Danijel Djukovic

3.8k total citations
56 papers, 2.9k citations indexed

About

Danijel Djukovic is a scholar working on Molecular Biology, Physiology and Spectroscopy. According to data from OpenAlex, Danijel Djukovic has authored 56 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 16 papers in Physiology and 9 papers in Spectroscopy. Recurrent topics in Danijel Djukovic's work include Metabolomics and Mass Spectrometry Studies (21 papers), Diet and metabolism studies (10 papers) and Cancer, Hypoxia, and Metabolism (8 papers). Danijel Djukovic is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (21 papers), Diet and metabolism studies (10 papers) and Cancer, Hypoxia, and Metabolism (8 papers). Danijel Djukovic collaborates with scholars based in United States, South Africa and China. Danijel Djukovic's co-authors include Daniel Raftery, Haiwei Gu, G. A. Nagana Gowda, Jiangjiang Zhu, E. Gabriela Chiorean, Farhan Himmati, Lingli Deng, Richard P. Beyer, Peter S. Rabinovitch and Ying Ann Chiao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Danijel Djukovic

54 papers receiving 2.8k citations

Peers

Danijel Djukovic
Wen Guo United States
Mu Wang United States
Paul A. Townsend United Kingdom
Freek G. Bouwman Netherlands
Nichole Reisdorph United States
Steven M. Claypool United States
Danijel Djukovic
Citations per year, relative to Danijel Djukovic Danijel Djukovic (= 1×) peers Daniel Monleón

Countries citing papers authored by Danijel Djukovic

Since Specialization
Citations

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

Fields of papers citing papers by Danijel Djukovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danijel Djukovic

This figure shows the co-authorship network connecting the top 25 collaborators of Danijel Djukovic. A scholar is included among the top collaborators of Danijel Djukovic 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 Danijel Djukovic. Danijel Djukovic 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.
Harrison, Benjamin R., Danijel Djukovic, Matthew D. Dunbar, et al.. (2025). Protein Catabolites as Blood‐Based Biomarkers of Aging Physiology: Findings From the Dog Aging Project. Aging Cell. 24(11). e70226–e70226.
2.
Djukovic, Danijel, Daniel Raftery, Zer Vue, et al.. (2025). Selection for Early Reproduction Leads to Accelerated Aging and Extensive Metabolic Remodeling in Drosophila melanogaster. Genome Biology and Evolution. 17(5).
3.
Navarro, Sandi L., Brian D. Williamson, Ying Huang, et al.. (2024). Metabolite Predictors of Breast and Colorectal Cancer Risk in the Women’s Health Initiative. Metabolites. 14(8). 463–463. 5 indexed citations
4.
Harrison, Benjamin R., Mitchell Lee, K. N. Han, et al.. (2024). Wide‐ranging genetic variation in sensitivity to rapamycin in Drosophila melanogaster. Aging Cell. 23(11). e14292–e14292. 1 indexed citations
6.
Nyangahu, Donald, Anna‐Ursula Happel, Yuli Wang, et al.. (2023). Bifidobacterium infantis associates with T cell immunity in human infants and is sufficient to enhance antigen-specific T cells in mice. Science Advances. 9(49). eade1370–eade1370. 9 indexed citations
7.
Campbell, Matthew D., Danijel Djukovic, Daniel Raftery, & David J. Marcinek. (2023). Age‐related changes of skeletal muscle metabolic response to contraction are also sex‐dependent. The Journal of Physiology. 603(1). 69–86. 11 indexed citations
8.
Kim, Matthew, Di Ren, Zhibin He, et al.. (2022). Age‐Independent Cardiac Protection by Pharmacological Activation of Beclin‐1 During Endotoxemia and Its Association With Energy Metabolic Reprograming in Myocardium—A Targeted Metabolomics Study. Journal of the American Heart Association. 11(14). e025310–e025310. 6 indexed citations
9.
Jewett, Kathryn A., Ruth E. Thomas, Chi Q. Phan, et al.. (2021). Glucocerebrosidase reduces the spread of protein aggregation in a Drosophila melanogaster model of neurodegeneration by regulating proteins trafficked by extracellular vesicles. PLoS Genetics. 17(2). e1008859–e1008859. 23 indexed citations
10.
Jin, Kelly, Kenneth A. Wilson, Jennifer Beck, et al.. (2020). Genetic and metabolomic architecture of variation in diet restriction-mediated lifespan extension in Drosophila. PLoS Genetics. 16(7). e1008835–e1008835. 48 indexed citations
11.
Li, Ruifang, Sara A. Grimm, Deepak Mav, et al.. (2018). Transcriptome and DNA Methylome Analysis in a Mouse Model of Diet-Induced Obesity Predicts Increased Risk of Colorectal Cancer. Cell Reports. 22(3). 624–637. 52 indexed citations
12.
Parent, Brodie, Max Seaton, Danijel Djukovic, et al.. (2017). Parenteral and enteral nutrition in surgical critical care. The Journal of Trauma: Injury, Infection, and Critical Care. 82(4). 704–713. 24 indexed citations
13.
Chao, Jennifer R., Abbi L. Engel, Connor S.R. Jankowski, et al.. (2017). Human retinal pigment epithelial cells prefer proline as a nutrient and transport metabolic intermediates to the retinal side. Journal of Biological Chemistry. 292(31). 12895–12905. 70 indexed citations
14.
Lim, Seung-Oe, Chia‐Wei Li, Weiya Xia, et al.. (2016). EGFR Signaling Enhances Aerobic Glycolysis in Triple-Negative Breast Cancer Cells to Promote Tumor Growth and Immune Escape. Cancer Research. 76(5). 1284–1296. 203 indexed citations
15.
Zhu, Jiangjiang, Danijel Djukovic, Lingli Deng, et al.. (2015). Targeted serum metabolite profiling and sequential metabolite ratio analysis for colorectal cancer progression monitoring. Analytical and Bioanalytical Chemistry. 407(26). 7857–7863. 59 indexed citations
16.
Carroll, Patrick A., Daniel Diolaiti, Lisa McFerrin, et al.. (2015). Deregulated Myc Requires MondoA/Mlx for Metabolic Reprogramming and Tumorigenesis. Cancer Cell. 27(2). 271–285. 158 indexed citations
17.
Buas, Matthew F., Haiwei Gu, Danijel Djukovic, et al.. (2015). Identification of novel candidate plasma metabolite biomarkers for distinguishing serous ovarian carcinoma and benign serous ovarian tumors. Gynecologic Oncology. 140(1). 138–144. 61 indexed citations
18.
Dai, Dao‐Fu, Pabalu P. Karunadharma, Ying Ann Chiao, et al.. (2014). Altered proteome turnover and remodeling by short‐term caloric restriction or rapamycin rejuvenate the aging heart. Aging Cell. 13(3). 529–539. 255 indexed citations
19.
Gowda, G. A. Nagana & Danijel Djukovic. (2014). Overview of Mass Spectrometry-Based Metabolomics: Opportunities and Challenges. Methods in molecular biology. 1198. 3–12. 243 indexed citations
20.
Liu, Chao-Lien, et al.. (2014). Long‐term tolerance to factor VIII is achieved by administration of interleukin‐2/interleukin‐2 monoclonal antibody complexes and low dosages of factor VIII. Journal of Thrombosis and Haemostasis. 12(6). 921–931. 27 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026