Tea Pemovska
- Molecular Biology
- Hematology top 5%
- Oncology
- Genetics top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Krister WennerbergOlli KallioniemiKimmo PorkkaMika KontroGiulio Superti‐FurgaJohannes W. BigenzahnCaroline A. HeckmanMuntasir Mamun Majumder
- Topics
- Chronic Myeloid Leukemia Treatments (9 papers)Chronic Lymphocytic Leukemia Research (7 papers)Acute Lymphoblastic Leukemia research (5 papers)
- Journals
- NatureNature CommunicationsBlood
In The Last Decade
Tea Pemovska
24 papers receiving 739 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 392
- Hematology 254
- Oncology 143
- Genetics 138
- Computational Theory and Mathematics 114
Countries citing papers authored by Tea Pemovska
This map shows the geographic impact of Tea Pemovska'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 Tea Pemovska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tea Pemovska more than expected).
Fields of papers citing papers by Tea Pemovska
This network shows the impact of papers produced by Tea Pemovska. 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 Tea Pemovska. The network helps show where Tea Pemovska may publish in the future.
Co-authorship network of co-authors of Tea Pemovska
This figure shows the co-authorship network connecting the top 25 collaborators of Tea Pemovska. A scholar is included among the top collaborators of Tea Pemovska 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 Tea Pemovska. Tea Pemovska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 15 | |
| 5 | 14 | |
| 6 | 84 | |
| 7 | 15 | |
| 8 | 41 | |
| 9 | 66 | |
| 10 | 44 | |
| 11 | 7 | |
| 12 | 18 | |
| 13 | 172 | |
| 14 | Individualised systems medicine: Next-generation precision cancer medicine and drug positioning | 1 |
| 15 | 214 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 21 |
About Tea Pemovska
Tea Pemovska is a scholar working on Hematology, Genetics and Computational Theory and Mathematics, having authored 25 papers that have together received 751 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (9 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Acute Lymphoblastic Leukemia research (5 papers). The work is most often cited by research in Hematology (254 citations), Genetics (138 citations) and Computational Theory and Mathematics (114 citations). Tea Pemovska has collaborated with scholars based in Finland, Austria and Germany. Frequent co-authors include Krister Wennerberg, Olli Kallioniemi, Kimmo Porkka, Mika Kontro, Giulio Superti‐Furga, Johannes W. Bigenzahn, Caroline A. Heckman, Muntasir Mamun Majumder, Bhagwan Yadav and Disha Malani. Their work appears in journals such as Nature, Nature Communications and Blood.
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.