Yu Deng

1.0k total citations
31 papers, 714 citations indexed

About

Yu Deng is a scholar working on Molecular Biology, Ecology and Biotechnology. According to data from OpenAlex, Yu Deng has authored 31 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Ecology and 7 papers in Biotechnology. Recurrent topics in Yu Deng's work include Genomics and Phylogenetic Studies (10 papers), Microbial Community Ecology and Physiology (7 papers) and Enzyme Production and Characterization (6 papers). Yu Deng is often cited by papers focused on Genomics and Phylogenetic Studies (10 papers), Microbial Community Ecology and Physiology (7 papers) and Enzyme Production and Characterization (6 papers). Yu Deng collaborates with scholars based in China, United States and Hong Kong. Yu Deng's co-authors include Xujing Guo, Lirong Dai, Hui Zhang, Xiaosong He, Lu Chen, Shichun Ma, Lei Cheng, Qiang Li, Liansheng He and Donghai Yuan and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Scientific Reports.

In The Last Decade

Yu Deng

30 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Deng China 13 203 122 105 101 89 31 714
M Muramatsu Japan 18 333 1.6× 93 0.8× 204 1.9× 85 0.8× 104 1.2× 34 1.1k
Anja Ziegler Switzerland 11 301 1.5× 211 1.7× 167 1.6× 56 0.6× 53 0.6× 18 939
Susan K. De Long United States 22 1.0k 5.0× 209 1.7× 105 1.0× 95 0.9× 371 4.2× 53 1.8k
Ermanno Federici Italy 23 220 1.1× 203 1.7× 91 0.9× 19 0.2× 95 1.1× 40 1.0k
Wenying Zhu China 16 306 1.5× 297 2.4× 36 0.3× 28 0.3× 120 1.3× 36 1.2k
Ana García‐Martínez Spain 22 185 0.9× 158 1.3× 72 0.7× 15 0.1× 69 0.8× 32 1.5k
Mikkel Holmen Andersen Denmark 17 287 1.4× 173 1.4× 27 0.3× 23 0.2× 33 0.4× 22 907
Saikat Chowdhury United States 13 396 2.0× 120 1.0× 116 1.1× 20 0.2× 105 1.2× 48 1.3k

Countries citing papers authored by Yu Deng

Since Specialization
Citations

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

Fields of papers citing papers by Yu Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Deng. A scholar is included among the top collaborators of Yu 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 Yu Deng. Yu 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.
Lu, Xiangyang, et al.. (2025). Construction of heterogeneous wave-absorbing structures inspired by the structure of cucumbers. Journal of Materials Chemistry C. 13(27). 13836–13846. 1 indexed citations
2.
3.
Du, Zhicheng, Wangjian Zhang, Xiaowen Wang, et al.. (2024). Cohort Profile: The Pearl River Cohort Study. International Journal of Epidemiology. 53(5). 4 indexed citations
4.
Yang, Xiaoyun, Yu Deng, Amy E. Krefman, et al.. (2024). Incorporating longitudinal history of risk factors into atherosclerotic cardiovascular disease risk prediction using deep learning. Scientific Reports. 14(1). 2554–2554. 6 indexed citations
5.
Deng, Yu, et al.. (2022). Use of real-world evidence data to evaluate the comparative effectiveness of second-line type 2 diabetes medications on chronic kidney disease. Journal of Clinical & Translational Endocrinology. 30. 100309–100309. 3 indexed citations
6.
7.
Wu, Weidong, Shichun Ma, Rui Chen, Yan Huang, & Yu Deng. (2022). Genome-wide analysis of Keratinibaculum paraultunense strain KD-1 T and its key genes and metabolic pathways involved in the anaerobic degradation of feather keratin. Archives of Microbiology. 204(10). 634–634. 5 indexed citations
8.
Ma, Shichun, Rui Chen, Weidong Wu, et al.. (2021). Aminipila luticellarii sp. nov., an anaerobic bacterium isolated from the pit mud of strong aromatic Chinese liquor, and emended description of the genus Aminipila. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 71(10). 7 indexed citations
9.
Wang, Xinwei, Danyang Li, Yu Deng, et al.. (2021). Molecular characterization and pathogenicity of a fowl adenovirus serotype 4 isolated from peacocks associated with hydropericardium hepatitis syndrome. Infection Genetics and Evolution. 90. 104766–104766. 5 indexed citations
10.
Chen, Rui, et al.. (2019). Clostridium prolinivorans sp. nov., a thermophilic bacterium isolated from an anaerobic reactor degrading propionate. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 70(10). 5190–5196. 4 indexed citations
11.
Wang, Ying, Xiangyong Li, Lili Wu, et al.. (2019). Dynamic prediction of liver cirrhosis risk in chronic hepatitis B patients using longitudinal clinical data. European Journal of Gastroenterology & Hepatology. 32(1). 120–126. 1 indexed citations
12.
Zhang, Xue, Bo Tu, Lirong Dai, et al.. (2018). Petroclostridium xylanilyticum gen. nov., sp. nov., a xylan-degrading bacterium isolated from an oilfield, and reclassification of clostridial cluster III members into four novel genera in a new Hungateiclostridiaceae fam. nov.. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 68(10). 3197–3211. 80 indexed citations
13.
Liu, Jundi, Yu Deng, Qinlong Jing, et al.. (2018). Dengue Infection Spectrum in Guangzhou: A Cross-Sectional Seroepidemiology Study among Community Residents between 2013 and 2015. International Journal of Environmental Research and Public Health. 15(6). 1227–1227. 11 indexed citations
14.
Deng, Yu, Xiang Guo, Yanwei Wang, et al.. (2015). Terrisporobacter petrolearius sp. nov., isolated from an oilfield petroleum reservoir. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 65(Pt_10). 3522–3526. 53 indexed citations
15.
Liu, Chaolan, Dan Huang, Jin Zhang, et al.. (2014). Clostridium swellfunianum sp. nov., a novel anaerobic bacterium isolated from the pit mud of Chinese Luzhou-flavor liquor production. Antonie van Leeuwenhoek. 106(4). 817–825. 35 indexed citations
16.
Huang, Yan, Yingjie Sun, Shichun Ma, et al.. (2013). Isolation and characterization ofKeratinibaculum paraultunensegen. nov., sp. nov., a novel thermophilic, anaerobic bacterium with keratinolytic activity. FEMS Microbiology Letters. 345(1). 56–63. 33 indexed citations
17.
Guo, Xujing, Liansheng He, Qiang Li, Donghai Yuan, & Yu Deng. (2013). Investigating the spatial variability of dissolved organic matter quantity and composition in Lake Wuliangsuhai. Ecological Engineering. 62. 93–101. 58 indexed citations
18.
Deng, Yu, et al.. (2010). [Identification and metabolism characterization of a Clostridium lituseburense strain isolated from high-altitude soil].. PubMed. 50(9). 1135–40. 2 indexed citations
19.
20.
Feng, Yixiao, Lei Cheng, Xiaoxia Zhang, et al.. (2009). Thermococcoides shengliensis gen. nov., sp. nov., a new member of the order Thermotogales isolated from oil-production fluid. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 60(4). 932–937. 25 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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