Alan Y. Deng

2.9k total citations
102 papers, 2.4k citations indexed

About

Alan Y. Deng is a scholar working on Physiology, Molecular Biology and Genetics. According to data from OpenAlex, Alan Y. Deng has authored 102 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Physiology, 39 papers in Molecular Biology and 37 papers in Genetics. Recurrent topics in Alan Y. Deng's work include Adipose Tissue and Metabolism (43 papers), Genetic Mapping and Diversity in Plants and Animals (29 papers) and Renin-Angiotensin System Studies (25 papers). Alan Y. Deng is often cited by papers focused on Adipose Tissue and Metabolism (43 papers), Genetic Mapping and Diversity in Plants and Animals (29 papers) and Renin-Angiotensin System Studies (25 papers). Alan Y. Deng collaborates with scholars based in Canada, United States and China. Alan Y. Deng's co-authors include John P. Rapp, Howard Dene, Julie Dutil, Michael R. Garrett, Annie Ménard, Barbara Hoebee, Na Tian, Ying Yu, Edward K. Wakeland and Laurence Morel and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Alan Y. Deng

95 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alan Y. Deng Canada	27	1.1k	957	843	770	683	102	2.4k
Li‐Shin Huang United States	26	441 0.4×	322 0.3×	1.2k 1.5×	567 0.7×	723 1.1×	39	2.8k
Miklós Péterfy United States	27	553 0.5×	363 0.4×	1.5k 1.7×	673 0.9×	528 0.8×	53	2.8k
Frédéric Leprêtre France	21	460 0.4×	405 0.4×	690 0.8×	164 0.2×	177 0.3×	47	1.8k
Mia Klannemark Sweden	9	688 0.7×	569 0.6×	958 1.1×	136 0.2×	281 0.4×	11	1.8k
Vivian E.H. Dahlmans Netherlands	22	398 0.4×	118 0.1×	843 1.0×	337 0.4×	362 0.5×	34	1.7k
Fukushi Kambe Japan	26	245 0.2×	261 0.3×	1.1k 1.3×	108 0.1×	525 0.8×	75	2.0k
Junji Fujikura Japan	25	440 0.4×	255 0.3×	1.0k 1.2×	159 0.2×	469 0.7×	53	1.9k
Dominique Loffing‐Cueni Switzerland	29	181 0.2×	253 0.3×	2.2k 2.6×	182 0.2×	782 1.1×	53	3.2k
Stefan Amisten Sweden	26	197 0.2×	330 0.3×	780 0.9×	130 0.2×	499 0.7×	44	1.7k
W S Lee United States	13	272 0.3×	169 0.2×	945 1.1×	121 0.2×	471 0.7×	15	1.9k

Countries citing papers authored by Alan Y. Deng

Since Specialization

Citations

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

Fields of papers citing papers by Alan Y. Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan Y. Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Alan Y. Deng. A scholar is included among the top collaborators of Alan Y. 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 Alan Y. Deng. Alan Y. 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

Cao, Jie, Xi Chen, Lulu Chen, et al.. (2025). DHODH-mediated mitochondrial redox homeostasis: a novel ferroptosis regulator and promising therapeutic target. Redox Biology. 85. 103788–103788. 9 indexed citations

McEntagart, Meriel, et al.. (2025). P762: Empowering geneticists to do genomic reanalysis routinely. Genetics in Medicine Open. 3. 103131–103131.

Chen, Lulu, Yajuan Lu, Alan Y. Deng, et al.. (2025). Epitranscriptomic modifications in programmed cell death: mechanistic insights and implications for liver diseases. Cellular & Molecular Biology Letters. 30(1). 116–116.

