Maciej Wnuk

3.8k citations
133 papers · 2.8k indexed · h-index 30
Topics
Telomeres, Telomerase, and Senescence (18 papers)Chromosomal and Genetic Variations (13 papers)Genomics and Chromatin Dynamics (12 papers)
Partner nations
PolandItalySwitzerland

In The Last Decade

Maciej Wnuk

129 papers receiving 2.7k citations

Peers

Maciej Wnuk
Comparison fields: 5 of 137
  • Molecular Biology 1.4k
  • Physiology 366
  • Cancer Research 364
  • Materials Chemistry 306
  • Plant Science 282
Replace Anna Lewińska with:
Anna Lewińska Poland
Betül Karademir Türkiye
Jisun Lee South Korea
Harris Pratsinis Greece
Ki‐Tae Ha South Korea
Yinsheng Wan United States
Saeko Tada‐Oikawa Japan
Peter Brenneisen Germany
Shivendra V. Singh United States
Massimiliano Cuccioloni Italy
Maciej Wnuk relative to Anna Lewińska Poland Anna Lewińska's profile →
Citations per field
00.5×1.5×
Anna Lewińska · 1×
Citations per year

Countries citing papers authored by Maciej Wnuk

Since Specialization
Citations

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

Fields of papers citing papers by Maciej Wnuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maciej Wnuk

This figure shows the co-authorship network connecting the top 25 collaborators of Maciej Wnuk. A scholar is included among the top collaborators of Maciej Wnuk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maciej Wnuk. Maciej Wnuk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 3
3 5
4 13
5 10
6 29
7 3
8 4
9 10
10 12
11 23
12 24
13 15
14 39
15 75
16 3
17 19
18 5
19 10
20
Karyotype analysis in pigs - hybrids of European wild boar (Sus scrofa scrofa) and domestic pig (Sus scrofa domestica)
1

About Maciej Wnuk

Maciej Wnuk is a scholar working on Aging, Molecular Medicine and Geriatrics and Gerontology, having authored 133 papers that have together received 2.8k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (18 papers), Chromosomal and Genetic Variations (13 papers) and Genomics and Chromatin Dynamics (12 papers). The work is most often cited by research in Aging (74 citations), Geriatrics and Gerontology (107 citations) and Molecular Medicine (124 citations). Maciej Wnuk has collaborated with scholars based in Poland, Italy and Switzerland. Frequent co-authors include Anna Lewińska, Jagoda Adamczyk‐Grochala, Anna Deręgowska, Jacek Żebrowski, Jennifer Mytych, Grzegorz Bartosz, E. Słota, Ewa Kwasniewicz, Anna Bielak-Żmijewska and Dominika Błoniarz. Their work appears in journals such as Blood, Biomaterials and Advanced Functional Materials.

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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