Marek Adamowicz

851 citations
9 papers · 641 · h-index 7

Impact in

Papers in

    • DNA Repair Mechanisms 7
    • CRISPR and Genetic Engineering 3
    • RNA Research and Splicing 2
    • Genomics and Chromatin Dynamics 1
    • PARP inhibition in cancer therapy 4
    • Cancer-related Molecular Pathways 1

Marek Adamowicz

9 papers receiving 640 citations

Peers

Marek Adamowicz
Comparison fields: 5 of 72
  • Aging 22
  • Molecular Medicine 54
  • Molecular Biology 507
  • Oncology 176
  • Geriatrics and Gerontology 19
Replace Olga Alster with:
Olga Alster Poland
Agnieszka Bojko Poland
Mei-Shiue Kuo France
Cenk Kığ Türkiye
Gouri Pandya India
Vinod Tiwari United States
Stefanie Rakel Germany
Yi‐Ting Chuang Taiwan
Peter Pyrko United States
Yurong Chai China
Marek Adamowicz relative to Olga Alster Poland Olga Alster's profile →
Citations per field
00.5×2.7×
Olga Alster · 1×
Citations per year

Countries citing papers authored by Marek Adamowicz

Since Specialization
Citations

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

Fields of papers citing papers by Marek Adamowicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2018194
2 2021139
3 2012128
4 201567
5 201654
6 202144
7 20208
8 20184
9 20183

About Marek Adamowicz

Marek Adamowicz is a scholar working on Molecular Biology, Oncology, Epidemiology, Molecular Medicine and Physiology, having authored 9 papers that have together received 641 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), PARP inhibition in cancer therapy (4 papers), CRISPR and Genetic Engineering (3 papers), RNA Research and Splicing (2 papers), Genomics and Chromatin Dynamics (1 paper), Cancer-related Molecular Pathways (1 paper), Telomeres, Telomerase, and Senescence (1 paper) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Aging (22 citations), Molecular Medicine (54 citations), Molecular Biology (507 citations), Oncology (176 citations) and Geriatrics and Gerontology (19 citations). Marek Adamowicz has collaborated with scholars based in United Kingdom, Italy and Japan. Frequent co-authors include Fabrizio d’Adda di Fagagna, Jan Bražina, Olga Alster, Ewa Sikora, Keith W. Caldecott, Andrzej A. Szczepankiewicz, Grażyna Mosieniak, Grzegorz M. Wilczyński, Annie Albert Demin and Richard Hailstone. Their work appears in journals such as Nature Communications, Molecular Cell, Cell Reports, Nature Structural & Molecular Biology and Nature Cell Biology.

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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