Edit Szabó

538 citations
32 papers · 408 · h-index 13

Impact in

Papers in

    • Drug Transport and Resistance Mechanisms 6
    • Metabolism, Diabetes, and Cancer 2
    • RNA Interference and Gene Delivery 2

Edit Szabó

30 papers receiving 402 citations

Peers

Edit Szabó
Comparison fields: 5 of 74
  • Endocrinology 20
  • Oncology 97
  • Nephrology 15
  • Cancer Research 31
  • Molecular Biology 148
Replace Norah A. Alturki with:
Norah A. Alturki Saudi Arabia
Ruxian Lin United States
Hyeon‐Jun Shin South Korea
Jun Young Jang South Korea
J.-F. Brun France
Bixiao Zhao United States
Kou Motani Japan
Li Zha United States
Rüdiger Hess Germany
An He China
Edit Szabó relative to Norah A. Alturki Saudi Arabia Norah A. Alturki's profile →
Citations per field
00.5×1.5×2.5×
Norah A. Alturki · 1×
Citations per year

Countries citing papers authored by Edit Szabó

Since Specialization
Citations

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

Fields of papers citing papers by Edit Szabó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Edit Szabó, 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 Edit Szabó Line = papers co-authored together Edit Szabó links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200849
2 201341
3 202139
4
Activation of caspase-3 protease during the process of ursolic acid and its derivative-induced apoptosis.
200228
5 201526
6 201722
7 201521
8 201520
9 201819
10 202118
11 201217
12 202015
13 200813
14 201811
15 202111
16 20179
17
An assay for selecting high risk population for gastric cancer by studying environmental factors.
19767
18 20217
19 20226
20 20086

About Edit Szabó

Edit Szabó is a scholar working on Oncology, Molecular Biology, Epidemiology, Physiology and Plant Science, having authored 32 papers that have together received 408 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (6 papers), Erythrocyte Function and Pathophysiology (5 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Plant-Microbe Interactions and Immunity (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Plant Virus Research Studies (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Endocrinology (20 citations), Oncology (97 citations), Nephrology (15 citations), Cancer Research (31 citations) and Molecular Biology (148 citations). Edit Szabó has collaborated with scholars based in Hungary, Japan and Austria. Frequent co-authors include György Várady, Balázs Sarkadi, Á. Németh, Judit Cserepes, Gÿorgý Kéri, Lóránt Lakatos, Ágnes Telbisz, Éva Bakos, Csilla Özvegy‐Laczka and Tamás Hegedűs. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences, Scientific Reports, Journal of Medicinal Chemistry and Pharmaceutics.

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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