Péter Szakály

48 total papers · 650 total citations
36 papers, 516 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 516 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, Zsuzsanna Helyes and Hitoshi Hashimoto 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 512 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Péter Szakály	311	209	141	80	57	36	516
J. Gordon	109 0.4×	211 1.0×	125 0.9×	88 1.1×	21 0.4×	31	580
A Iguchi	91 0.3×	110 0.5×	84 0.6×	37 0.5×	11 0.2×	36	455
Patrick Y. Wong	65 0.2×	121 0.6×	66 0.5×	52 0.7×	40 0.7×	21	486
N Yanaihara	180 0.6×	133 0.6×	133 0.9×	103 1.3×	67 1.2×	34	462
Yat-Ching Tong	39 0.1×	93 0.4×	133 0.9×	82 1.0×	14 0.2×	36	596
Poul Staun‐Olsen	229 0.7×	227 1.1×	105 0.7×	112 1.4×	37 0.6×	23	525
Brett K. Levay‐Young	38 0.1×	180 0.9×	146 1.0×	160 2.0×	9 0.2×	28	573
Loren H. Cohen	32 0.1×	124 0.6×	103 0.7×	33 0.4×	16 0.3×	23	447
Fernando R. Ibarra	48 0.2×	334 1.6×	38 0.3×	142 1.8×	19 0.3×	37	576
Jose Martinez	202 0.6×	114 0.5×	63 0.4×	84 1.1×	32 0.6×	32	563

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

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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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