Karolina Pavic
- Co-authors
- Maja KöhnPablo RíosGuangyou DuanJukka WestermarckOtto KaukoJuha OkkeriGrzegorz SarekPäivi M. Ojala
- Topics
- Protein Tyrosine Phosphatases (5 papers)Protein Kinase Regulation and GTPase Signaling (4 papers)Computational Drug Discovery Methods (3 papers)
- Partner nations
- FinlandGermanyLuxembourg
In The Last Decade
Karolina Pavic
12 papers receiving 284 citations
Peers
Comparison fields: 5 of 55
- Molecular Biology 245
- Oncology 46
- Immunology 43
- Cell Biology 41
- Cancer Research 31
Countries citing papers authored by Karolina Pavic
This map shows the geographic impact of Karolina Pavic'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 Karolina Pavic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karolina Pavic more than expected).
Fields of papers citing papers by Karolina Pavic
This network shows the impact of papers produced by Karolina Pavic. 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 Karolina Pavic. The network helps show where Karolina Pavic may publish in the future.
Co-authorship network of co-authors of Karolina Pavic
This figure shows the co-authorship network connecting the top 25 collaborators of Karolina Pavic. A scholar is included among the top collaborators of Karolina Pavic 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 Karolina Pavic. Karolina Pavic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 12 | |
| 6 | 14 | |
| 7 | 45 | |
| 8 | 18 | |
| 9 | 77 | |
| 10 | 31 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 52 |
About Karolina Pavic
Karolina Pavic is a scholar working on Toxicology, Computational Theory and Mathematics and Molecular Biology, having authored 13 papers that have together received 284 indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Molecular Biology (245 citations), Cell Biology (41 citations) and Cancer Research (31 citations). Karolina Pavic has collaborated with scholars based in Finland, Germany and Luxembourg. Frequent co-authors include Maja Köhn, Pablo Ríos, Guangyou Duan, Jukka Westermarck, Otto Kauko, Juha Okkeri, Grzegorz Sarek, Päivi M. Ojala, Zhizhi Wang and Wenqing Xu. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Clinical Cancer Research.
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.