Jūratė Savickienė
- Molecular Biology
- Genetics top 10%
- Surgery
- Hematology top 10%
- Cancer Research
- Co-authors
- Gražina TreigytėRūta NavakauskienėKarl‐Eric MagnussonArūnas GineitisPeter R. KvietysGediminas CepinskasAstrida MiceikienėTorgny Stigbrand
- Topics
- Retinoids in leukemia and cellular processes (18 papers)Histone Deacetylase Inhibitors Research (11 papers)Acute Myeloid Leukemia Research (11 papers)
- Cited by
- GeneticsHematologyMolecular Biology
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Cell BiologyAnnals of the New York Academy of Sciences
In The Last Decade
Jūratė Savickienė
43 papers receiving 594 citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 390
- Genetics 126
- Surgery 95
- Hematology 73
- Cancer Research 61
Countries citing papers authored by Jūratė Savickienė
This map shows the geographic impact of Jūratė Savickienė'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 Jūratė Savickienė with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jūratė Savickienė more than expected).
Fields of papers citing papers by Jūratė Savickienė
This network shows the impact of papers produced by Jūratė Savickienė. 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 Jūratė Savickienė. The network helps show where Jūratė Savickienė may publish in the future.
Co-authorship network of co-authors of Jūratė Savickienė
This figure shows the co-authorship network connecting the top 25 collaborators of Jūratė Savickienė. A scholar is included among the top collaborators of Jūratė Savickienė 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 Jūratė Savickienė. Jūratė Savickienė 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 | 7 | |
| 3 | 8 | |
| 4 | 20 | |
| 5 | 10 | |
| 6 | COMPARATIVE ANALYSIS OF FARM ECONOMIC VIABILITY ASSESSMENT METHODOLOGIES | 11 |
| 7 | 28 | |
| 8 | Assessment of the Principles of Family Holding Taxation | 1 |
| 9 | 22 | |
| 10 | 4 | |
| 11 | 11 | |
| 12 | 61 | |
| 13 | 11 | |
| 14 | 8 | |
| 15 | 36 | |
| 16 | 22 | |
| 17 | 6 | |
| 18 | 31 | |
| 19 | 6 | |
| 20 | Protein kinase inhibitors exert stage specific and inducer dependent effects on HL-60 cell differentiation. | 11 |
About Jūratė Savickienė
Jūratė Savickienė is a scholar working on Hematology, General Agricultural and Biological Sciences and Genetics, having authored 49 papers that have together received 621 indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (18 papers), Histone Deacetylase Inhibitors Research (11 papers) and Acute Myeloid Leukemia Research (11 papers). The work is most often cited by research in Genetics (126 citations), Hematology (73 citations) and Molecular Biology (390 citations). Jūratė Savickienė has collaborated with scholars based in Lithuania, Sweden and Canada. Frequent co-authors include Gražina Treigytė, Rūta Navakauskienė, Karl‐Eric Magnusson, Arūnas Gineitis, Peter R. Kvietys, Gediminas Cepinskas, Astrida Miceikienė, Torgny Stigbrand, Veronika Borutinskaitė and Virginijus Tunaitis. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Cell Biology and Annals of the New York Academy of Sciences.
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.