Violeta Jonušienė
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Endometrial and Cervical Cancer Treatments
Papers in
-
- Developmental Biology and Gene Regulation 3
- Wnt/β-catenin signaling in development and cancer 2
- Hedgehog Signaling Pathway Studies 2
-
- Synthesis and Biological Evaluation 2
- Co-authors
- Aušra Sasnauskienė (13 shared papers)Daiva Dabkevičienė (6 shared papers)Janina Didžiapetrienė (5 shared papers)Arvydas Laurinavičius (1 shared paper)Pranas Grigaitis (2 shared papers)Eglė Žalytė (1 shared paper)Audronè Maroziené (4 shared papers)Aušra Nemeikaitė-Čėnienė (4 shared papers)
In The Last Decade
Violeta Jonušienė
20 papers receiving 353 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 93
- Obstetrics and Gynecology 28
- Oncology 85
- Molecular Biology 214
- Reproductive Medicine 18
Countries citing papers authored by Violeta Jonušienė
This map shows the geographic impact of Violeta Jonušienė'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 Violeta Jonušienė with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Violeta Jonušienė more than expected).
Fields of papers citing papers by Violeta Jonušienė
This network shows the impact of papers produced by Violeta Jonušienė. 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 Violeta Jonušienė. The network helps show where Violeta Jonušienė may publish in the future.
Co-authors
The 19 scholars most cited alongside Violeta Jonušienė, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 57 | |
| 2 | 2009 | 56 | |
| 3 | 2015 | 47 | |
| 4 | 2013 | 46 | |
| 5 | 2014 | 30 | |
| 6 | 2020 | 19 | |
| 7 | 2011 | 17 | |
| 8 | 2019 | 16 | |
| 9 | 2009 | 13 | |
| 10 | 2022 | 10 | |
| 11 | 2020 | 8 | |
| 12 | 2017 | 7 | |
| 13 | 2023 | 5 | |
| 14 | 2018 | 5 | |
| 15 | 2020 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2022 | 3 | |
| 18 | The cloning and characterization of Tetrahymena pyriformis translation elongation factor 1b alpha and gamma subunits. | 2005 | 3 |
| 19 | 2020 | 3 | |
| 20 | 2013 | 2 |
About Violeta Jonušienė
Violeta Jonušienė is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 20 papers that have together received 356 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (3 papers), Photodynamic Therapy Research Studies (3 papers), Developmental Biology and Gene Regulation (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Synthesis and Biological Evaluation (2 papers) and Endometrial and Cervical Cancer Treatments (2 papers). The work is most often cited by research in Cancer Research (93 citations), Obstetrics and Gynecology (28 citations), Oncology (85 citations), Molecular Biology (214 citations) and Reproductive Medicine (18 citations). Violeta Jonušienė has collaborated with scholars based in Lithuania, Belarus and Russia. Frequent co-authors include Aušra Sasnauskienė, Daiva Dabkevičienė, Janina Didžiapetrienė, Arvydas Laurinavičius, Pranas Grigaitis, Eglė Žalytė, Audronè Maroziené, Aušra Nemeikaitė-Čėnienė, Narimantas Čėnas and Jonas Šarlauskas. Their work appears in journals such as Journal of Cellular Biochemistry, International Journal of Molecular Sciences, Medical Oncology, Autophagy and Molecular and Cellular Biochemistry.
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.