three Long Non-Coding RNAs as Potential Prognostic Indicators of Astrocytoma. PLoS ONE. 10(8). e0135242–e0135242. 19 indexed citations

17.

Zhi, Feng, Rong Wang, Qiang Wang, et al.. (2014). MicroRNAs in Neuroblastoma: Small-Sized Players with a Large Impact. Neurochemical Research. 39(4). 613–623. 20 indexed citations

18.

Zhi, Feng, Danni Deng, Nan Shao, et al.. (2014). MiR-181b-5p Downregulates NOVA1 to Suppress Proliferation, Migration and Invasion and Promote Apoptosis in Astrocytoma. PLoS ONE. 9(10). e109124–e109124. 62 indexed citations

19.

Zhi, Feng, Nan Shao, Rong Wang, et al.. (2014). Identification of 9 serum microRNAs as potential noninvasive biomarkers of human astrocytoma. Neuro-Oncology. 17(3). 383–391. 89 indexed citations

20.

Tian, Hong, et al.. (2012). Screening system for orthogonal suppressor tRNAs based on the species-specific toxicity of suppressor tRNAs. Biochimie. 95(4). 881–888. 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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