Csaba László

948 citations
20 papers · 719 · h-index 13

Impact in

    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
    • Cancer Cells and Metastasis

Papers in

    • Epigenetics and DNA Methylation 3
    • Fibroblast Growth Factor Research 2
    • RNA regulation and disease 2
    • Cancer, Hypoxia, and Metabolism 5
    • NF-κB Signaling Pathways 2

Csaba László

20 papers receiving 710 citations

Peers

Csaba László
Comparison fields: 5 of 83
  • Cancer Research 181
  • Oncology 172
  • Molecular Biology 376
  • Cell Biology 75
  • Biotechnology 35
Replace Alessandro Arcucci with:
Alessandro Arcucci Italy
Anthony L. Sinn United States
Stacey Fossey United States
Jessica González-Hernández United States
Alok R. Singh United States
Lavinia Nardinocchi Italy
Jackie Thorburn United States
Joëlle Collignon Belgium
Bibiana I. Ferreira Spain
Liqing Zhuang Australia
Csaba László relative to Alessandro Arcucci Italy Alessandro Arcucci's profile →
Citations per field
00.5×2.7×
Alessandro Arcucci · 1×
Citations per year

Countries citing papers authored by Csaba László

Since Specialization
Citations

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

Fields of papers citing papers by Csaba László

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2015182
2 200974
3 202262
4 201056
5 201354
6 201250
7 202044
8 200940
9 201340
10 202123
11 201820
12 201919
13 200813
14 201012
15 20098
16 20228
17 20096
18 20224
19 20253
20 20231

About Csaba László

Csaba László is a scholar working on Molecular Biology, Cancer Research, Genetics, Immunology and Oncology, having authored 20 papers that have together received 719 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (5 papers), Estrogen and related hormone effects (4 papers), Epigenetics and DNA Methylation (3 papers), Fibroblast Growth Factor Research (2 papers), NF-κB Signaling Pathways (2 papers), RNA regulation and disease (2 papers), Endoplasmic Reticulum Stress and Disease (1 paper) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Cancer Research (181 citations), Oncology (172 citations), Molecular Biology (376 citations), Cell Biology (75 citations) and Biotechnology (35 citations). Csaba László has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Shiyong Wu, Setsuko K. Chambers, Ho-Hyung Woo, Cathrin Brisken, Bogdan Olenyuk, Lajos Szabó, Swati Kushal, Victor Neel, Seung‐Hee Jo and Sandro Goruppi. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications, Molecular Cancer, Journal of Pharmaceutical and Biomedical Analysis and Molecular and Cellular Biochemistry.

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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