Péter Szelényi

624 total citations
14 papers, 467 citations indexed

About

Péter Szelényi is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Biochemistry. According to data from OpenAlex, Péter Szelényi has authored 14 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Biochemistry. Recurrent topics in Péter Szelényi's work include Lipid metabolism and biosynthesis (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Péter Szelényi is often cited by papers focused on Lipid metabolism and biosynthesis (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Péter Szelényi collaborates with scholars based in Hungary, Switzerland and Italy. Péter Szelényi's co-authors include Miklós Csala, Gábor Bánhegyi, Éva Kereszturi, Veronika Zámbó, Laura Simon‐Szabó, József Mandl, Balázs Legeza, Péter Száraz, Beáta Lizák and Tamás Kardon and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and FEBS Letters.

In The Last Decade

Péter Szelényi

14 papers receiving 464 citations

Peers

Péter Szelényi
Comparison fields: 5 of 79
  • Molecular Biology 183
  • Epidemiology 121
  • Physiology 95
  • Endocrinology, Diabetes and Metabolism 87
  • Biochemistry 66
Replace Manar Aoun with:
Manar Aoun France
Naomi Yasui Japan
Balázs Legeza Switzerland
Desmond Jay United States
Xingyun Wu China
Amy K. Hauck United States
Azam Moslehi Iran
Chandran Janani India
Kahori Egawa Japan
Jale Çoban Türkiye
Manar Aoun France View profile →
Citations per field, relative to Péter Szelényi
Péter Szelényi · 1×
Citations per year, relative to Péter Szelényi
Péter Szelényi · 1×

Countries citing papers authored by Péter Szelényi

Since Specialization
Citations

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

Fields of papers citing papers by Péter Szelényi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Péter Szelényi

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 3
2 6
3 13
4 10
5 3
6 20
7 9
8 3
9 199
10 148
11 9
12 8
13 34
14 2

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026