Péter Szakály

651 total citations
36 papers, 517 citations indexed

About

Péter Szakály is a scholar working on Surgery, Transplantation and Cellular and Molecular Neuroscience. According to data from OpenAlex, Péter Szakály has authored 36 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 14 papers in Transplantation and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Péter Szakály's work include Renal Transplantation Outcomes and Treatments (14 papers), Neuropeptides and Animal Physiology (13 papers) and Receptor Mechanisms and Signaling (10 papers). Péter Szakály is often cited by papers focused on Renal Transplantation Outcomes and Treatments (14 papers), Neuropeptides and Animal Physiology (13 papers) and Receptor Mechanisms and Signaling (10 papers). Péter Szakály collaborates with scholars based in Hungary, Japan and United States. Péter Szakály's co-authors include Dóra Reglődi, Andrea Tamás, P. Kiss, Gabriella Horváth, Andrea Lubics, Bóglárka Rácz, Réka Brubel, Andrea Ferencz, Krisztina Kovács and Zsuzsanna Helyes and has published in prestigious journals such as Transplantation, Neuroscience Letters and Journal of Clinical Medicine.

In The Last Decade

Péter Szakály

34 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Péter Szakály Hungary 13 311 209 142 80 57 36 517
Patrick Y. Wong Hong Kong 13 65 0.2× 121 0.6× 66 0.5× 52 0.7× 40 0.7× 21 486
F E Bauer Germany 13 593 1.9× 371 1.8× 328 2.3× 99 1.2× 33 0.6× 24 859
Makoto Takenaga Japan 11 556 1.8× 454 2.2× 172 1.2× 127 1.6× 43 0.8× 23 796
Poul Staun‐Olsen Denmark 15 229 0.7× 227 1.1× 105 0.7× 112 1.4× 37 0.6× 23 525
Barbara Villaccio Italy 10 220 0.7× 115 0.6× 40 0.3× 52 0.7× 89 1.6× 14 385
Dawood Khan United Kingdom 13 104 0.3× 83 0.4× 265 1.9× 192 2.4× 37 0.6× 42 459
D. G. Szabó Hungary 10 114 0.4× 88 0.4× 37 0.3× 57 0.7× 28 0.5× 30 315
C. Elena Cervantes United States 8 125 0.4× 81 0.4× 48 0.3× 10 0.1× 13 0.2× 30 286
Chandrasekhar Thota United States 10 78 0.3× 70 0.3× 47 0.3× 25 0.3× 22 0.4× 12 449
G Pontonnier France 16 116 0.4× 99 0.5× 86 0.6× 47 0.6× 53 0.9× 47 629

