Balázs Döme

9.1k total citations · 1 hit paper
199 papers, 5.7k citations indexed

About

Balázs Döme is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Balázs Döme has authored 199 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Oncology, 77 papers in Molecular Biology and 73 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Balázs Döme's work include Lung Cancer Research Studies (36 papers), Lung Cancer Treatments and Mutations (29 papers) and Angiogenesis and VEGF in Cancer (22 papers). Balázs Döme is often cited by papers focused on Lung Cancer Research Studies (36 papers), Lung Cancer Treatments and Mutations (29 papers) and Angiogenesis and VEGF in Cancer (22 papers). Balázs Döme collaborates with scholars based in Hungary, Austria and United States. Balázs Döme's co-authors include József Tı́már, Sándor Paku, József Tóvári, Balázs Hegedűs, Viktória László, Walter Klepetko, Gyula Ostoros, F Rényi-Vámos, Mir Alireza Hoda and István Kenessey and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

Balázs Döme

186 papers receiving 5.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Clinical insights into small cell lung cancer: Tumor heterogeneity, diagnosis, therapy, and future directions

2023 179 citations Zsolt Megyesfalvi, Christian Lang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Balázs Döme Hungary	44	2.6k	2.1k	1.4k	1.1k	601	199	5.7k
Nicolás André France	50	4.1k 1.6×	2.8k 1.3×	1.2k 0.9×	1.8k 1.7×	882 1.5×	264	8.6k
Mark A. Watson United States	48	3.4k 1.3×	1.9k 0.9×	1.4k 1.0×	1.7k 1.6×	457 0.8×	129	7.2k
Amit Maity United States	45	3.4k 1.3×	2.7k 1.3×	1.2k 0.9×	1.9k 1.8×	1.0k 1.7×	153	7.2k
John G. Kuhn United States	55	3.8k 1.4×	3.4k 1.6×	1.8k 1.3×	1.4k 1.3×	415 0.7×	188	8.8k
Ying Yang China	41	2.2k 0.8×	1.7k 0.8×	868 0.6×	1.3k 1.2×	502 0.8×	136	5.1k
Athanassios P. Kyritsis United States	48	3.2k 1.2×	2.0k 1.0×	1.5k 1.1×	1.1k 1.0×	412 0.7×	173	7.9k
Arkadiusz Z. Dudek United States	41	3.3k 1.3×	2.8k 1.3×	1.9k 1.4×	939 0.9×	985 1.6×	218	7.3k
Michael W. Epperly United States	47	3.6k 1.4×	1.1k 0.5×	1.8k 1.3×	1.2k 1.1×	524 0.9×	250	7.8k
Xishan Hao China	40	2.6k 1.0×	1.6k 0.8×	1.0k 0.7×	1.6k 1.5×	755 1.3×	150	5.1k
Niramol Savaraj United States	47	3.2k 1.2×	2.4k 1.1×	741 0.5×	1.7k 1.6×	459 0.8×	211	6.9k

Countries citing papers authored by Balázs Döme

Since Specialization

Citations

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

Fields of papers citing papers by Balázs Döme

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Balázs Döme

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

All Works

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20 of 20 papers shown

Pipek, Orsolya, János Fillinger, Krisztina Bogos, et al.. (2025). Diagnostic and prognostic relevance of inflammatory markers in surgically treated thymic epithelial tumors: An international multicenter study. Lung Cancer. 200. 108111–108111.

Schelch, Karin, Dominik Kirchhofer, Gerald Timelthaler, et al.. (2025). Inhibition of YB-1 phosphorylation enhances cisplatin activity and disrupts cell division in pleural mesothelioma. British Journal of Cancer. 133(9). 1391–1400.

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.

