Natalja Eigėlienė
Impact in
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- Cancer Genomics and Diagnostics
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- Cancer Cells and Metastasis
- Colorectal Cancer Treatments and Studies
Papers in
- Oncology 6
- Cancer Treatment and Pharmacology 2
- Cancer Cells and Metastasis 2
- Colorectal Cancer Treatments and Studies 2
- PARP inhibition in cancer therapy 1
- Pancreatic and Hepatic Oncology Research 1
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- Cancer Genomics and Diagnostics 4
- Co-authors
- Antti Jekunen (8 shared papers)Jatta Saarenheimo (7 shared papers)Heidi Andersén (4 shared papers)Marja Tiirola (1 shared paper)Pirkko Härkönen (2 shared papers)Jenni E. Keskitalo (1 shared paper)Lauri Kangas (1 shared paper)Ilkka Koskivuo (2 shared papers)
In The Last Decade
Natalja Eigėlienė
11 papers receiving 155 citations
Peers
Comparison fields: 5 of 34
- Cancer Research 71
- Oncology 59
- Pulmonary and Respiratory Medicine 64
- Modeling and Simulation 4
- Radiology, Nuclear Medicine and Imaging 15
Countries citing papers authored by Natalja Eigėlienė
This map shows the geographic impact of Natalja Eigėlienė'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 Natalja Eigėlienė with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalja Eigėlienė more than expected).
Fields of papers citing papers by Natalja Eigėlienė
This network shows the impact of papers produced by Natalja Eigėlienė. 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 Natalja Eigėlienė. The network helps show where Natalja Eigėlienė may publish in the future.
Co-authors
The 25 scholars most cited alongside Natalja Eigėlienė, 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 | 2019 | 61 | |
| 2 | 2019 | 16 | |
| 3 | 2020 | 13 | |
| 4 | 2021 | 12 | |
| 5 | 2023 | 11 | |
| 6 | 2014 | 10 | |
| 7 | 2020 | 9 | |
| 8 | 2017 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 0 |
About Natalja Eigėlienė
Natalja Eigėlienė is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 158 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Lung Cancer Treatments and Mutations (3 papers), Cancer Treatment and Pharmacology (2 papers), Cancer Cells and Metastasis (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), PARP inhibition in cancer therapy (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Cancer Research (71 citations), Oncology (59 citations), Pulmonary and Respiratory Medicine (64 citations), Modeling and Simulation (4 citations) and Radiology, Nuclear Medicine and Imaging (15 citations). Natalja Eigėlienė has collaborated with scholars based in Finland, Sweden and Türkiye. Frequent co-authors include Antti Jekunen, Jatta Saarenheimo, Heidi Andersén, Marja Tiirola, Pirkko Härkönen, Jenni E. Keskitalo, Lauri Kangas, Ilkka Koskivuo, Kalervo Väänänen and Matthias Nees. Their work appears in journals such as Frontiers in Oncology, Journal of Clinical Oncology, Acta Oncologica, Cellular Oncology and Hormone and Metabolic Research.
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.