Marek Łoś

173 papers receiving 13.6k citations

Marek Łoś's Hit Papers

Wnt and PI3K/Akt/mTOR Survival Pathways as Therapeutic Targets in Glioblastoma 2022 · 169 citations
1690+10+20Years since publication250500750

Peers

Marek Łoś
Comparison fields: 5 of 164
  • Cancer Research 1.5k
  • Molecular Biology 7.5k
  • Physiology 450
  • Immunology 1.9k
  • Oncology 2.3k
Replace Stephen W. G. Tait with:
Stephen W. G. Tait United Kingdom
Canhua Huang China
Philippe Marchetti France
Saeid Ghavami Canada
Walter Malorni Italy
Wan‐Wan Lin Taiwan
Michele Caraglia Italy
Dmitri V. Krysko Belgium
Jing Liu China
Richard D. Ye United States
Marek Łoś relative to Stephen W. G. Tait United Kingdom Stephen W. G. Tait's profile →
Citations per field
00.5×1.5×
Stephen W. G. Tait · 1×
Citations per year

Countries citing papers authored by Marek Łoś

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Marek Łoś Line = papers co-authored together Marek Łoś links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Autophagy and apoptosis dysfunction in neurodegenerative disorders
Hit paper breakdown →
2013875
2
Apoptosis signaling by death receptors
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1998849
3
Requirement of an ICE/CED-3 protease for Fas/APO-1-mediated apoptosis
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1995580
4
PARP is important for genomic stability but dispensable in apoptosis
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1997502
5 2002431
6 1999356
7 2008339
8 1999271
9 2008269
10 1999246
11 1995245
12 2012244
13 2009214
14 2019214
15 2013202
16 1998190
17
An update on drugs with therapeutic potential for SARS-CoV-2 (COVID-19) treatment
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2021190
18 1995189
19 2018182
20 1997179

About Marek Łoś

Marek Łoś is a scholar working on Molecular Biology, Epidemiology, Oncology, Immunology and Surgery, having authored 176 papers that have together received 13.9k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (39 papers), Autophagy in Disease and Therapy (24 papers), RNA Interference and Gene Delivery (15 papers), Tissue Engineering and Regenerative Medicine (10 papers), Endoplasmic Reticulum Stress and Disease (9 papers), Electrospun Nanofibers in Biomedical Applications (8 papers), Bone Tissue Engineering Materials (8 papers) and Cancer-related Molecular Pathways (8 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (7.5k citations), Physiology (450 citations), Immunology (1.9k citations) and Oncology (2.3k 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, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, International Journal of Molecular Sciences, 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.

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