Magdalena Skunca

667 citations
14 papers · 553 indexed · h-index 10

Magdalena Skunca

14 papers receiving 536 citations

Peers

Magdalena Skunca
Comparison fields: 5 of 66
  • Biochemistry 168
  • Neurology 77
  • Pulmonary and Respiratory Medicine 165
  • Molecular Biology 302
  • Rheumatology 56
Replace Marta Fierro‐Fernández with:
Marta Fierro‐Fernández Spain
Satish Kalari United States
Nicole J. Croteau United States
Mehdi Motallebipour Sweden
M Kanamori Japan
Tatiana Favez Switzerland
Mabruka Alfaidi United States
Amaia Arruabarrena-Aristorena Spain
Shilpy Joshi United States
Magdalena Skunca relative to Marta Fierro‐Fernández Spain Marta Fierro‐Fernández's profile →
Citations per field
00.5×9.6×
Marta Fierro‐Fernández · 1×
Citations per year

Countries citing papers authored by Magdalena Skunca

Since Specialization
Citations

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

Fields of papers citing papers by Magdalena Skunca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 20066
2 200617
3 20069
4 200478
5 200442
6 200493
7 200214
8 20003
9 19962
10
Ornithine decarboxylase transformation of NIH/3T3 cells is mediated by altered epidermal growth factor receptor activity.
199529
11
Transformation of NIH/3T3 cells by ornithine decarboxylase overexpression.
1993201
12 199221
13 199034
14 19874

About Magdalena Skunca

Magdalena Skunca is a scholar working on Biochemistry, Pulmonary and Respiratory Medicine and Clinical Biochemistry, having authored 14 papers that have together received 553 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (5 papers), Polyamine Metabolism and Applications (5 papers), Aortic aneurysm repair treatments (5 papers), Aortic Disease and Treatment Approaches (3 papers), Infectious Aortic and Vascular Conditions (3 papers), Epigenetics and DNA Methylation (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Moyamoya disease diagnosis and treatment (1 paper). The work is most often cited by research in Biochemistry (168 citations), Neurology (77 citations) and Pulmonary and Respiratory Medicine (165 citations). Magdalena Skunca has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Julie Dosescu, Jeffrey A. Moshier, Gordon D. Luk, Gerard Tromp, Helena Kuivaniemi, Jane M. Olson, Hidenori Shibamura, Ramón Berguer, Zoran Gatalica and Moumita Biswas. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Circulation.

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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