Cong Deng

442 total citations
30 papers, 341 citations indexed

About

Cong Deng is a scholar working on Molecular Biology, Hematology and Pathology and Forensic Medicine. According to data from OpenAlex, Cong Deng has authored 30 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Hematology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Cong Deng's work include Acute Myeloid Leukemia Research (5 papers), Multiple Myeloma Research and Treatments (3 papers) and Autophagy in Disease and Therapy (3 papers). Cong Deng is often cited by papers focused on Acute Myeloid Leukemia Research (5 papers), Multiple Myeloma Research and Treatments (3 papers) and Autophagy in Disease and Therapy (3 papers). Cong Deng collaborates with scholars based in China, Netherlands and Italy. Cong Deng's co-authors include Xu Zhang, Yulian Pang, Jiejie Zhuang, Wei Ye, Fen Li, Lin Fu, Xi Xie, Jing Tian, Shu Li and Jia Wang and has published in prestigious journals such as European Journal of Pharmacology, Investigative Ophthalmology & Visual Science and Psychiatry Research.

In The Last Decade

Cong Deng

28 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Deng China 11 200 77 40 35 31 30 341
Serena Mirra Spain 11 220 1.1× 49 0.6× 30 0.8× 17 0.5× 31 1.0× 20 314
Ling Tang China 8 232 1.2× 50 0.6× 22 0.6× 14 0.4× 95 3.1× 16 391
Debasish Sinha United States 6 238 1.2× 253 3.3× 101 2.5× 40 1.1× 10 0.3× 6 393
Shorafidinkhuja Dadakhujaev South Korea 10 199 1.0× 31 0.4× 88 2.2× 6 0.2× 38 1.2× 10 379
Daniela Strobbe Italy 10 252 1.3× 16 0.2× 172 4.3× 15 0.4× 23 0.7× 14 391
Lili Xie China 12 168 0.8× 21 0.3× 36 0.9× 66 1.9× 47 1.5× 28 366
Philippe Gohier France 12 196 1.0× 280 3.6× 29 0.7× 60 1.7× 4 0.1× 31 524
Lin Leng China 12 175 0.9× 181 2.4× 189 4.7× 103 2.9× 26 0.8× 34 609
Lu Cheng China 12 151 0.8× 26 0.3× 30 0.8× 9 0.3× 23 0.7× 35 379