Groves, Danielle C., Andrew McMahon, Haitian Fan, et al.. (2025). Mechanistic insights into the activity of SARS-CoV-2 RNA polymerase inhibitors using single-molecule FRET. Nucleic Acids Research. 53(8). 1 indexed citations

Zhou, Yuxuan, Jie Cao, Xi Chen, et al.. (2025). Application of a magnetic bead-assisted liquid chromatography-tandem mass spectrometry method for the simultaneous detection of aldosterone, cortisol, deoxycorticosterone, and cortisone in plasma. Journal of Chromatography A. 1763. 466429–466429.

Chen, Yuhan, Shi‐Jun Yue, Lingyan Yu, et al.. (2025). Regulation and Function of the cGAS-STING Pathway: Mechanisms, Post-Translational Modifications, and Therapeutic Potential in Immunotherapy. Drug Design Development and Therapy. Volume 19. 1721–1739. 12 indexed citations

Zhang, Ping, Yingchao Liu, Yajuan Lu, et al.. (2025). Explore the role of CBS in stomach adenocarcinoma based on the sulfur-containing amino acid metabolism network. Scientific Reports. 15(1). 28829–28829.

Wang, Xu, Sainan Li, Cao Li, et al.. (2024). Construction of molecular subtype and prognostic model for gastric cancer based on nucleus-encoded mitochondrial genes. Scientific Reports. 14(1). 28491–28491. 2 indexed citations

Deng, Alan Y., et al.. (2023). Shifting Paradigm from Gene Expressions to Pathways Reveals Physiological Mechanisms in Blood Pressure Control in Causation. International Journal of Molecular Sciences. 24(2). 1262–1262.

10.

Deng, Alan Y., et al.. (2018). Functional Dosage of Muscarinic Cholinergic Receptor 3 Signalling, Not the Gene Dose, Determines Its Hypertension Pathogenesis. Canadian Journal of Cardiology. 35(5). 661–670. 9 indexed citations

11.

Ménard, Annie, et al.. (2016). Retinoblastoma-associated protein 140 as a candidate for a novel etiological gene to hypertension. Clinical and Experimental Hypertension. 38(6). 533–540. 3 indexed citations

12.

Deng, Alan Y., et al.. (2016). Alterations in Fibronectin Type III Domain Containing 1 Protein Gene Are Associated with Hypertension. PLoS ONE. 11(4). e0151399–e0151399. 12 indexed citations

13.

Deng, Alan Y.. (2015). Genetic mechanisms of polygenic hypertension. Journal of Hypertension. 33(4). 669–680. 16 indexed citations

14.

Deng, Alan Y.. (2014). Genetics of systolic and diastolic heart failure. Journal of Hypertension. 33(1). 3–13. 5 indexed citations

15.

Ménard, Annie, et al.. (2011). α-Kinase 2 is a novel candidate gene for inherited hypertension in Dahl rats. Journal of Hypertension. 29(7). 1320–1326. 15 indexed citations

16.

Rodríguez, Walter, et al.. (2008). Congenic expression of tissue inhibitor of metalloproteinase in Dahl-salt sensitive hypertensive rats is associated with reduced LV hypertrophy. Archives of Physiology and Biochemistry. 114(5). 340–348. 8 indexed citations

17.

Ménard, Annie, et al.. (2006). Individual QTLs controlling quantitative variation in blood pressure inherited in a Mendelian mode. Heredity. 98(3). 165–171. 14 indexed citations

18.

Palijan, Ana, et al.. (2004). Dissecting quantitative trait loci into opposite blood pressure effects on Dahl rat chromosome 8 by congenic strains. Journal of Hypertension. 22(8). 1495–1502. 37 indexed citations

19.

Dene, Howard, et al.. (1997). Linkage map and congenic strains to localize blood pressure QTL on rat Chromosome 10. Mammalian Genome. 8(4). 229–235. 72 indexed citations

20.

Deng, Alan Y. & John P. Rapp. (1995). Linkage mapping of the endothelin-converting enzyme gene (Ednce) to rat Chromosome 5. Mammalian Genome. 6(10). 759–760. 5 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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