Julius L. Decano

792 total citations
24 papers, 336 citations indexed

About

Julius L. Decano is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Julius L. Decano has authored 24 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Epidemiology and 6 papers in Immunology. Recurrent topics in Julius L. Decano's work include Immune cells in cancer (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Angiogenesis and VEGF in Cancer (4 papers). Julius L. Decano is often cited by papers focused on Immune cells in cancer (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Angiogenesis and VEGF in Cancer (4 papers). Julius L. Decano collaborates with scholars based in United States, Russia and Austria. Julius L. Decano's co-authors include Masanori Aikawa, Victoria L. M. Herrera, Nelson Ruiz‐Opazo, Pia Bagamasbad, Martín Steffen, Elena Aïkawa, C. Keith Ozaki, Hengmin Zhang, Sarvesh Chelvanambi and Daniel G. Anderson and has published in prestigious journals such as Circulation, Nature Communications and PLoS ONE.

In The Last Decade

Julius L. Decano

24 papers receiving 335 citations

Peers

Julius L. Decano
Carmen Härdtner Germany
Javier A. Gomez United States
Wanwen Cheng China
Jingbo Xia China
Stéphanie Chadet France
Bijal Patel United States
María Pimentel-Santillana Spain
María Guitart Spain
Isabelle Ernens Luxembourg
Carmen Härdtner Germany
Julius L. Decano
Citations per year, relative to Julius L. Decano Julius L. Decano (= 1×) peers Carmen Härdtner

Countries citing papers authored by Julius L. Decano

Since Specialization
Citations

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

Fields of papers citing papers by Julius L. Decano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julius L. Decano. 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 Julius L. Decano. The network helps show where Julius L. Decano may publish in the future.

Co-authorship network of co-authors of Julius L. Decano

This figure shows the co-authorship network connecting the top 25 collaborators of Julius L. Decano. A scholar is included among the top collaborators of Julius L. Decano 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 Julius L. Decano. Julius L. Decano 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.
Halu, Arda, Sarvesh Chelvanambi, Julius L. Decano, et al.. (2025). Integrating pharmacogenomics and cheminformatics with diverse disease phenotypes for cell type-guided drug discovery. Genome Medicine. 17(1). 7–7. 2 indexed citations
2.
Matamalas, Joan T., Sarvesh Chelvanambi, Julius L. Decano, et al.. (2024). Obesity and age are transmission risk factors for SARS-CoV-2 infection among exposed individuals. PNAS Nexus. 3(8). pgae294–pgae294. 2 indexed citations
3.
MacArthur, Michael R., Ming Tao, Sarah J. Mitchell, et al.. (2024). Preoperative methionine restriction induces perivascular adipose tissue browning and improves vein graft remodeling in male mice. Nature Communications. 15(1). 9652–9652. 2 indexed citations
4.
Chelvanambi, Sarvesh, Julius L. Decano, Holger Winkels, Chiara Giannarelli, & Masanori Aikawa. (2024). Decoding Macrophage Heterogeneity to Unravel Vascular Inflammation as a Path to Precision Medicine. Arteriosclerosis Thrombosis and Vascular Biology. 44(11). 2253–2257. 2 indexed citations
5.
Decano, Julius L., Enrico Maiorino, Joan T. Matamalas, et al.. (2023). Cellular Heterogeneity of Activated Primary Human Macrophages and Associated Drug–Gene Networks: From Biology to Precision Therapeutics. Circulation. 148(19). 1459–1478. 15 indexed citations
6.
Chelvanambi, Sarvesh, et al.. (2022). In silico Drug Screening Approach Using L1000-Based Connectivity Map and Its Application to COVID-19. Frontiers in Cardiovascular Medicine. 9. 842641–842641. 9 indexed citations
7.
Whitaker, Ragnhild Dragøy, Julius L. Decano, Yoonjee Park, et al.. (2022). Janus USPION modular platform (JUMP) for theranostic ultrasound-mediated targeted intratumoral microvascular imaging and DNA/miRNA delivery. Theranostics. 12(18). 7646–7667. 5 indexed citations
8.
Decano, Julius L., Sasha A. Singh, Lang Ho Lee, et al.. (2021). Systems Approach to Discovery of Therapeutic Targets for Vein Graft Disease: PPARα Pivotally Regulates Metabolism, Activation, and Heterogeneity of Macrophages and Lesion Development. Circulation. 143(25). 2454–2470. 21 indexed citations
9.
Sharma, Amitabh, Arda Halu, Julius L. Decano, et al.. (2018). Controllability in an islet specific regulatory network identifies the transcriptional factor NFATC4, which regulates Type 2 Diabetes associated genes. npj Systems Biology and Applications. 4(1). 25–25. 23 indexed citations
10.
Decano, Julius L. & Masanori Aikawa. (2018). Dynamic Macrophages: Understanding Mechanisms of Activation as Guide to Therapy for Atherosclerotic Vascular Disease. Frontiers in Cardiovascular Medicine. 5. 97–97. 18 indexed citations
11.
Decano, Julius L., et al.. (2016). Sex-specific genetic determinants for arterial stiffness in Dahl salt-sensitive hypertensive rats. BMC Genetics. 17(1). 19–19. 11 indexed citations
12.
Koga, Jun‐ichiro, Toshiaki Nakano, James E. Dahlman, et al.. (2015). Macrophage Notch Ligand Delta-Like 4 Promotes Vein Graft Lesion Development. Arteriosclerosis Thrombosis and Vascular Biology. 35(11). 2343–2353. 43 indexed citations
13.
14.
Herrera, Victoria L. M., et al.. (2014). DEspR Roles in Tumor Vasculo-Angiogenesis, Invasiveness, CSC-Survival and Anoikis Resistance: A ‘Common Receptor Coordinator’ Paradigm. PLoS ONE. 9(1). e85821–e85821. 12 indexed citations
15.
16.
Bergerat, Agnès, Julius L. Decano, Chang‐Jiun Wu, et al.. (2011). Prestroke Proteomic Changes in Cerebral Microvessels in Stroke-Prone, Transgenic[hCETP]-Hyperlipidemic, Dahl Salt-Sensitive Hypertensive Rats. Molecular Medicine. 17(7-8). 588–598. 20 indexed citations
17.
Decano, Julius L., et al.. (2010). Molecular Imaging of Vasa Vasorum Neovascularization via DEspR-targeted Contrast-enhanced Ultrasound Micro-imaging in Transgenic Atherosclerosis Rat Model. Molecular Imaging and Biology. 13(6). 1096–1106. 12 indexed citations
18.
Herrera, Victoria L. M., Julius L. Decano, Martín Steffen, & Nelson Ruiz‐Opazo. (2009). Autophagy: Insights from DEspR-deficiency and haploinsufficiency. Autophagy. 5(2). 259–262. 1 indexed citations
19.
Herrera, Victoria L. M., et al.. (2008). Sex-specific hippocampus-dependent cognitive deficits and increased neuronal autophagy in DEspR haploinsufficiency in mice. Physiological Genomics. 35(3). 316–329. 13 indexed citations
20.
Glorioso, Nicola, Victoria L. M. Herrera, Pia Bagamasbad, et al.. (2007). Association of ATP1A1 and Dear Single-Nucleotide Polymorphism Haplotypes With Essential Hypertension. Circulation Research. 100(10). 1522–1529. 29 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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