Judit Moldvay

2.3k total citations
79 papers, 1.3k citations indexed

About

Judit Moldvay is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Judit Moldvay has authored 79 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Pulmonary and Respiratory Medicine, 46 papers in Oncology and 19 papers in Molecular Biology. Recurrent topics in Judit Moldvay's work include Lung Cancer Treatments and Mutations (38 papers), Lung Cancer Research Studies (17 papers) and Cancer Genomics and Diagnostics (12 papers). Judit Moldvay is often cited by papers focused on Lung Cancer Treatments and Mutations (38 papers), Lung Cancer Research Studies (17 papers) and Cancer Genomics and Diagnostics (12 papers). Judit Moldvay collaborates with scholars based in Hungary, Austria and United States. Judit Moldvay's co-authors include Balázs Döme, József Tı́már, Zoltán Lohinai, Márta Jäckel, Zsuzsa Schaff, Krisztina Bogos, Katalin Fábián, Iván Soltész, Viktória László and Zoltán Szállási and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Judit Moldvay

76 papers receiving 1.3k citations

Peers

Judit Moldvay
Ying Fan China
Jin‐Hyuk Choi South Korea
Sofía Braga Portugal
Tian Du China
Hao‐Wen Sim Australia
Judit Moldvay
Citations per year, relative to Judit Moldvay Judit Moldvay (= 1×) peers Haifeng Qin

Countries citing papers authored by Judit Moldvay

Since Specialization
Citations

This map shows the geographic impact of Judit Moldvay'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 Moldvay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judit Moldvay more than expected).

Fields of papers citing papers by Judit Moldvay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Judit Moldvay. 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 Moldvay. The network helps show where Judit Moldvay may publish in the future.

Co-authorship network of co-authors of Judit Moldvay

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

All Works

20 of 20 papers shown
1.
Schlosser, Gitta, et al.. (2025). Analysis and characterization of chondroitin/dermatan sulfate composition of lung adenocarcinoma tissues with different types of genetic alterations in ALK, EGFR and KRAS oncogenes. Carbohydrate Polymer Technologies and Applications. 10. 100826–100826. 1 indexed citations
2.
Kiss, Ádám, et al.. (2023). Potential Association of Cytochrome P450 Copy Number Alteration in Tumour with Chemotherapy Resistance in Lung Adenocarcinoma Patients. International Journal of Molecular Sciences. 24(17). 13380–13380. 3 indexed citations
3.
Glasz, Tibor, Zoltán Herold, Gábor Tóth, et al.. (2023). Spatially Resolved Proteomic and Transcriptomic Profiling of Anaplastic Lymphoma Kinase-Rearranged Pulmonary Adenocarcinomas Reveals Key Players in Inter- and Intratumoral Heterogeneity. International Journal of Molecular Sciences. 24(14). 11369–11369. 3 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.
Schlosser, Gitta, Judit Moldvay, László Drahos, et al.. (2023). Inter- and intratumoral proteomics and glycosaminoglycan characterization of ALK rearranged lung adenocarcinoma tissues: a pilot study. Scientific Reports. 13(1). 6268–6268. 5 indexed citations
6.
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
7.
Bogos, Krisztina, Zoltán Kiss, Lilla Tamási, et al.. (2021). Improvement in Lung Cancer Survival: 6-Year Trends of Overall Survival at Hungarian Patients Diagnosed in 2011–2016. Pathology & Oncology Research. 27. 603937–603937. 9 indexed citations
9.
Kuras, Magdalena, Yonghyo Kim, Johan Malm, et al.. (2020). Proteomic Workflows for High-Quality Quantitative Proteome and Post-Translational Modification Analysis of Clinically Relevant Samples from Formalin-Fixed Paraffin-Embedded Archives. Journal of Proteome Research. 20(1). 1027–1039. 19 indexed citations
10.
Sihto, Harri, József Tóvári, Lilla Reiniger, et al.. (2020). Prostate‐specific membrane antigen expression in the vasculature of primary lung carcinomas associates with faster metastatic dissemination to the brain. Journal of Cellular and Molecular Medicine. 24(12). 6916–6927. 12 indexed citations
11.
Lohinai, Zoltán, Laura Bonanno, Alberto Pavan, et al.. (2019). Neutrophil–lymphocyte ratio is prognostic in early stage resected small-cell lung cancer. PeerJ. 7. e7232–e7232. 27 indexed citations
12.
Pipek, Orsolya, Rita Lózsa, Dávid Szüts, et al.. (2019). PD-L1 Expression of Lung Cancer Cells, Unlike Infiltrating Immune Cells, Is Stable and Unaffected by Therapy During Brain Metastasis. Clinical Lung Cancer. 20(5). 363–369.e2. 29 indexed citations
13.
Reiniger, Lilla, Katalin Fábián, Orsolya Pipek, et al.. (2018). Chemotherapy treatment is associated with altered PD-L1 expression in lung cancer patients. Journal of Cancer Research and Clinical Oncology. 144(7). 1219–1226. 60 indexed citations
14.
Lohinai, Zoltán, Mir Alireza Hoda, Katalin Fábián, et al.. (2015). Distinct Epidemiology and Clinical Consequence of Classic Versus Rare EGFR Mutations in Lung Adenocarcinoma. Journal of Thoracic Oncology. 10(5). 738–746. 62 indexed citations
15.
Cserepes, Mihály, Gyula Ostoros, Zoltán Lohinai, et al.. (2014). Subtype-specific KRAS mutations in advanced lung adenocarcinoma: A retrospective study of patients treated with platinum-based chemotherapy. European Journal of Cancer. 50(10). 1819–1828. 63 indexed citations
16.
Fábián, Katalin, Judit Pápay, József Furák, et al.. (2014). Decreased ERCC1 Expression After Platinum-Based Neoadjuvant Chemotherapy in non-Small Cell Lung Cancer. Pathology & Oncology Research. 21(2). 423–431. 2 indexed citations
17.
Moldvay, Judit, et al.. (2013). [Analysis of drug therapy of lung cancer in Hungary].. PubMed. 57(1). 33–8. 2 indexed citations
18.
Moldvay, Judit, Tamás Barbai, Krisztina Bogos, et al.. (2013). EGFR Autophosphorylation but Not Protein Score Correlates With Histologic and Molecular Subtypes in Lung Adenocarcinoma. Diagnostic Molecular Pathology. 22(4). 204–209. 1 indexed citations
19.
Moldvay, Judit, Márta Jäckel, Csilla Páska, et al.. (2007). Distinct claudin expression profile in histologic subtypes of lung cancer. Lung Cancer. 57(2). 159–167. 64 indexed citations
20.
Moldvay, Judit, et al.. (1998). P53 Expression in stage I squamous cell lung cancer. Pathology & Oncology Research. 4(1). 8–13. 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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