Beáta Soltész

772 citations
31 papers · 594 indexed · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • Immunodeficiency and Autoimmune Disorders

Papers in

    • MicroRNA in disease regulation 11
    • Cancer-related molecular mechanisms research 7
    • Cancer Genomics and Diagnostics 4

Beáta Soltész

30 papers receiving 586 citations

Peers

Beáta Soltész
Comparison fields: 5 of 75
  • Cancer Research 316
  • Immunology 122
  • Molecular Biology 370
  • Reproductive Medicine 28
  • Transplantation 7
Replace Yao Xue with:
Yao Xue China
Jéssica Rodrigues Plaça Brazil
Tara L. Sander United States
Anne Badrichani United States
Harekrushna Panda India
Chenkui Miao China
Abul Usmani India
Sonia T. Chelbi France
Park Sm South Korea
Beáta Soltész relative to Yao Xue China Yao Xue's profile →
Citations per field
00.5×3.5×
Yao Xue · 1×
Citations per year

Countries citing papers authored by Beáta Soltész

Since Specialization
Citations

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

Fields of papers citing papers by Beáta Soltész

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20235
2 20235
3 20226
4 202210
5 202212
6 202138
7 20213
8 2020140
9 202015
10 201926
11 201928
12 201964
13 201934
14 201926
15 201921
16 20193
17 20192
18 20199
19 20143
20 20142

About Beáta Soltész

Beáta Soltész is a scholar working on Cancer Research, Anatomy, Molecular Biology, Immunology and Pathology and Forensic Medicine, having authored 31 papers that have together received 594 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (11 papers), Extracellular vesicles in disease (7 papers), Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (6 papers), Immunodeficiency and Autoimmune Disorders (4 papers), RNA modifications and cancer (4 papers), Cancer Genomics and Diagnostics (4 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Cancer Research (316 citations), Immunology (122 citations), Molecular Biology (370 citations), Reproductive Medicine (28 citations) and Transplantation (7 citations). Beáta Soltész has collaborated with scholars based in Hungary, Slovakia and United States. Frequent co-authors include Bálint Nagy, Melinda Szilágyi, András Penyige, Éva Márton, Tomáš Szemes, Ondrej Pös, Gergely Buglyó, Ròbert Póka, László Maródi and Beáta Tóth. Their work appears in journals such as Journal of Biotechnology, International Journal of Molecular Sciences, Cellular and Molecular Life Sciences, Frontiers in Immunology 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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