Judit Berta
Impact in
- Pharmacology top 5%
- Apelin-related biomedical research
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- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
Papers in
- Oncology 7
- Lung Cancer Research Studies 6
- Cancer Immunotherapy and Biomarkers 3
-
- Apelin-related biomedical research 5
- Co-authors
- Balázs Döme (18 shared papers)Walter Klepetko (6 shared papers)Balázs Hegedűs (6 shared papers)Anita Rózsás (7 shared papers)Ferenc Renyi-Vamos (5 shared papers)József Tóvári (5 shared papers)Zoltán Lohinai (6 shared papers)Sándor Paku (4 shared papers)
In The Last Decade
Judit Berta
20 papers receiving 636 citations
Peers
Comparison fields: 5 of 59
- Pharmacology 191
- Oncology 101
- Molecular Biology 212
- Cancer Research 36
- Pulmonary and Respiratory Medicine 62
Countries citing papers authored by Judit Berta
This map shows the geographic impact of Judit Berta'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 Judit Berta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judit Berta more than expected).
Fields of papers citing papers by Judit Berta
This network shows the impact of papers produced by Judit Berta. 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 Judit Berta. The network helps show where Judit Berta may publish in the future.
Co-authors
The 25 scholars most cited alongside Judit Berta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 115 | |
| 2 | 2021 | 94 | |
| 3 | 2019 | 91 | |
| 4 | 2014 | 82 | |
| 5 | 2016 | 51 | |
| 6 | 2011 | 43 | |
| 7 | 2023 | 35 | |
| 8 | 2010 | 30 | |
| 9 | 2021 | 24 | |
| 10 | 2013 | 17 | |
| 11 | 2021 | 16 | |
| 12 | 2022 | 11 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 5 | |
| 16 | 2022 | 4 | |
| 17 | [Heterogeneity of small cell lung cancer: biological and clinicopathological implications]. | 2020 | 2 |
| 18 | 2024 | 2 | |
| 19 | [Therapeutic possibilities in KRAS-mutant lung adenocarcinoma]. | 2020 | 1 |
| 20 | 2024 | 1 |
About Judit Berta
Judit Berta is a scholar working on Oncology, Pharmacology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 21 papers that have together received 640 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (6 papers), Apelin-related biomedical research (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), Gut microbiota and health (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Erythropoietin and Anemia Treatment (1 paper), Lung Cancer Treatments and Mutations (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Pharmacology (191 citations), Oncology (101 citations), Molecular Biology (212 citations), Cancer Research (36 citations) and Pulmonary and Respiratory Medicine (62 citations). Judit Berta has collaborated with scholars based in Hungary, Austria and Sweden. Frequent co-authors include Balázs Döme, Walter Klepetko, Balázs Hegedűs, Anita Rózsás, Ferenc Renyi-Vamos, József Tóvári, Zoltán Lohinai, Sándor Paku, Gabriella Gálffy and Glen J. Weiss. Their work appears in journals such as Current Opinion in Oncology, Oncotarget, PLoS ONE, Journal of Thoracic Oncology and Lung Cancer.
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.