Chenglong Yu

2.5k total citations
87 papers, 1.6k citations indexed

About

Chenglong Yu is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Chenglong Yu has authored 87 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 17 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Chenglong Yu's work include Genetic Associations and Epidemiology (14 papers), Machine Learning in Bioinformatics (12 papers) and Fractal and DNA sequence analysis (12 papers). Chenglong Yu is often cited by papers focused on Genetic Associations and Epidemiology (14 papers), Machine Learning in Bioinformatics (12 papers) and Fractal and DNA sequence analysis (12 papers). Chenglong Yu collaborates with scholars based in Australia, China and United States. Chenglong Yu's co-authors include Rong He, Stephen S.‐T. Yau, Qian Liang, Ze Yang, Liang Sun, Chengxiao Zhao, Huiping Yuan, Zheng Zhang, Xiaoquan Zhu and Xinghui Li and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Chenglong Yu

81 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenglong Yu Australia 20 785 168 164 154 148 87 1.6k
Hong‐Hee Won South Korea 28 786 1.0× 112 0.7× 362 2.2× 128 0.8× 139 0.9× 135 2.5k
Mark Levin United States 24 1.0k 1.3× 96 0.6× 181 1.1× 73 0.5× 81 0.5× 80 2.0k
Zhu Zhu China 20 533 0.7× 151 0.9× 132 0.8× 44 0.3× 88 0.6× 330 2.0k
Chia‐Ti Tsai Taiwan 34 1.3k 1.6× 245 1.5× 507 3.1× 114 0.7× 119 0.8× 177 4.2k
Feng Zheng China 24 685 0.9× 337 2.0× 115 0.7× 219 1.4× 45 0.3× 54 2.5k
Stephen A. Williams United States 28 829 1.1× 131 0.8× 213 1.3× 34 0.2× 115 0.8× 61 2.2k
Magnus Söderberg Sweden 27 923 1.2× 162 1.0× 156 1.0× 592 3.8× 124 0.8× 70 2.7k
Alessandro Valli Italy 22 774 1.0× 111 0.7× 63 0.4× 121 0.8× 122 0.8× 48 1.6k
Věra Lánská Czechia 27 386 0.5× 106 0.6× 312 1.9× 86 0.6× 50 0.3× 171 2.2k

Countries citing papers authored by Chenglong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Chenglong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenglong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Chenglong Yu. A scholar is included among the top collaborators of Chenglong Yu 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 Chenglong Yu. Chenglong Yu 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.
Liu, Yanyan, Chenglong Yu, Yijing Liu, et al.. (2025). An autotetraploid genome of <i>Corydalis sheareri</i> provides insight into the evolution and benzylisoquinoline alkaloids diversity of <i>Corydalis</i>. SHILAP Revista de lepidopterología. 2(1). 0–0.
2.
Guo, Jia, Chenglong Yu, Weixiao Qi, et al.. (2025). Machine-Learning-Based Prediction of Algal Density Using Algal Volatile Organic Compounds for Bloom Early Warning. Environmental Science & Technology. 59(38). 20168–20178.
3.
Bousman, Chad, Ankita Narang, Ziad Al Bkhetan, et al.. (2025). Prevalence of Actionable Pharmacogenetic Genotype Frequencies, Cautionary Medication Use, and Polypharmacy in Community‐Dwelling Older Adults. Clinical Pharmacology & Therapeutics. 118(2). 337–342. 1 indexed citations
4.
5.
Li, Yin, Haicheng Wei, Jack G. Murphy, et al.. (2024). Lithium isotope systematics in an endorheic saline lacustrine system: Insights from Qinghai Lake, China. Applied Geochemistry. 175. 106190–106190. 1 indexed citations
6.
Wang, Ting, Yuchen Zhuang, Chenglong Yu, et al.. (2024). D-beta-hydroxybutyrate up-regulates Claudin-1 and alleviates the intestinal hyperpermeability in lipopolysaccharide-treated mice. Tissue and Cell. 87. 102343–102343. 2 indexed citations
7.
Yu, Chenglong, Liubov D. Robman, Robyn L. Woods, et al.. (2024). Predictive Performance of an Updated Polygenic Risk Score for Age-Related Macular Degeneration. Ophthalmology. 131(8). 880–891. 6 indexed citations
8.
Yu, Chenglong, Weibin Li, Wei Li, et al.. (2024). A survey for table recognition based on deep learning. Neurocomputing. 600. 128154–128154. 2 indexed citations
9.
Yu, Chenglong, et al.. (2023). Sluggish lithium isotopic response of continental intraplate basalts to recycled sedimentary carbonate. Lithos. 442-443. 107062–107062. 1 indexed citations
10.
Yu, Chenglong, Wei Tian, Jianhui Chen, et al.. (2023). Therapeutic effect of a self-made herbal formula on a multi-drug resistant Eimeria tenella isolate infection in broiler chickens. Veterinary Parasitology. 324. 110057–110057. 4 indexed citations
11.
Dugué, Pierre‐Antoine, Chenglong Yu, Allison Hodge, et al.. (2023). Methylation scores for smoking, alcohol consumption and body mass index and risk of seven types of cancer. International Journal of Cancer. 153(3). 489–498. 7 indexed citations
12.
Dugué, Pierre‐Antoine, Julie K. Bassett, Ee Ming Wong, et al.. (2020). Biological Aging Measures Based on Blood DNA Methylation and Risk of Cancer: A Prospective Study. JNCI Cancer Spectrum. 5(1). 47 indexed citations
13.
Wong, Ma‐Li, Mauricio Arcos‐Burgos, Sha Liu, et al.. (2020). Rare Functional Variants Associated with Antidepressant Remission in Mexican-Americans. Journal of Affective Disorders. 279. 491–500. 6 indexed citations
14.
Yu, Chenglong, Bernhard T. Baune, Julio Licínio, & Ma‐Li Wong. (2017). Whole-genome single nucleotide variant distribution on genomic regions and its relationship to major depression. Psychiatry Research. 252. 75–79. 9 indexed citations
15.
Gao, Qian, et al.. (2016). Roles of Ferrous and Sulfide Ions in the Fromation of Algae—Induced Black Bloom in Hyper Eutrophic Freshwater Lakes in China. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
16.
Yu, Chenglong, Hui Zheng, Shek-Chung Yau, et al.. (2014). Global comparison of multiple-segmented viruses in 12-dimensional genome space. Molecular Phylogenetics and Evolution. 81. 29–36. 27 indexed citations
17.
Yu, Chenglong, Hui Zheng, Shek-Chung Yau, et al.. (2013). Real Time Classification of Viruses in 12 Dimensions. PLoS ONE. 8(5). e64328–e64328. 52 indexed citations
18.
Yu, Chenglong, Megan Farrelly, & Rebekah Ruth Brown. (2012). Revealing the variables in the management of decentralised water systems in Australia. 220. 4 indexed citations
19.
Yau, Stephen S.‐T., Chenglong Yu, & Rong He. (2008). A Protein Map and Its Application. DNA and Cell Biology. 27(5). 241–250. 56 indexed citations
20.
Tsao, Betty P., Rita M. Cantor, Kenneth Kalunian, et al.. (1997). Evidence for linkage of a candidate chromosome 1 region to human systemic lupus erythematosus.. Journal of Clinical Investigation. 99(4). 725–731. 202 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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