Ágnes Lipécz

1.9k total citations
37 papers, 1.4k citations indexed

About

Ágnes Lipécz is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Neurology. According to data from OpenAlex, Ágnes Lipécz has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Cardiology and Cardiovascular Medicine and 9 papers in Neurology. Recurrent topics in Ágnes Lipécz's work include Cardiovascular Health and Disease Prevention (8 papers), Glaucoma and retinal disorders (7 papers) and Ophthalmology and Visual Impairment Studies (5 papers). Ágnes Lipécz is often cited by papers focused on Cardiovascular Health and Disease Prevention (8 papers), Glaucoma and retinal disorders (7 papers) and Ophthalmology and Visual Impairment Studies (5 papers). Ágnes Lipécz collaborates with scholars based in Hungary, United States and United Kingdom. Ágnes Lipécz's co-authors include Tamás Csípő, Andriy Yabluchanskiy, Anna Csiszár, Zoltán Ungvári, Stefano Tarantini, Tamás Kiss, Priya Balasubramanian, Ádám Nyúl‐Tóth, Farzaneh A. Sorond and Eszter Farkas and has published in prestigious journals such as PLoS ONE, Scientific Reports and The FASEB Journal.

In The Last Decade

Ágnes Lipécz

35 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ágnes Lipécz Hungary 20 326 278 269 248 205 37 1.4k
G D’Andrea Italy 31 339 1.0× 628 2.3× 400 1.5× 252 1.0× 40 0.2× 154 3.1k
Gábor Fülöp Hungary 14 110 0.3× 248 0.9× 258 1.0× 225 0.9× 33 0.2× 32 989
Katarzyna Konieczka Switzerland 19 479 1.5× 140 0.5× 179 0.7× 313 1.3× 891 4.3× 41 1.4k
Dieu‐Trang Fuchs United States 19 345 1.1× 609 2.2× 456 1.7× 387 1.6× 387 1.9× 34 1.4k
Vickie Wong United States 21 242 0.7× 274 1.0× 124 0.5× 395 1.6× 459 2.2× 102 1.4k
Masayuki Fujioka Japan 26 193 0.6× 191 0.7× 544 2.0× 392 1.6× 25 0.1× 75 2.5k
Nils Dahlgren Sweden 17 162 0.5× 265 1.0× 293 1.1× 305 1.2× 37 0.2× 28 2.2k
Nikan H. Khatibi United States 23 82 0.3× 125 0.4× 238 0.9× 544 2.2× 129 0.6× 35 1.5k
Chang-Ming Chern Taiwan 16 142 0.4× 60 0.2× 228 0.8× 88 0.4× 34 0.2× 25 830
Serkan Özben Türkiye 12 94 0.3× 259 0.9× 124 0.5× 99 0.4× 40 0.2× 36 697

Countries citing papers authored by Ágnes Lipécz

Since Specialization
Citations

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

Fields of papers citing papers by Ágnes Lipécz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ágnes Lipécz

This figure shows the co-authorship network connecting the top 25 collaborators of Ágnes Lipécz. A scholar is included among the top collaborators of Ágnes Lipécz 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 Ágnes Lipécz. Ágnes Lipécz 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.
Ungvari, Anna, Rafał Gulej, Roland Patai, et al.. (2025). Age-Related Alterations of Cerebral Autoregulation. Life. 15(11). 1669–1669.
2.
Fekete, Mónika, Dávid Major, Vince Fazekas‐Pongor, et al.. (2025). Mediterranean Diet, Polyphenols, and Neuroprotection: Mechanistic Insights into Resveratrol and Oleuropein. Nutrients. 17(24). 3929–3929.
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Owens, Cameron D., Péter Mukli, Tamás Csípő, et al.. (2022). Microvascular dysfunction and neurovascular uncoupling are exacerbated in peripheral artery disease, increasing the risk of cognitive decline in older adults. American Journal of Physiology-Heart and Circulatory Physiology. 322(6). H924–H935. 24 indexed citations
5.
Mukli, Péter, Dee Wu, Tamás Csípő, et al.. (2022). Urinary Biomarkers of Oxidative Stress in Aging: Implications for Prediction of Accelerated Biological Age in Prospective Cohort Studies. Oxidative Medicine and Cellular Longevity. 2022(1). 6110226–6110226. 7 indexed citations
6.
Mukli, Péter, Cameron D. Owens, Tamás Csípő, et al.. (2022). Gait variability predicts cognitive impairment in older adults with subclinical cerebral small vessel disease. Frontiers in Aging Neuroscience. 14. 1052451–1052451. 17 indexed citations
7.
Mukli, Péter, Tamás Csípő, Ágnes Lipécz, et al.. (2021). Sleep deprivation alters task‐related changes in functional connectivity of the frontal cortex: A near‐infrared spectroscopy study. Brain and Behavior. 11(8). e02135–e02135. 24 indexed citations
8.
Csípő, Tamás, Ágnes Lipécz, Cameron D. Owens, et al.. (2021). Sleep deprivation impairs cognitive performance, alters task-associated cerebral blood flow and decreases cortical neurovascular coupling-related hemodynamic responses. Scientific Reports. 11(1). 20994–20994. 45 indexed citations
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Csípő, Tamás, Ágnes Lipécz, Péter Mukli, et al.. (2021). Increased cognitive workload evokes greater neurovascular coupling responses in healthy young adults. PLoS ONE. 16(5). e0250043–e0250043. 47 indexed citations
11.
Czakó, Cecília, Tibor Kovács, Zoltán Ungvári, et al.. (2020). Retinal biomarkers for Alzheimer’s disease and vascular cognitive impairment and dementia (VCID): implication for early diagnosis and prognosis. GeroScience. 42(6). 1499–1525. 85 indexed citations
12.
Yabluchanskiy, Andriy, Stefano Tarantini, Priya Balasubramanian, et al.. (2020). Pharmacological or genetic depletion of senescent astrocytes prevents whole brain irradiation–induced impairment of neurovascular coupling responses protecting cognitive function in mice. GeroScience. 42(2). 409–428. 84 indexed citations
13.
Csípő, Tamás, Péter Mukli, Ágnes Lipécz, et al.. (2019). Assessment of age-related decline of neurovascular coupling responses by functional near-infrared spectroscopy (fNIRS) in humans. GeroScience. 41(5). 495–509. 82 indexed citations
14.
Ungvári, Zoltán, Stefano Tarantini, Ádám Nyúl‐Tóth, et al.. (2019). Nrf2 dysfunction and impaired cellular resilience to oxidative stressors in the aged vasculature: from increased cellular senescence to the pathogenesis of age-related vascular diseases. GeroScience. 41(6). 727–738. 106 indexed citations
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Csípő, Tamás, Ágnes Lipécz, Gábor Fülöp, et al.. (2019). Age-related decline in peripheral vascular health predicts cognitive impairment. GeroScience. 41(2). 125–136. 68 indexed citations
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Csípő, Tamás, Gábor Fülöp, Ágnes Lipécz, et al.. (2018). Short-term weight loss reverses obesity-induced microvascular endothelial dysfunction. GeroScience. 40(3). 337–346. 40 indexed citations
20.
Lipécz, Ágnes, Alexis Tsorbatzoglou, Ziad Hassan, et al.. (2016). Scheimpflug Image-Based Changes in Anterior Segment Parameters during Accommodation Induced by Short-Term Reading. European Journal of Ophthalmology. 27(3). 301–307. 2 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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