Mária Harmati

578 total citations
18 papers, 357 citations indexed

About

Mária Harmati is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Mária Harmati has authored 18 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Biomedical Engineering. Recurrent topics in Mária Harmati's work include Extracellular vesicles in disease (8 papers), MicroRNA in disease regulation (8 papers) and Cell Image Analysis Techniques (5 papers). Mária Harmati is often cited by papers focused on Extracellular vesicles in disease (8 papers), MicroRNA in disease regulation (8 papers) and Cell Image Analysis Techniques (5 papers). Mária Harmati collaborates with scholars based in Hungary, Finland and Italy. Mária Harmati's co-authors include Krisztina Buzás, Edina Gyukity-Sebestyén, Gabriella Dobra, Péter Horváth, Tamás Bı́ró, Okay Saydam, László Janovák, Imre Dékány, Krisztián Koós and István Nagy and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Mária Harmati

18 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mária Harmati Hungary 12 222 129 80 36 31 18 357
Natalia Ortiz Costa Rica 9 245 1.1× 129 1.0× 104 1.3× 7 0.2× 58 1.9× 14 418
Shujuan Lai China 13 307 1.4× 37 0.3× 55 0.7× 25 0.7× 75 2.4× 16 449
Chao Xia China 12 184 0.8× 51 0.4× 38 0.5× 7 0.2× 24 0.8× 23 343
Dezhi Li China 12 249 1.1× 199 1.5× 128 1.6× 58 1.6× 77 2.5× 25 560
Anna‐Kaarina Järvinen Finland 7 318 1.4× 49 0.4× 30 0.4× 21 0.6× 41 1.3× 8 482
Jorge Luis Galeano Niño Australia 6 347 1.6× 72 0.6× 83 1.0× 19 0.5× 211 6.8× 8 583
Alison Taylor United Kingdom 3 316 1.4× 68 0.5× 74 0.9× 11 0.3× 196 6.3× 6 543
Hanrui Wu South Africa 3 328 1.5× 73 0.6× 74 0.9× 11 0.3× 204 6.6× 5 539
Jianru Yang China 10 254 1.1× 111 0.9× 90 1.1× 29 0.8× 20 0.6× 20 345
Andrew King United States 7 147 0.7× 37 0.3× 144 1.8× 8 0.2× 36 1.2× 14 343

Countries citing papers authored by Mária Harmati

Since Specialization
Citations

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

Fields of papers citing papers by Mária Harmati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mária Harmati

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

All Works

18 of 18 papers shown
1.
Tóth, Tímea, Mária Harmati, István Grexa, et al.. (2025). HCS-3DX, a next-generation AI-driven automated 3D-oid high-content screening system. Nature Communications. 16(1). 8897–8897. 1 indexed citations
2.
Piccinini, Filippo, Gabriella Dobra, Gastone Castellani, et al.. (2025). Single-cell light-sheet fluorescence 3D images of tumour-stroma spheroid multicultures. Scientific Data. 12(1). 492–492. 3 indexed citations
3.
Dobra, Gabriella, Edina Gyukity-Sebestyén, Mária Harmati, et al.. (2023). MMP-9 as Prognostic Marker for Brain Tumours: A Comparative Study on Serum-Derived Small Extracellular Vesicles. Cancers. 15(3). 712–712. 18 indexed citations
4.
Dobra, Gabriella, Edina Gyukity-Sebestyén, David G. Meckes, et al.. (2023). Machine learning-based analysis of cancer cell-derived vesicular proteins revealed significant tumor-specificity and predictive potential of extracellular vesicles for cell invasion and proliferation – A meta-analysis. Cell Communication and Signaling. 21(1). 333–333. 6 indexed citations
5.
Dobra, Gabriella, Edina Gyukity-Sebestyén, Éva Hunyadi‐Gulyás, et al.. (2023). Impact of Experimental Conditions on Extracellular Vesicles’ Proteome: A Comparative Study. Life. 13(1). 206–206. 7 indexed citations
6.
Harmati, Mária, et al.. (2021). The role of the metabolite cargo of extracellular vesicles in tumor progression. Cancer and Metastasis Reviews. 40(4). 1203–1221. 37 indexed citations
7.
Kovács, Mária, Tímea Tóth, Mária Harmati, et al.. (2021). Cell lines and clearing approaches: a single-cell level 3D light-sheet fluorescence microscopy dataset of multicellular spheroids. SHILAP Revista de lepidopterología. 36. 107090–107090. 9 indexed citations
8.
Kovács, Mária, Tímea Tóth, Mária Harmati, et al.. (2021). A quantitative metric for the comparative evaluation of optical clearing protocols for 3D multicellular spheroids. Computational and Structural Biotechnology Journal. 19. 1233–1243. 8 indexed citations
9.
Grexa, István, Mária Harmati, András Kriston, et al.. (2021). SpheroidPicker for automated 3D cell culture manipulation using deep learning. Scientific Reports. 11(1). 14813–14813. 28 indexed citations
10.
Dobra, Gabriella, Juan Fernando Gómez-Pérez, Krisztián Koós, et al.. (2021). Raman Spectral Signatures of Serum-Derived Extracellular Vesicle-Enriched Isolates May Support the Diagnosis of CNS Tumors. Cancers. 13(6). 1407–1407. 21 indexed citations
11.
Tiricz, Hilda, Éva Klement, Rui M. Lima, et al.. (2020). Potent Chimeric Antimicrobial Derivatives of the Medicago truncatula NCR247 Symbiotic Peptide. Frontiers in Microbiology. 11. 270–270. 20 indexed citations
12.
Dobra, Gabriella, Zoltán Szabó, Mária Harmati, et al.. (2020). Small Extracellular Vesicles Isolated from Serum May Serve as Signal-Enhancers for the Monitoring of CNS Tumors. International Journal of Molecular Sciences. 21(15). 5359–5359. 29 indexed citations
13.
Harmati, Mária, Edina Gyukity-Sebestyén, Gabriella Dobra, et al.. (2019). Small extracellular vesicles convey the stress-induced adaptive responses of melanoma cells. Scientific Reports. 9(1). 15329–15329. 62 indexed citations
14.
Terhes, Gabriella, et al.. (2019). Human Pasteurellosis Health Risk for Elderly Persons Living with Companion Animals. Emerging infectious diseases. 25(2). 229–235. 15 indexed citations
15.
Sóki, József, Bernadett Pap, Gabriella Dobra, et al.. (2018). Chicken or the Egg: Microbial Alterations in Biopsy Samples of Patients with Oral Potentially Malignant Disorders. Pathology & Oncology Research. 25(3). 1023–1033. 20 indexed citations
16.
Farkas, Balázs, Gaser N. Abdelrasoul, Edina Gyukity-Sebestyén, et al.. (2016). Gold nanoparticle-filled biodegradable photopolymer scaffolds induced muscle remodeling: in vitro and in vivo findings. Materials Science and Engineering C. 72. 625–630. 11 indexed citations
17.
Harmati, Mária, Zsolt Szegletes, László Janovák, et al.. (2016). Stressors alter intercellular communication and exosome profile of nasopharyngeal carcinoma cells. Journal of Oral Pathology and Medicine. 46(4). 259–266. 45 indexed citations
18.
Harmati, Mária, Edina Gyukity-Sebestyén, Gabriella Dobra, et al.. (2016). Binary mixture of Satureja hortensis and Origanum vulgare subsp. hirtum essential oils: in vivo therapeutic efficiency against Helicobacter pylori infection. Helicobacter. 22(2). 17 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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