Tea Pemovska

2.3k total citations
25 papers, 751 citations indexed

About

Tea Pemovska is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Tea Pemovska has authored 25 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Hematology and 7 papers in Genetics. Recurrent topics in Tea Pemovska's work include Chronic Myeloid Leukemia Treatments (9 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Acute Lymphoblastic Leukemia research (5 papers). Tea Pemovska is often cited by papers focused on Chronic Myeloid Leukemia Treatments (9 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Acute Lymphoblastic Leukemia research (5 papers). Tea Pemovska collaborates with scholars based in Finland, Austria and Germany. Tea Pemovska's 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 and has published in prestigious journals such as Nature, Nature Communications and Blood.

In The Last Decade

Tea Pemovska

24 papers receiving 739 citations

Peers

Tea Pemovska
Comparison fields: 5 of 84
  • Molecular Biology 392
  • Hematology 254
  • Oncology 143
  • Genetics 138
  • Computational Theory and Mathematics 114
Replace Disha Malani with:
Disha Malani Finland
Swapnil Potdar Finland
Heriberto Bruzzoni‐Giovanelli France
Martin Schröder Germany
Anne Marinier Canada
Gretchen A. Repasky United States
Jörg Trappe Switzerland
Eric B. Springman United States
Andrea Schweinitz Germany
Ramesh Jayaraman Singapore
Disha Malani Finland View profile →
Citations per field, relative to Tea Pemovska
Tea Pemovska · 1×
Citations per year, relative to Tea Pemovska
Tea Pemovska · 1×

Countries citing papers authored by Tea Pemovska

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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