Countries citing papers authored by Péter Szakály

Since Specialization
Citations

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

Fields of papers citing papers by Péter Szakály

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Péter Szakály

This figure shows the co-authorship network connecting the top 25 collaborators of Péter Szakály. A scholar is included among the top collaborators of Péter Szakály 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 Péter Szakály. Péter Szakály 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.
Zoltán, Sándor, et al.. (2024). Interpretation of LDH Values after Kidney Transplantation. Journal of Clinical Medicine. 13(2). 485–485. 2 indexed citations
2.
Szakály, Péter, et al.. (2023). Optimal Renal Artery-Aorta Angulation Revealed by Flow Simulation. Kidney & Blood Pressure Research. 48(1). 249–259. 3 indexed citations
3.
Ablonczy, László, Laśzló Kob́ori, Balázs Nemes, et al.. (2021). The First 5 Years of the Newest Eurotransplant Member State: Hungarian Results of International Organ Exchange From 2014 to 2018. Transplantation Proceedings. 53(5). 1394–1401. 2 indexed citations
4.
5.
Schönfeld, B., et al.. (2019). Oral Health Status of Kidney Transplant Patients. Transplantation Proceedings. 51(4). 1248–1250. 7 indexed citations
6.
Juhász, Tamás, Krisztina Kovács, Péter Degrell, et al.. (2018). Protective Effect of PACAP on Ischemia/Reperfusion-Induced Kidney Injury of Male and Female Rats: Gender Differences. Journal of Molecular Neuroscience. 68(3). 408–419. 16 indexed citations
7.
Varga, Angelika, Krisztina Kovács, Gábor Jancsó, et al.. (2015). Ischemia/reperfusion-induced Kidney Injury in Heterozygous PACAP-deficient Mice. Transplantation Proceedings. 47(7). 2210–2215. 18 indexed citations
8.
Kiss, P., et al.. (2014). The effects of pituitary adenylate cyclase activating polypeptide in renal ischemia/reperfusion. Acta Biologica Hungarica. 65(4). 369–378. 10 indexed citations
9.
Reglődi, Dóra, P. Kiss, Krisztina Szabadfi, et al.. (2012). PACAP is an Endogenous Protective Factor—Insights from PACAP-Deficient Mice. Journal of Molecular Neuroscience. 48(3). 482–492. 98 indexed citations
10.
Szakály, Péter, et al.. (2011). Changes of Progesterone-Induced Blocking Factor in Patients After Kidney Transplantation. Transplantation Proceedings. 43(10). 3694–3696. 1 indexed citations
11.
Szakály, Péter, Krisztina Kovács, Bóglárka Rácz, et al.. (2011). Mice deficient in pituitary adenylate cyclase activating polypeptide (PACAP) show increased susceptibility to in vivo renal ischemia/reperfusion injury. Neuropeptides. 45(2). 113–121. 33 indexed citations
12.
Reglődi, Dóra, P. Kiss, Gabriella Horváth, et al.. (2011). Effects of pituitary adenylate cyclase activating polypeptide in the urinary system, with special emphasis on its protective effects in the kidney. Neuropeptides. 46(2). 61–70. 33 indexed citations
13.
Szakály, Péter, Gabriella Horváth, P. Kiss, et al.. (2010). Changes in Pituitary Adenylate Cyclase-Activating Polypeptide Following Renal Ischemia-Reperfusion in Rats. Transplantation Proceedings. 42(6). 2283–2286. 9 indexed citations
14.
Szakály, Péter, et al.. (2010). Changes in Oxidative Stress in Patients Screened for Skin Cancer After Solid-Organ Transplantation. Transplantation Proceedings. 42(6). 2336–2338. 4 indexed citations
15.
Horváth, Gabriella, Réka Brubel, Krisztina Kovács, et al.. (2010). Effects of PACAP on Oxidative Stress-Induced Cell Death in Rat Kidney and Human Hepatocyte Cells. Journal of Molecular Neuroscience. 43(1). 67–75. 33 indexed citations
16.
Horváth, Gabriella, Bóglárka Rácz, Dóra Reglődi, et al.. (2010). Effects of PACAP on Mitochondrial Apoptotic Pathways and Cytokine Expression in Rats Subjected to Renal Ischemia/Reperfusion. Journal of Molecular Neuroscience. 42(3). 411–418. 23 indexed citations
17.
Szakály, Péter, et al.. (2010). Incidence of Nonmelanoma Skin Cancer After Human Organ Transplantation: Single-Center Experience in Hungary. Transplantation Proceedings. 42(6). 2333–2335. 9 indexed citations
18.
Szakály, Péter, P. Kiss, Andrea Lubics, et al.. (2008). Effects of PACAP on Survival and Renal Morphology in Rats Subjected to Renal Ischemia/Reperfusion. Journal of Molecular Neuroscience. 36(1-3). 89–96. 30 indexed citations
19.
Tedesco‐Silva, Hélio, Péter Szakály, Ahmed Shoker, et al.. (2007). FTY720 Versus Mycophenolate Mofetil in De Novo Renal Transplantation: Six-Month Results of a Double-Blind Study. Transplantation. 84(7). 885–892. 52 indexed citations
20.
Sułowicz, Władysław, Petr Bachleda, Andrzej Rydzewski, et al.. (2006). Discontinuation of mycophenolate mofetil from a tacrolimus-based triple regimen 2 months after renal transplantation: a comparative randomized multicentre study. Transplant International. 20(3). 230–237. 4 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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