Tea Pemovska

94 total papers · 2.2k total citations
25 papers, 742 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 742 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, Mika Kontro, Kimmo Porkka, Olli Kallioniemi, 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 730 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tea Pemovska	391	254	143	137	114	25	742
Mika Kontro	502 1.3×	419 1.6×	155 1.1×	189 1.4×	87 0.8×	52	891
Kate E. Jarman	495 1.3×	219 0.9×	156 1.1×	70 0.5×	41 0.4×	24	864
Andreas Baumann	301 0.8×	177 0.7×	121 0.8×	79 0.6×	20 0.2×	31	874
Austin Vogt	511 1.3×	164 0.6×	54 0.4×	43 0.3×	96 0.8×	18	761
Jörg Trappe	463 1.2×	105 0.4×	181 1.3×	81 0.6×	54 0.5×	15	830
Lucile Serfass	540 1.4×	78 0.3×	231 1.6×	72 0.5×	34 0.3×	15	834
Raji Sundaramoorthi	466 1.2×	263 1.0×	209 1.5×	179 1.3×	31 0.3×	23	869
Andrea Schweinitz	299 0.8×	141 0.6×	151 1.1×	54 0.4×	36 0.3×	23	620
Ramesh Jayaraman	429 1.1×	250 1.0×	352 2.5×	341 2.5×	48 0.4×	18	892
Marit Stirnberg	326 0.8×	279 1.1×	111 0.8×	244 1.8×	24 0.2×	31	788

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

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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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