Judit Pipis

432 total citations
18 papers, 328 citations indexed

About

Judit Pipis is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Judit Pipis has authored 18 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pathology and Forensic Medicine, 7 papers in Molecular Biology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Judit Pipis's work include Cardiac Ischemia and Reperfusion (13 papers), Nitric Oxide and Endothelin Effects (3 papers) and Anesthesia and Neurotoxicity Research (3 papers). Judit Pipis is often cited by papers focused on Cardiac Ischemia and Reperfusion (13 papers), Nitric Oxide and Endothelin Effects (3 papers) and Anesthesia and Neurotoxicity Research (3 papers). Judit Pipis collaborates with scholars based in Hungary, Germany and United Kingdom. Judit Pipis's co-authors include Péter Ferdinandy, Tamás Csont, Anikó Görbe, Gabriella F. Kocsis, Csaba Csonka, Zoltán Giricz, Veronika Fekete, Péter Bencsik, János Palóczi and Gergő Szűcs and has published in prestigious journals such as International Journal of Molecular Sciences, British Journal of Pharmacology and Molecules.

In The Last Decade

Judit Pipis

18 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
Judit Pipis Hungary 11 146 112 111 63 59 18 328
А. V. Mukhomedzyanov Russia 10 154 1.1× 127 1.1× 134 1.2× 37 0.6× 59 1.0× 61 385
Nicolaj Brejnholt Støttrup Denmark 7 193 1.3× 92 0.8× 78 0.7× 48 0.8× 115 1.9× 12 335
Daisuke Sunaga Japan 9 113 0.8× 147 1.3× 109 1.0× 44 0.7× 45 0.8× 18 353
Kirsten M. Smeele Netherlands 8 174 1.2× 187 1.7× 64 0.6× 55 0.9× 58 1.0× 9 346
Kadambari Chandra Shekar United States 12 83 0.6× 191 1.7× 95 0.9× 74 1.2× 62 1.1× 18 393
András Makkos Hungary 11 118 0.8× 171 1.5× 102 0.9× 20 0.3× 38 0.6× 22 356
Jacob Johnsen Denmark 11 208 1.4× 102 0.9× 94 0.8× 41 0.7× 113 1.9× 18 366
Nilguen Gedik Germany 5 234 1.6× 115 1.0× 158 1.4× 32 0.5× 107 1.8× 6 408
Rianne Nederlof Netherlands 13 165 1.1× 287 2.6× 127 1.1× 71 1.1× 54 0.9× 25 532
Norio Fujita Japan 6 101 0.7× 64 0.6× 175 1.6× 87 1.4× 48 0.8× 7 336

Countries citing papers authored by Judit Pipis

Since Specialization
Citations

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

Fields of papers citing papers by Judit Pipis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Judit Pipis

