Julia Fedorova

419 total citations
13 papers, 324 citations indexed

About

Julia Fedorova is a scholar working on Molecular Biology, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, Julia Fedorova has authored 13 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Physiology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Julia Fedorova's work include Mitochondrial Function and Pathology (5 papers), Adipose Tissue and Metabolism (3 papers) and Cardiac Ischemia and Reperfusion (3 papers). Julia Fedorova is often cited by papers focused on Mitochondrial Function and Pathology (5 papers), Adipose Tissue and Metabolism (3 papers) and Cardiac Ischemia and Reperfusion (3 papers). Julia Fedorova collaborates with scholars based in United States, China and Canada. Julia Fedorova's co-authors include Di Ren, Ji Li, Zhibin He, Jingwen Zhang, Xiaodong Sun, Fang Han, Ying Han, Weiju Sun, Nanhu Quan and Melissa Li and has published in prestigious journals such as Circulation, Circulation Research and Aging Cell.

In The Last Decade

Julia Fedorova

11 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Fedorova United States 9 186 76 71 67 47 13 324
Gui-Ping Luo China 6 153 0.8× 65 0.9× 53 0.7× 109 1.6× 52 1.1× 6 334
Songping Yu China 12 182 1.0× 55 0.7× 55 0.8× 57 0.9× 27 0.6× 25 398
Jichao Wu China 9 154 0.8× 53 0.7× 46 0.6× 45 0.7× 31 0.7× 15 362
Fuqin Tang China 11 208 1.1× 68 0.9× 60 0.8× 114 1.7× 82 1.7× 22 424
Sangeeta Maity India 6 119 0.6× 88 1.2× 67 0.9× 57 0.9× 58 1.2× 7 304
Rokhsana Mortuza Canada 6 162 0.9× 101 1.3× 90 1.3× 58 0.9× 34 0.7× 9 377
Christoph Koentges Germany 9 201 1.1× 152 2.0× 134 1.9× 84 1.3× 93 2.0× 15 403
Chunchun Wei China 9 120 0.6× 52 0.7× 52 0.7× 72 1.1× 25 0.5× 24 327
John A. Stupinski United States 4 206 1.1× 158 2.1× 148 2.1× 85 1.3× 108 2.3× 10 472
Xing Chang China 10 254 1.4× 20 0.3× 88 1.2× 73 1.1× 55 1.2× 20 412

Countries citing papers authored by Julia Fedorova

Since Specialization
Citations

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

Fields of papers citing papers by Julia Fedorova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Fedorova

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

All Works

13 of 13 papers shown
1.
Soares, Danny J., Julia Fedorova, Yu Zhang, et al.. (2025). Arterioembolic Characteristics of Differentially Diluted CaHA-CMC Gels Within An Artificial Macrovascular Perfusion Model. Aesthetic Surgery Journal. 45(6). 645–653. 1 indexed citations
2.
3.
Ren, Di, Julia Fedorova, Hao Wang, et al.. (2023). Cardiomyocyte Pdk4 response is associated with metabolic maladaptation in aging. Aging Cell. 22(4). e13800–e13800. 14 indexed citations
4.
Fedorova, Julia, et al.. (2022). The Cardiac Dysfunction Caused by Metabolic Alterations in Alzheimer's Disease. Frontiers in Cardiovascular Medicine. 9. 850538–850538. 15 indexed citations
5.
Fedorova, Julia, et al.. (2022). Targeting on Nrf2/Sesn2 Signaling to Rescue Cardiac Dysfunction during High-Fat Diet-Induced Obesity. Cells. 11(16). 2614–2614. 8 indexed citations
6.
Ren, Di, Julia Fedorova, John H. Griffin, et al.. (2021). Activated Protein C Strengthens Cardiac Tolerance to Ischemic Insults in Aging. Circulation Research. 130(2). 252–272. 22 indexed citations
7.
Zhang, Jingwen, Zhibin He, Julia Fedorova, et al.. (2021). Alterations in mitochondrial dynamics with age‐related Sirtuin1/Sirtuin3 deficiency impair cardiomyocyte contractility. Aging Cell. 20(7). e13419–e13419. 54 indexed citations
8.
9.
Ren, Di, Zhibin He, Julia Fedorova, et al.. (2020). Sestrin2 maintains OXPHOS integrity to modulate cardiac substrate metabolism during ischemia and reperfusion. Redox Biology. 38. 101824–101824. 26 indexed citations
10.
Han, Ying, Weiju Sun, Di Ren, et al.. (2020). SIRT1 agonism modulates cardiac NLRP3 inflammasome through pyruvate dehydrogenase during ischemia and reperfusion. Redox Biology. 34. 101538–101538. 106 indexed citations
11.
Ren, Di, Nanhu Quan, Julia Fedorova, et al.. (2020). Sestrin2 modulates cardiac inflammatory response through maintaining redox homeostasis during ischemia and reperfusion. Redox Biology. 34. 101556–101556. 36 indexed citations
12.
Zhang, Jingwen, Di Ren, Julia Fedorova, Zhibin He, & Ji Li. (2020). SIRT1/SIRT3 Modulates Redox Homeostasis during Ischemia/Reperfusion in the Aging Heart. Antioxidants. 9(9). 858–858. 41 indexed citations
13.

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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