Countries citing papers authored by Cong Deng

Since Specialization
Citations

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

Fields of papers citing papers by Cong Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Deng. A scholar is included among the top collaborators of Cong 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 Cong Deng. Cong 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, Cong, et al.. (2024). Identification of EGFR R776H germline mutations in a patient with multifocal lung adenocarcinoma: A case report and literature review. Respiratory Medicine Case Reports. 50. 102051–102051. 1 indexed citations
2.
Deng, Cong, Tiansheng Zeng, Pei Zhu, et al.. (2023). A novel 5-gene prognostic signature to improve risk stratification of cytogenetically normal acute myeloid leukemia. Journal of Cancer Research and Clinical Oncology. 149(12). 10015–10025. 2 indexed citations
3.
Zhang, Zhiyong, Cong Deng, Pei Zhu, et al.. (2023). Single‐cell RNA‐seq reveals a microenvironment and an exhaustion state of T/NK cells in acute myeloid leukemia. Cancer Science. 114(10). 3873–3883. 12 indexed citations
4.
Cai, Siyu, et al.. (2023). Predicting cutaneous malignant melanoma patients’ survival using deep learning: a retrospective cohort study. Journal of Cancer Research and Clinical Oncology. 149(19). 17103–17113. 1 indexed citations
5.
Deng, Cong, Beibei Gao, Tianli Wang, et al.. (2023). T Lymphoblastic Lymphoma Hiding in Mature Plasmacytoid Dendritic Cell Proliferation: A Case Report and Literature Review. Diagnostics. 13(20). 3248–3248. 3 indexed citations
6.
Peng, Liang, Chen‐Fei Liu, Hong Wu, et al.. (2022). Complete Genome Sequencing and Comparative Analysis of the Clinically-Derived Apiotrichum mycotoxinivorans Strain GMU1709. Frontiers in Cellular and Infection Microbiology. 12. 834015–834015. 3 indexed citations
7.
Deng, Cong, Chaozeng Si, Ye Xu, et al.. (2021). Prognostic significance of FSCN family in multiple myeloma. Journal of Cancer. 12(7). 1936–1944. 2 indexed citations
8.
Huang, Wenhui, Tingting Qian, Yan Liu, et al.. (2021). Increased expression of IFI16 predicts adverse prognosis in multiple myeloma. The Pharmacogenomics Journal. 21(4). 520–532. 4 indexed citations
9.
Zeng, Tiansheng, Longzhen Cui, Wenhui Huang, et al.. (2021). The establishment of a prognostic scoring model based on the new tumor immune microenvironment classification in acute myeloid leukemia. BMC Medicine. 19(1). 176–176. 18 indexed citations
10.
Cheng, Zhiheng, Yifeng Dai, Wenhui Huang, et al.. (2021). Prognostic Value of MicroRNA-20b in Acute Myeloid Leukemia. Frontiers in Oncology. 10. 553344–553344. 6 indexed citations
11.
Huang, Wenhui, Tingting Qian, Zhiheng Cheng, et al.. (2020). Prognostic significance of Spinster homolog gene family in acute myeloid leukemia. Journal of Cancer. 11(15). 4581–4588. 10 indexed citations
12.
Wu, Yue, Yulian Pang, Wei Wei, et al.. (2020). Resveratrol protects retinal ganglion cell axons through regulation of the SIRT1-JNK pathway. Experimental Eye Research. 200. 108249–108249. 33 indexed citations
13.
Wang, Feifei, Fangli Ma, Yuning Song, et al.. (2020). Topical administration of rapamycin promotes retinal ganglion cell survival and reduces intraocular pressure in a rat glaucoma model. European Journal of Pharmacology. 884. 173369–173369. 14 indexed citations
14.
Zhuang, Jiejie, et al.. (2018). Resveratrol Delays Retinal Ganglion Cell Loss and Attenuates Gliosis-Related Inflammation From Ischemia-Reperfusion Injury. Investigative Ophthalmology & Visual Science. 59(10). 3879–3879. 72 indexed citations
15.
Liang, Peng, et al.. (2017). [Expression of Proteus mirabilis polyphosphate kinase and preparation of its polyclonal antibodies].. Europe PMC (PubMed Central). 37(3). 312–316.
16.
Jiang, Tingyun, Lu Zong, Lin Zhou, et al.. (2017). Variation in global DNA hydroxymethylation with age associated with schizophrenia. Psychiatry Research. 257. 497–500. 19 indexed citations
17.
Li, Shu, Jinwei Chen, Xi Xie, et al.. (2017). Autophagy inhibitor regulates apoptosis and proliferation of synovial fibroblasts through the inhibition of PI3K/AKT pathway in collagen-induced arthritis rat model.. PubMed. 9(5). 2065–2076. 48 indexed citations
18.
Zong, Lu, Lin Zhou, Lulu Zhang, et al.. (2016). Genetic and epigenetic regulation on the transcription of GABRB2 : Genotype-dependent hydroxymethylation and methylation alterations in schizophrenia. Journal of Psychiatric Research. 88. 9–17. 29 indexed citations
19.
Yin, Yi, Lu Lu, Dongtao Wang, et al.. (2015). Astragalus Polysaccharide Inhibits Autophagy and Apoptosis from Peroxide-Induced Injury in C2C12 Myoblasts. Cell Biochemistry and Biophysics. 73(2). 433–439. 20 indexed citations
20.
Peng, Liang, et al.. (2015). Involvement of polyphosphate kinase in virulence and stress tolerance of uropathogenic Proteus mirabilis. Medical Microbiology and Immunology. 205(2). 97–109. 19 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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