Senyi Deng

2.0k total citations · 1 hit paper
48 papers, 1.1k citations indexed

About

Senyi Deng is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Senyi Deng has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 17 papers in Pulmonary and Respiratory Medicine and 15 papers in Oncology. Recurrent topics in Senyi Deng's work include Cancer Immunotherapy and Biomarkers (8 papers), Ferroptosis and cancer prognosis (6 papers) and Nanoparticle-Based Drug Delivery (6 papers). Senyi Deng is often cited by papers focused on Cancer Immunotherapy and Biomarkers (8 papers), Ferroptosis and cancer prognosis (6 papers) and Nanoparticle-Based Drug Delivery (6 papers). Senyi Deng collaborates with scholars based in China, United States and Italy. Senyi Deng's co-authors include Le Zhang, Yuquan Wei, Zhiyong Qian, Qinjie Wu, Changyang Gong, Julio Vera, Huiru Zheng, Yujie You, Xin Lai and Yi Pan and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Senyi Deng

44 papers receiving 1.1k citations

Hit Papers

Artificial intelligence in cancer target identification a... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Senyi Deng China 17 424 224 165 152 151 48 1.1k
Yang Wan China 18 544 1.3× 194 0.9× 72 0.4× 186 1.2× 209 1.4× 73 1.2k
Gamze Güney Eskiler Türkiye 20 445 1.0× 183 0.8× 161 1.0× 220 1.4× 42 0.3× 92 984
Nadeem Zafar United States 16 458 1.1× 240 1.1× 130 0.8× 234 1.5× 212 1.4× 48 1.2k
Fayun Zhang China 19 609 1.4× 135 0.6× 147 0.9× 165 1.1× 34 0.2× 29 1.3k
Qunyou Tan China 20 438 1.0× 170 0.8× 140 0.8× 122 0.8× 78 0.5× 48 1.0k
Rajendra Kumar India 20 293 0.7× 229 1.0× 189 1.1× 168 1.1× 47 0.3× 60 1.1k
Apurva R. Patel United States 19 598 1.4× 316 1.4× 277 1.7× 258 1.7× 68 0.5× 34 1.7k
Rupa Sanyal India 7 449 1.1× 185 0.8× 218 1.3× 207 1.4× 36 0.2× 14 1.1k
Amin Safa Iran 21 621 1.5× 122 0.5× 105 0.6× 178 1.2× 57 0.4× 45 1.6k
Kamran Mansouri Iran 19 457 1.1× 166 0.7× 127 0.8× 100 0.7× 171 1.1× 63 1.2k

Countries citing papers authored by Senyi Deng

Since Specialization
Citations

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

Fields of papers citing papers by Senyi Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Senyi Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Senyi Deng. A scholar is included among the top collaborators of Senyi 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 Senyi Deng. Senyi Deng 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.
Deng, Senyi, et al.. (2025). Artificial intelligence models for periodontitis classification: A systematic review. Journal of Dentistry. 156. 105690–105690. 4 indexed citations
3.
He, Xu, et al.. (2024). Extensive infiltration of CD8+ T cells and M1 macrophages is beneficial for multiple cancer patients undergoing chemotherapy. SHILAP Revista de lepidopterología. 3(3). 3 indexed citations
4.
Zhang, Jian, Kejia Zhao, Wenjing Zhou, et al.. (2024). Tet methylcytosine dioxygenase 2 (TET2) deficiency elicits EGFR-TKI (tyrosine kinase inhibitors) resistance in non-small cell lung cancer. Signal Transduction and Targeted Therapy. 9(1). 65–65. 7 indexed citations
5.
Lü, Zhou, et al.. (2023). Dual network analysis of transcriptome data for discovery of new therapeutic targets in non-small cell lung cancer. Oncogene. 42(49). 3605–3618. 5 indexed citations
6.
Tian, Dong, Heng Huang, Junjie Wang, et al.. (2023). Metformin attenuates chronic lung allograft dysfunction: evidence in rat models. Respiratory Research. 24(1). 192–192. 1 indexed citations
7.
Cheng, Jiahan, Liang Xia, Yonghong Mao, et al.. (2022). Targeting STT3A produces an anti-tumor effect in lung adenocarcinoma by blocking the MAPK and PI3K/AKT signaling pathway. Translational Lung Cancer Research. 11(6). 1089–1107. 6 indexed citations
8.
Zeng, Zhen, et al.. (2021). Ectopic bronchogenic cyst arising from the diaphragm: a rare case report and literature review. BMC Surgery. 21(1). 321–321. 9 indexed citations
9.
Peng, Zhiyu, et al.. (2021). Predictive value of pretreatment PD-L1 expression in EGFR-mutant non-small cell lung cancer: a meta-analysis. World Journal of Surgical Oncology. 19(1). 145–145. 20 indexed citations
10.
Guo, Chenglin, Jiandong Mei, Chengwu Liu, et al.. (2021). Impact of thymosin α1 as an immunomodulatory therapy on long-term survival of non-small cell lung cancer patients after R0 resection: a propensity score-matched analysis. Chinese Medical Journal. 134(22). 2700–2709. 13 indexed citations
11.
Deng, Senyi, et al.. (2020). A six-long noncoding RNA model predicts prognosis in lung adenocarcinoma. Translational Cancer Research. 9(12). 7505–7518. 1 indexed citations
12.
Deng, Senyi, et al.. (2019). Formylated honokiol analogs showed antitumor activity against lung carcinoma. Anti-Cancer Drugs. 30(8). 795–802. 9 indexed citations
13.
14.
Guo, Chenglin, Jiandong Mei, Chengwu Liu, et al.. (2016). Video-assisted thoracic surgery compared with posterolateral thoracotomy for mediastinal bronchogenic cysts in adult patients. Journal of Thoracic Disease. 8(9). 2504–2511. 20 indexed citations
15.
Gao, Xiang, Shimin Wang, Bilan Wang, et al.. (2015). Improving the anti-ovarian cancer activity of docetaxel with biodegradable self-assembly micelles through various evaluations. Biomaterials. 53. 646–658. 51 indexed citations
16.
Fan, Yibo, et al.. (2015). Effects of forkhead box C2 on carcinogenesis and lymphatic metastasis in endometrial carcinoma. Genetics and Molecular Research. 14(2). 5535–5547. 1 indexed citations
17.
Wu, Qinjie, Guo‐You Li, Senyi Deng, et al.. (2014). Enhanced antitumor activity and mechanism of biodegradable polymeric micelles-encapsulated chetomin in both transgenic zebrafish and mouse models. Nanoscale. 6(20). 11940–11952. 17 indexed citations
18.
Xia, Yong, Xuejiao Song, Deliang Li, et al.. (2014). YLT192, a Novel, Orally Active Bioavailable Inhibitor of VEGFR2 Signaling with Potent Antiangiogenic Activity and Antitumor Efficacy in Preclinical Models. Scientific Reports. 4(1). 6031–6031. 32 indexed citations
19.
Wu, Qinjie, Senyi Deng, Lei Li, et al.. (2013). Biodegradable polymeric micelle-encapsulated quercetin suppresses tumor growth and metastasis in both transgenic zebrafish and mouse models. Nanoscale. 5(24). 12480–12480. 47 indexed citations
20.
Yao, Shaohua, Senyi Deng, Hanshuo Yang, et al.. (2010). Kzp Controls Canonical wnt8 Signaling to Modulate Dorsoventral Patterning during Zebrafish Gastrulation. Journal of Biological Chemistry. 285(53). 42086–42096. 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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