This figure shows the co-authorship network connecting the top 25 collaborators of Judit Pipis. A scholar is included among the top collaborators of Judit Pipis 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 Judit Pipis. Judit Pipis 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.
Pipis, Judit, András Makkos, Bence Ágg, et al.. (2024). Identification of New, Translatable ProtectomiRs against Myocardial Ischemia/Reperfusion Injury and Oxidative Stress: The Role of MMP/Biglycan Signaling Pathways. Antioxidants. 13(6). 674–674. 2 indexed citations
2.
Herwig, Melissa, Heidi Budde, Saltanat Zhazykbayeva, et al.. (2022). Ca2+/Calmodulin-Dependent Protein Kinase II and Protein Kinase G Oxidation Contributes to Impaired Sarcomeric Proteins in Hypertrophy Model. ESC Heart Failure. 9(4). 2585–2600. 6 indexed citations
3.
Makkos, András, János Palóczi, Judit Pipis, et al.. (2020). A Comorbidity Model of Myocardial Ischemia/Reperfusion Injury and Hypercholesterolemia in Rat Cardiac Myocyte Cultures. Frontiers in Physiology. 10. 1564–1564. 17 indexed citations
4.
Palóczi, János, Julianna Kobolák, István Bock, et al.. (2020). Systematic analysis of different pluripotent stem cell-derived cardiac myocytes as potential testing model for cardiocytoprotection. Vascular Pharmacology. 133-134. 106781–106781. 4 indexed citations
5.
Pipis, Judit, Imre Földesi, Andrea Siska, et al.. (2020). Cardioprotective Effect of Novel Matrix Metalloproteinase Inhibitors. International Journal of Molecular Sciences. 21(19). 6990–6990. 14 indexed citations
6.
Gáspár, Renáta, Bernadett Kiss, János Palóczi, et al.. (2020). Decorin Protects Cardiac Myocytes against Simulated Ischemia/Reperfusion Injury. Molecules. 25(15). 3426–3426. 17 indexed citations
7.
Boengler, Kerstin, Péter Bencsik, János Palóczi, et al.. (2017). Lack of Contribution of p66shc and Its Mitochondrial Translocation to Ischemia-Reperfusion Injury and Cardioprotection by Ischemic Preconditioning. Frontiers in Physiology. 8. 733–733. 19 indexed citations
8.
Schreckenberg, Rolf, Péter Bencsik, Martin Weber, et al.. (2017). Adverse Effects on β‐Adrenergic Receptor Coupling: Ischemic Postconditioning Failed to Preserve Long‐Term Cardiac Function. Journal of the American Heart Association. 6(12). 7 indexed citations
9.
Csonka, Csaba, János Palóczi, Judit Pipis, et al.. (2016). Novel, selective EPO receptor ligands lacking erythropoietic activity reduce infarct size in acute myocardial infarction in rats. Pharmacological Research. 113(Pt A). 62–70. 17 indexed citations
10.
Sárközy, Márta, Gergő Szűcs, Veronika Fekete, et al.. (2016). Transcriptomic alterations in the heart of non-obese type 2 diabetic Goto-Kakizaki rats. Cardiovascular Diabetology. 15(1). 110–110. 26 indexed citations
11.
Bencsik, Péter, János Palóczi, Gabriella F. Kocsis, et al.. (2014). Moderate inhibition of myocardial matrix metalloproteinase-2 by ilomastat is cardioprotective. Pharmacological Research. 80. 36–42. 28 indexed citations
12.
Sárközy, Márta, Ágnes Zvara, Nóra Gyémánt, et al.. (2013). Metabolic syndrome influences cardiac gene expression pattern at the transcript level in male ZDF rats. Cardiovascular Diabetology. 12(1). 16–16. 49 indexed citations
13.
Monostori, Péter, Gabriella F. Kocsis, Péter Bencsik, et al.. (2012). Different administration schedules of darbepoetin alfa affect oxidized and reduced glutathione levels to a similar extent in 5/6 nephrectomized rats. Clinical and Experimental Nephrology. 17(4). 569–574. 1 indexed citations
14.
Bencsik, Péter, Krisztina Kupai, Zoltán Giricz, et al.. (2010). Role of iNOS and peroxynitrite–matrix metalloproteinase-2 signaling in myocardial late preconditioning in rats. American Journal of Physiology-Heart and Circulatory Physiology. 299(2). H512–H518. 30 indexed citations
15.
16.
Kocsis, Gabriella F., Judit Pipis, Veronika Fekete, et al.. (2008). Lovastatin interferes with the infarct size-limiting effect of ischemic preconditioning and postconditioning in rat hearts. American Journal of Physiology-Heart and Circulatory Physiology. 294(5). H2406–H2409. 58 indexed citations
17.
Pipis, Judit, et al.. (2006). Acute lovastatin treatment blocks the infarct size limiting effect of preconditioning in isolated rat hearts. Journal of Molecular and Cellular Cardiology. 40(6). 977–977. 1 indexed citations
18.
Giricz, Zoltán, et al.. (2006). cGMP-dependent protein kinase mediates protection against ischaemia–reperfusion injury. Journal of Molecular and Cellular Cardiology. 40(6). 961–961. 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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