Mariola Kulawiec
- Molecular Biology top 5%
- Cancer Research top 5%
- Physiology top 10%
- Clinical Biochemistry top 2%
- Immunology
- Co-authors
- Keshav K. SinghKjerstin M. OwensMohamed Mokhtar DesoukiAyyasamy VanniarajanJosephine S. Modica-NapolitanoSeiichi MatsuiIvan H. StillGaia Bistulfi
- Topics
- Mitochondrial Function and Pathology (17 papers)Metabolomics and Mass Spectrometry Studies (5 papers)DNA Repair Mechanisms (5 papers)
- Partner nations
- United StatesPolandIreland
In The Last Decade
Mariola Kulawiec
25 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 1.3k
- Cancer Research 541
- Physiology 245
- Clinical Biochemistry 181
- Immunology 169
Countries citing papers authored by Mariola Kulawiec
This map shows the geographic impact of Mariola Kulawiec'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 Mariola Kulawiec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariola Kulawiec more than expected).
Fields of papers citing papers by Mariola Kulawiec
This network shows the impact of papers produced by Mariola Kulawiec. 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 Mariola Kulawiec. The network helps show where Mariola Kulawiec may publish in the future.
Co-authorship network of co-authors of Mariola Kulawiec
This figure shows the co-authorship network connecting the top 25 collaborators of Mariola Kulawiec. A scholar is included among the top collaborators of Mariola Kulawiec 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 Mariola Kulawiec. Mariola Kulawiec is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 1 | |
| 3 | 64 | |
| 4 | 84 | |
| 5 | 18 | |
| 6 | 187 | |
| 7 | 90 | |
| 8 | 115 | |
| 9 | 165 | |
| 10 | 87 | |
| 11 | 59 | |
| 12 | 73 | |
| 13 | 141 | |
| 14 | 26 | |
| 15 | 59 | |
| 16 | 141 | |
| 17 | 108 | |
| 18 | 37 | |
| 19 | Chromosome number variation in somatic hybrids between transgenic tomato (Lycopersicon esculentum) and Solanum lycopersicoides. | 7 |
| 20 | Influence of genotype, temperature and source of protoplasts on protoplast isolation and regeneration in some Brassicaceae | 1 |
About Mariola Kulawiec
Mariola Kulawiec is a scholar working on Aging, Cancer Research and Clinical Biochemistry, having authored 26 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (17 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and DNA Repair Mechanisms (5 papers). The work is most often cited by research in Cancer Research (541 citations), Clinical Biochemistry (181 citations) and Molecular Biology (1.3k citations). Mariola Kulawiec has collaborated with scholars based in United States, Poland and Ireland. Frequent co-authors include Keshav K. Singh, Kjerstin M. Owens, Mohamed Mokhtar Desouki, Keshav K. Singh, Ayyasamy Vanniarajan, Josephine S. Modica-Napolitano, Seiichi Matsui, Ivan H. Still, Gaia Bistulfi and Hilal Arnouk. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications and PLoS Genetics.
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.