Judit Berta

755 total citations
19 papers, 479 citations indexed

About

Judit Berta is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Judit Berta has authored 19 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Oncology. Recurrent topics in Judit Berta's work include Gut microbiota and health (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers) and Apelin-related biomedical research (3 papers). Judit Berta is often cited by papers focused on Gut microbiota and health (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers) and Apelin-related biomedical research (3 papers). Judit Berta collaborates with scholars based in Hungary, Austria and Sweden. Judit Berta's co-authors include Balázs Döme, Walter Klepetko, Balázs Hegedűs, Anita Rózsás, F Rényi-Vámos, József Tóvári, Zoltán Lohinai, Sándor Paku, Viktória László and Mir Alireza Hoda and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Judit Berta

16 papers receiving 478 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Judit Berta Hungary 10 209 163 120 88 87 19 479
Nádia Gonçalves Portugal 13 138 0.7× 129 0.8× 205 1.7× 41 0.5× 56 0.6× 26 684
Lívia Corrêa Barroso Brazil 9 178 0.9× 61 0.4× 27 0.2× 56 0.6× 31 0.4× 10 512
W Uracz Poland 14 104 0.5× 60 0.4× 57 0.5× 41 0.5× 32 0.4× 40 529
Ingela Lilja Sweden 12 81 0.4× 107 0.7× 171 1.4× 76 0.9× 68 0.8× 20 432
David Hernández‐Espinosa Spain 14 203 1.0× 14 0.1× 88 0.7× 94 1.1× 43 0.5× 29 558
Masahiro Fujii Japan 12 132 0.6× 20 0.1× 50 0.4× 49 0.6× 35 0.4× 52 449
Sonia Philipose Austria 9 88 0.4× 122 0.7× 61 0.5× 14 0.2× 16 0.2× 12 387
M Granzow Germany 12 182 0.9× 77 0.5× 143 1.2× 32 0.4× 14 0.2× 13 760
Corinne A. Schuyler United States 8 66 0.3× 31 0.2× 45 0.4× 170 1.9× 72 0.8× 8 377
Nathalie Delalleau France 10 313 1.5× 96 0.6× 623 5.2× 28 0.3× 10 0.1× 19 901

Countries citing papers authored by Judit Berta

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Judit Berta

This figure shows the co-authorship network connecting the top 25 collaborators of Judit Berta. A scholar is included among the top collaborators of Judit Berta 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 Judit Berta. Judit Berta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Fülöp, Andrea, Jeovanis Gil, Anita Rózsás, et al.. (2024). Machine Learning-enhanced X-ray-based Radiomics in the Identification of Post-COVID Patients. Archivos de Bronconeumología. 61(4). 232–234.
2.
Bogos, Krisztina, Judit Berta, Mária Szilasi, et al.. (2023). A COVID–19-járvány hatása a leggyakoribb légzőszervi megbetegedések lefolyására. Orvosi Hetilap. 164(2). 51–56. 4 indexed citations
3.
Seelbinder, Bastian, Zoltán Lohinai, Ruben Vazquez-Uribe, et al.. (2023). Candida expansion in the gut of lung cancer patients associates with an ecological signature that supports growth under dysbiotic conditions. Nature Communications. 14(1). 2673–2673. 26 indexed citations
4.
Dóra, Dávid, Glen J. Weiss, Zsolt Megyesfalvi, et al.. (2023). Computed Tomography-Based Quantitative Texture Analysis and Gut Microbial Community Signatures Predict Survival in Non-Small Cell Lung Cancer. Cancers. 15(20). 5091–5091. 8 indexed citations
5.
Megyesfalvi, Zsolt, János Fillinger, Orsolya Pipek, et al.. (2023). Comparative expression analysis of immune-related markers in surgically resected lung neuroendocrine neoplasms. Lung Cancer. 181. 107263–107263. 4 indexed citations
6.
Berta, Judit, Anita Rózsás, Zsolt Megyesfalvi, Gyula Ostoros, & Balázs Döme. (2022). Thoracic irradiation as consolidation therapy in patients with extensive-stage small cell lung cancer. Current Opinion in Oncology. 35(1). 54–60. 4 indexed citations
7.
Seelbinder, Bastian, Yueqiong Ni, János Tamás Varga, et al.. (2021). Gut microbiome functionality might be associated with exercise tolerance and recurrence of resected early-stage lung cancer patients. PLoS ONE. 16(11). e0259898–e0259898. 15 indexed citations
8.
Ni, Yueqiong, Zoltán Lohinai, Yoshitaro Heshiki, et al.. (2021). Distinct composition and metabolic functions of human gut microbiota are associated with cachexia in lung cancer patients. The ISME Journal. 15(11). 3207–3220. 86 indexed citations
9.
Berta, Judit, Szilvia Török, József Tóvári, et al.. (2021). Apelin promotes blood and lymph vessel formation and the growth of melanoma lung metastasis. Scientific Reports. 11(1). 5798–5798. 23 indexed citations
10.
Megyesfalvi, Zsolt, Edina Bugyik, Sándor Paku, et al.. (2020). [Heterogeneity of small cell lung cancer: biological and clinicopathological implications].. PubMed. 64(3). 243–255. 1 indexed citations
11.
Berta, Judit, Viktória László, Balázs Hegedűs, et al.. (2020). [Therapeutic possibilities in KRAS-mutant lung adenocarcinoma].. PubMed. 64(3). 231–244.
12.
Berta, Judit, et al.. (2018). Szocializáció gyermek- és serdülőkorban. Akadémiai Kiadó eBooks.
13.
Hoda, Mir Alireza, Anita Rózsás, Elisabeth Lang, et al.. (2016). High circulating activin A level is associated with tumor progression and predicts poor prognosis in lung adenocarcinoma. Oncotarget. 7(12). 13388–13399. 46 indexed citations
14.
Berta, Judit, Mir Alireza Hoda, Viktória László, et al.. (2014). Apelin promotes lymphangiogenesis and lymph node metastasis. Oncotarget. 5(12). 4426–4437. 75 indexed citations
15.
Rózsás, Anita, Judit Berta, István Kenessey, et al.. (2013). Erythropoietin Receptor Expression Is a Potential Prognostic Factor in Human Lung Adenocarcinoma. PLoS ONE. 8(10). e77459–e77459. 17 indexed citations
16.
Hoda, Mir Alireza, Amir I. Mohamed, Bahil Ghanim, et al.. (2011). Temsirolimus Inhibits Malignant Pleural Mesothelioma Growth In Vitro and In Vivo: Synergism with Chemotherapy. Journal of Thoracic Oncology. 6(5). 852–863. 34 indexed citations
17.
Berta, Judit, István Kenessey, Judit Dobos, et al.. (2010). Apelin Expression in Human Non-small Cell Lung Cancer: Role in Angiogenesis and Prognosis. Journal of Thoracic Oncology. 5(8). 1120–1129. 106 indexed citations
18.
Kenessey, István, Zachary Kramer, Judit Berta, et al.. (2010). Inhibition of c-Met with the Specific Small Molecule Tyrosine Kinase Inhibitor SU11274 Decreases Growth and Metastasis Formation of Experimental Human Melanoma. Current Cancer Drug Targets. 10(3). 332–342. 26 indexed citations
19.
Berta, Judit, et al.. (1985). Eosinophils during developing periodontal disease of rats. Journal of Periodontal Research. 20(5). 467–474. 4 indexed citations

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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