Danielle Janosevic

553 total citations
18 papers, 326 citations indexed

About

Danielle Janosevic is a scholar working on Molecular Biology, Nephrology and Surgery. According to data from OpenAlex, Danielle Janosevic has authored 18 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Nephrology and 4 papers in Surgery. Recurrent topics in Danielle Janosevic's work include Chronic Kidney Disease and Diabetes (5 papers), Cardiovascular Function and Risk Factors (4 papers) and Acute Kidney Injury Research (4 papers). Danielle Janosevic is often cited by papers focused on Chronic Kidney Disease and Diabetes (5 papers), Cardiovascular Function and Risk Factors (4 papers) and Acute Kidney Injury Research (4 papers). Danielle Janosevic collaborates with scholars based in United States, Japan and France. Danielle Janosevic's co-authors include Pierre C. Dagher, Takashi Hato, Tarek M. El‐Achkar, Seth Winfree, Ying‐Hua Cheng, Michael T. Eadon, Ricardo Melo Ferreira, Xiaoling Xuei, Kimberly S. Collins and Bernhard Maier and has published in prestigious journals such as Kidney International, Journal of the American Society of Nephrology and American Journal Of Pathology.

In The Last Decade

Danielle Janosevic

15 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Janosevic United States 8 177 117 62 53 27 18 326
Jered Myslinski United States 8 159 0.9× 136 1.2× 61 1.0× 44 0.8× 24 0.9× 11 336
Hirosuke Nakata Japan 4 101 0.6× 174 1.5× 75 1.2× 38 0.7× 50 1.9× 8 339
Andrés Carmona Spain 9 172 1.0× 128 1.1× 76 1.2× 29 0.5× 18 0.7× 18 321
Kunmei Lai China 8 244 1.4× 94 0.8× 106 1.7× 56 1.1× 31 1.1× 12 345
Kari Koppitch United States 7 205 1.2× 168 1.4× 29 0.5× 46 0.9× 45 1.7× 13 366
Nóra Ledó Hungary 8 90 0.5× 99 0.8× 46 0.7× 57 1.1× 22 0.8× 15 255
Tomomi Aizawa Japan 11 84 0.5× 89 0.8× 160 2.6× 11 0.2× 18 0.7× 37 324
Hideki Takano Japan 7 82 0.5× 152 1.3× 33 0.5× 24 0.5× 35 1.3× 21 338
Yinshuang Li China 6 277 1.6× 117 1.0× 130 2.1× 46 0.9× 27 1.0× 9 374

Countries citing papers authored by Danielle Janosevic

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Janosevic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Janosevic

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Janosevic. A scholar is included among the top collaborators of Danielle Janosevic 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 Danielle Janosevic. Danielle Janosevic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Agoro, Rafiou, Jered Myslinski, Danielle Janosevic, et al.. (2025). Dynamic single cell transcriptomics defines kidney FGF23/KL bioactivity and novel segment-specific inflammatory targets. Kidney International. 107(4). 687–699. 1 indexed citations
2.
Janosevic, Danielle, et al.. (2024). The Kidney Precision Medicine Project and Single-Cell Biology of the Injured Proximal Tubule. American Journal Of Pathology. 195(1). 7–22. 1 indexed citations
3.
Janosevic, Danielle, Ricardo Melo Ferreira, Ying‐Hua Cheng, et al.. (2024). miRNA and mRNA Signatures in Human Acute Kidney Injury Tissue. American Journal Of Pathology. 195(1). 102–114. 2 indexed citations
4.
Yadav, Shiv Pratap Singh, Bernhard Maier, Amy Zollman, et al.. (2022). Translation Rescue by Targeting Ppp1r15a through Its Upstream Open Reading Frame in Sepsis-Induced Acute Kidney Injury in a Murine Model. Journal of the American Society of Nephrology. 34(2). 220–240. 14 indexed citations
5.
Collins, Kimberly S., Michael T. Eadon, Ying‐Hua Cheng, et al.. (2022). Alterations in Protein Translation and Carboxylic Acid Catabolic Processes in Diabetic Kidney Disease. Cells. 11(7). 1166–1166. 8 indexed citations
6.
Janosevic, Danielle, et al.. (2021). Renal Failure due to Bilateral Renal Artery Stenosis. Journal of the American Society of Nephrology. 32(10S). 150–150.
7.
Janosevic, Danielle, Jered Myslinski, Thomas McCarthy, et al.. (2021). The orchestrated cellular and molecular responses of the kidney to endotoxin define a precise sepsis timeline. eLife. 10. 93 indexed citations
8.
Ferreira, Ricardo Melo, Angela R. Sabo, Seth Winfree, et al.. (2021). Integration of spatial and single-cell transcriptomics localizes epithelial cell–immune cross-talk in kidney injury. JCI Insight. 6(12). 109 indexed citations
9.
Ni, Pu, Erica L. Clinkenbeard, Megan L. Noonan, et al.. (2020). Targeting fibroblast growth factor 23-responsive pathways uncovers controlling genes in kidney mineral metabolism. Kidney International. 99(3). 598–608. 7 indexed citations
10.
Collins, Kimberly S., Ying‐Hua Cheng, Ricardo Melo Ferreira, et al.. (2020). Interindividual Variability in Lymphocyte Stimulation and Transcriptomic Response Predicts Mycophenolic Acid Sensitivity in Healthy Volunteers. Clinical and Translational Science. 13(6). 1137–1149. 2 indexed citations
11.
Janosevic, Danielle, Aileen X. Wang, & Jay B. Wish. (2018). Difficult Patient Behavior in Dialysis Facilities. Blood Purification. 47(1-3). 254–258. 4 indexed citations
12.
Janosevic, Danielle, et al.. (2018). ZO-1 protein is required for hydrogen peroxide to increase MDCK cell paracellular permeability in an ERK 1/2-dependent manner. American Journal of Physiology-Cell Physiology. 315(3). C422–C431. 11 indexed citations
13.
Micanovic, Radmila, Shehnaz Khan, Danielle Janosevic, et al.. (2017). Tamm-Horsfall Protein Regulates Mononuclear Phagocytes in the Kidney. Journal of the American Society of Nephrology. 29(3). 841–856. 60 indexed citations
14.
Janosevic, Danielle, et al.. (2015). Occludin Content Modulates Hydrogen Peroxide-Induced Increase in Renal Epithelial Paracellular Permeability. Journal of Cellular Biochemistry. 117(3). 769–779. 12 indexed citations
15.
Janosevic, Danielle, et al.. (2014). Myocardial contractility indices based on strain imaging. Journal of Cardiovascular Magnetic Resonance. 16. P333–P333.
16.
Reichek, Nathaniel, et al.. (2014). Afterload quantitation for evaluation of myocardial strain. Journal of Cardiovascular Magnetic Resonance. 16. P320–P320.
17.
Janosevic, Danielle, et al.. (2013). Afterload excess and myocardial performance. Journal of Cardiovascular Magnetic Resonance. 15. P220–P220. 1 indexed citations
18.
Janosevic, Danielle, et al.. (2011). Left ventricular concentric remodeling in normal aging is associated with decline of diastolic function assessed by multi-modality imaging. Journal of Cardiovascular Magnetic Resonance. 13(S1). 1 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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