Csaba László
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Breast Cancer Treatment Studies
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- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
Papers in
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- Cancer, Hypoxia, and Metabolism 3
- NF-κB Signaling Pathways 2
- MicroRNA in disease regulation 2
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- Endoplasmic Reticulum Stress and Disease 3
- Co-authors
- Shiyong Wu (5 shared papers)Ho-Hyung Woo (2 shared papers)Setsuko K. Chambers (2 shared papers)Cathrin Brisken (6 shared papers)Gian Paolo Dotto (3 shared papers)Swati Kushal (3 shared papers)Bogdan Z. Olenyuk (3 shared papers)Sandro Goruppi (2 shared papers)
- Journals
- Nature Communications (2 papers)Journal of the American Chemical Society (2 papers)Biopolymers (1 paper)Life Sciences (1 paper)Molecular and Cellular Biochemistry (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Csaba László
22 papers receiving 750 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 168
- Oncology 120
- Cell Biology 62
- Molecular Biology 233
- Genetics 65
Countries citing papers authored by Csaba László
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
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.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 189 | |
| 2 | 2009 | 74 | |
| 3 | 2022 | 72 | |
| 4 | 2010 | 59 | |
| 5 | 2013 | 55 | |
| 6 | 2012 | 52 | |
| 7 | 2020 | 44 | |
| 8 | 2013 | 42 | |
| 9 | 2009 | 40 | |
| 10 | 2021 | 31 | |
| 11 | 2018 | 22 | |
| 12 | 2019 | 19 | |
| 13 | 2008 | 14 | |
| 14 | 2010 | 12 | |
| 15 | 2022 | 9 | |
| 16 | 2009 | 8 | |
| 17 | 2016 | 7 | |
| 18 | 2009 | 6 | |
| 19 | 2022 | 4 | |
| 20 | 2025 | 3 |
About Csaba László
Csaba László is a scholar working on Cancer Research, Cell Biology, Genetics, Molecular Biology and Analytical Chemistry, having authored 22 papers that have together received 764 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), NF-κB Signaling Pathways (2 papers), Histone Deacetylase Inhibitors Research (2 papers), MicroRNA in disease regulation (2 papers), Synthesis and biological activity (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). The work is most often cited by research in Cancer Research (168 citations), Oncology (120 citations), Cell Biology (62 citations), Molecular Biology (233 citations) and Genetics (65 citations). Csaba László has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Shiyong Wu, Ho-Hyung Woo, Setsuko K. Chambers, Cathrin Brisken, Gian Paolo Dotto, Swati Kushal, Bogdan Z. Olenyuk, Sandro Goruppi, Seung‐Hee Jo and Victor Neel. Their work appears in journals such as Nature Communications, Journal of the American Chemical Society, Biopolymers, Life Sciences 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.