Olga Mucha

695 citations
24 papers · 497 · h-index 14

Impact in

Papers in

    • Muscle Physiology and Disorders 11
    • Heme Oxygenase-1 and Carbon Monoxide 7
    • Adipose Tissue and Metabolism 6

Olga Mucha

24 papers receiving 493 citations

Peers

Olga Mucha
Comparison fields: 5 of 72
  • Rehabilitation 35
  • Molecular Biology 361
  • Cancer Research 64
  • Genetics 39
  • Cell Biology 64
Replace Paulina Podkalicka with:
Paulina Podkalicka Poland
You-You Zhang China
Markus Jähnert Germany
Jeong Sig Kim South Korea
Libin Ni China
Hai-Yan Huang China
Chenglin Mo United States
Cécile Coudy‐Gandilhon France
Joanna Brzeszczyńska United Kingdom
Xiao‐Bing Cui China
Olga Mucha relative to Paulina Podkalicka Poland Paulina Podkalicka's profile →
Citations per field
00.5×1.5×
Paulina Podkalicka · 1×
Citations per year

Countries citing papers authored by Olga Mucha

Since Specialization
Citations

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

Fields of papers citing papers by Olga Mucha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201876
2 201743
3 201942
4 201840
5 202037
6 201727
7 202027
8 201926
9 201925
10 201822
11 202118
12 202117
13 202015
14 202214
15 202113
16 201812
17 201911
18 20249
19 20237
20 20216

About Olga Mucha

Olga Mucha is a scholar working on Molecular Biology, Physiology, Genetics, Cell Biology and Surgery, having authored 24 papers that have together received 497 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (11 papers), Heme Oxygenase-1 and Carbon Monoxide (7 papers), Adipose Tissue and Metabolism (6 papers), Mesenchymal stem cell research (4 papers), Muscle metabolism and nutrition (3 papers), Autophagy in Disease and Therapy (3 papers), Neonatal Health and Biochemistry (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Rehabilitation (35 citations), Molecular Biology (361 citations), Cancer Research (64 citations), Genetics (39 citations) and Cell Biology (64 citations). Olga Mucha has collaborated with scholars based in Poland, Spain and Italy. Frequent co-authors include Józef Dulak, Agnieszka Łoboda, Paulina Podkalicka, Alicja Józkowicz, Jacek Stępniewski, Mateusz Sobczak, Anna Stachurska, Neli Kachamakova‐Trojanowska, Magdalena Kozakowska and Karolina Bukowska-Straková. Their work appears in journals such as Biomolecules, Scientific Reports, Antioxidants and Redox Signaling, Skeletal Muscle and European Journal of Pharmacology.

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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