Marek Łoś
- Molecular Biology top 0.5%
- Cell death mechanisms and regulation 39
- RNA Interference and Gene Delivery 13
- Cancer Research top 1%
- Physiology top 0.5%
- Immunology top 1%
- Oncology top 1%
- Cancer-related Molecular Pathways 9
- Cancer Cells and Metastasis 8
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- Autophagy in Disease and Therapy 25
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- Tissue Engineering and Regenerative Medicine 9
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- Endoplasmic Reticulum Stress and Disease 9
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- Electrospun Nanofibers in Biomedical Applications 7
- Co-authors
- Klaus Schulze‐OsthoffSebastian WesselborgSaeid GhavamiDavide FerrariMohammad HashemiThomas KlonischPatrick A. BaeuerleMarcus E. Peter
In The Last Decade
Marek Łoś
166 papers receiving 12.9k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Molecular Biology 7.7k
- Cancer Research 1.7k
- Physiology 461
- Immunology 2.1k
- Oncology 2.4k
Countries citing papers authored by Marek Łoś
This map shows the geographic impact of Marek Łoś'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 Marek Łoś with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Łoś more than expected).
Fields of papers citing papers by Marek Łoś
This network shows the impact of papers produced by Marek Łoś. 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 Marek Łoś. The network helps show where Marek Łoś may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marek Łoś, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 7 | |
| 4 | 2022 | 38 | |
| 5 | 2022 | 34 | |
| 6 | 2022 | 24 | |
| 7 | 2022 | 8 | |
| 8 | Wnt and PI3K/Akt/mTOR Survival Pathways as Therapeutic Targets in Glioblastomabreakdown → | 2022 | 159 |
| 9 | 2021 | 15 | |
| 10 | 2021 | 11 | |
| 11 | 2021 | 20 | |
| 12 | 2021 | 35 | |
| 13 | 2020 | 57 | |
| 14 | 2020 | 32 | |
| 15 | 2019 | 9 | |
| 16 | 2013 | 194 | |
| 17 | 2009 | 88 | |
| 18 | 2008 | 321 | |
| 19 | 2006 | 13 | |
| 20 | Activation of the CD95 pathway by anticancer drugs. | 1996 | 1 |
About Marek Łoś
Marek Łoś is a scholar working on Molecular Biology, Genetics and Cancer Research, having authored 167 papers that have together received 13.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (39 papers), Autophagy in Disease and Therapy (25 papers), RNA Interference and Gene Delivery (13 papers), Tissue Engineering and Regenerative Medicine (9 papers), Cancer-related Molecular Pathways (9 papers), Endoplasmic Reticulum Stress and Disease (9 papers), Cancer Cells and Metastasis (8 papers) and Electrospun Nanofibers in Biomedical Applications (7 papers). The work is most often cited by research in Molecular Biology (7.7k citations), Cancer Research (1.7k citations) and Physiology (461 citations). Marek Łoś has collaborated with scholars based in Canada, Poland and Iran. Frequent co-authors include Klaus Schulze‐Osthoff, Sebastian Wesselborg, Saeid Ghavami, Davide Ferrari, Mohammad Hashemi, Thomas Klonisch, Patrick A. Baeuerle, Marcus E. Peter, Sudharsana Rao Ande and Subbareddy Maddika. Their work appears in journals such as European Journal of Pharmacology, International Journal of Molecular Sciences, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Archivum Immunologiae et Therapiae Experimentalis and Blood.
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.