Péter Száraz

598 citations
25 papers · 484 · h-index 10

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
  • Biochemistry top 10%
    • Antioxidant Activity and Oxidative Stress

Papers in

    • Tissue Engineering and Regenerative Medicine 9
    • Mesenchymal stem cell research 10

Péter Száraz

24 papers receiving 479 citations

Peers

Péter Száraz
Comparison fields: 5 of 87
  • Genetics 80
  • Biochemistry 43
  • Reproductive Medicine 33
  • Biochemistry 29
  • Biological Psychiatry 7
Replace Ying Zou with:
Ying Zou China
Wanling Wu China
James A. Holland United States
Riham S. Said Egypt
Won Gu Jang South Korea
Brian K. Park United States
Yosuke Okuno Japan
Naser Safaie Iran
Ruifang Zheng China
Tanya Reid United States
Péter Száraz relative to Ying Zou China Ying Zou's profile →
Citations per field
00.5×3.9×
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Citations per year

Countries citing papers authored by Péter Száraz

Since Specialization
Citations

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

Fields of papers citing papers by Péter Száraz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Péter Száraz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Péter Száraz Line = papers co-authored together Péter Száraz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015203
2 201751
3 201335
4 202327
5 201626
6 202124
7 200924
8 201720
9 202111
10 20199
11 20178
12 20137
13 20197
14 20177
15 20205
16 20144
17 20233
18 20113
19 20193
20 20172

About Péter Száraz

Péter Száraz is a scholar working on Surgery, Genetics, Molecular Biology, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 484 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (10 papers), Tissue Engineering and Regenerative Medicine (9 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Extracellular vesicles in disease (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Congenital heart defects research (2 papers), Cardiovascular Disease and Adiposity (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). The work is most often cited by research in Genetics (80 citations), Biochemistry (43 citations), Reproductive Medicine (33 citations), Biochemistry (29 citations) and Biological Psychiatry (7 citations). Péter Száraz has collaborated with scholars based in Canada, Hungary and United States. Frequent co-authors include Clifford Librach, Gábor Bánhegyi, József Mandl, Miklós Csala, Éva Margittai, Beáta Lizák, Tamás Kardon, Balázs Legeza, Ferenc Puskás and Péter Szelényi. Their work appears in journals such as Journal of Visualized Experiments, Cytotherapy, Cancer Letters, Archives of Biochemistry and Biophysics and Cellular & Molecular Biology Letters.

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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