Slany, Astrid, Christine Pirker, Johanna C. Mader, et al.. (2023). Mesothelioma-associated fibroblasts enhance proliferation and migration of pleural mesothelioma cells via c-Met/PI3K and WNT signaling but do not protect against cisplatin. Journal of Experimental & Clinical Cancer Research. 42(1). 27–27. 13 indexed citations

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

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

Slany, Astrid, Christine Pirker, Johanna C. Mader, et al.. (2023). Primary and hTERT-Transduced Mesothelioma-Associated Fibroblasts but Not Primary or hTERT-Transduced Mesothelial Cells Stimulate Growth of Human Mesothelioma Cells. Cells. 12(15). 2006–2006. 2 indexed citations

Boettiger, Kristiina, Ildikó Kovács, Christian Lang, et al.. (2023). Entinostat Enhances the Efficacy of Chemotherapy in Small Cell Lung Cancer Through S-phase Arrest and Decreased Base Excision Repair. Clinical Cancer Research. 29(22). 4644–4659. 15 indexed citations

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

10.

Dóra, Dávid, Christopher J. Rivard, Hui Yu, et al.. (2021). Characterization of Tumor-Associated Macrophages and the Immune Microenvironment in Limited-Stage Neuroendocrine-High and -Low Small Cell Lung Cancer. Biology. 10(6). 502–502. 27 indexed citations

11.

Hegedüs, Luca, Elisabeth Livingstone, Ildikó Kovács, et al.. (2021). Allosteric and ATP-Competitive MEK-Inhibition in a Novel Spitzoid Melanoma Model with a RAF- and Phosphorylation-Independent Mutation. Cancers. 13(4). 829–829. 4 indexed citations

12.

Szász, Marcell A., et al.. (2020). Profiling the Protein Targets of Unmodified Bio‐Active Molecules with Drug Affinity Responsive Target Stability and Liquid Chromatography/Tandem Mass Spectrometry. PROTEOMICS. 20(9). e1900325–e1900325. 31 indexed citations

13.

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

14.

László, Viktória, Ildikó Kovács, Mir Alireza Hoda, et al.. (2018). Nintedanib Is Active in Malignant Pleural Mesothelioma Cell Models and Inhibits Angiogenesis and Tumor Growth In Vivo. Clinical Cancer Research. 24(15). 3729–3740. 25 indexed citations

15.

Saghafi, Saiedeh, Klaus Becker, Christian Hahn, et al.. (2018). Reshaping a multimode laser beam into a constructed Gaussian beam for generating a thin light sheet. Journal of Biophotonics. 11(6). e201700213–e201700213. 5 indexed citations

16.

Ghanim, Bahil, Pietro Bertoglio, Ali Çelik, et al.. (2017). Intrathoracic solitary fibrous tumor – an international multicenter study on clinical outcome and novel circulating biomarkers. Scientific Reports. 7(1). 12557–12557. 11 indexed citations

17.

Klikovits, Thomas, Paul Stockhammer, Viktória László, et al.. (2017). Circulating complement component 4d (C4d) correlates with tumor volume, chemotherapeutic response and survival in patients with malignant pleural mesothelioma. Scientific Reports. 7(1). 16456–16456. 20 indexed citations

18.

Hoda, Mir Alireza, Christine Pirker, Karin Schelch, et al.. (2016). Trabectedin Is Active against Malignant Pleural Mesothelioma Cell and Xenograft Models and Synergizes with Chemotherapy and Bcl-2 Inhibition In Vitro. Molecular Cancer Therapeutics. 15(10). 2357–2369. 17 indexed citations

19.

Heller, Gerwin, Valerie Babinsky, Barbara Ziegler, et al.. (2012). Genome-Wide miRNA Expression Profiling Identifies miR - 9 - 3 and miR - 193a as Targets for DNA Methylation in Non–Small Cell Lung Cancers. Clinical Cancer Research. 18(6). 1619–1629. 128 indexed citations

20.

Szabó, Balázs, István Kenessey, István Peták, et al.. (2011). Clinical significance of genetic alterations and expression of epidermal growth factor receptor (EGFR) in head and neck squamous cell carcinomas. Oral Oncology. 47(6). 487–496. 74 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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