Nóra Kucsma

615 total citations
27 papers, 486 citations indexed

About

Nóra Kucsma is a scholar working on Oncology, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Nóra Kucsma has authored 27 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 13 papers in Molecular Biology and 5 papers in Nutrition and Dietetics. Recurrent topics in Nóra Kucsma's work include Drug Transport and Resistance Mechanisms (14 papers), Trace Elements in Health (5 papers) and Mass Spectrometry Techniques and Applications (5 papers). Nóra Kucsma is often cited by papers focused on Drug Transport and Resistance Mechanisms (14 papers), Trace Elements in Health (5 papers) and Mass Spectrometry Techniques and Applications (5 papers). Nóra Kucsma collaborates with scholars based in Hungary, Austria and United Kingdom. Nóra Kucsma's co-authors include Gergely Szakács, György Várady, Katalin Kiss, Anna Brózik, Csilla Özvegy‐Laczka, Éva Bakos, József Tóvári, Szilárd Tóth, Michel Vidal and Laurence Berry and has published in prestigious journals such as PLoS ONE, Journal of Molecular Biology and Analytical Chemistry.

In The Last Decade

Nóra Kucsma

26 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nóra Kucsma Hungary 14 252 207 58 58 47 27 486
Kazumi Sano Japan 12 386 1.5× 301 1.5× 94 1.6× 33 0.6× 36 0.8× 29 585
Archie Thurston United States 12 124 0.5× 166 0.8× 47 0.8× 18 0.3× 18 0.4× 18 496
Junichi Enokizono Japan 12 335 1.3× 291 1.4× 155 2.7× 54 0.9× 13 0.3× 20 667
Fabienne Z. Gaugaz Sweden 7 157 0.6× 212 1.0× 63 1.1× 9 0.2× 74 1.6× 13 471
Dóra Türk Hungary 9 226 0.9× 145 0.7× 21 0.4× 35 0.6× 10 0.2× 11 327
C D Schteingart United States 18 534 2.1× 187 0.9× 124 2.1× 64 1.1× 25 0.5× 31 824
Daniel Corsiero France 10 297 1.2× 156 0.8× 81 1.4× 39 0.7× 7 0.1× 11 449
Yolanda Romsicki Canada 10 487 1.9× 400 1.9× 147 2.5× 49 0.8× 23 0.5× 11 697
Judit Cserepes Hungary 7 472 1.9× 416 2.0× 78 1.3× 51 0.9× 6 0.1× 10 786
Wei Duan China 7 253 1.0× 174 0.8× 76 1.3× 33 0.6× 8 0.2× 20 471

Countries citing papers authored by Nóra Kucsma

Since Specialization
Citations

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

Fields of papers citing papers by Nóra Kucsma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nóra Kucsma

This figure shows the co-authorship network connecting the top 25 collaborators of Nóra Kucsma. A scholar is included among the top collaborators of Nóra Kucsma 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 Nóra Kucsma. Nóra Kucsma 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.
Molnár, Adrienn, Nóra Kucsma, James S. McKenzie, et al.. (2024). Characterisation of Canine and Feline Breast Tumours, Their Metastases, and Corresponding Primary Cell Lines Using LA-REIMS and DESI-MS Imaging. International Journal of Molecular Sciences. 25(14). 7752–7752. 4 indexed citations
2.
Kucsma, Nóra, Balázs Bohár, Botond Literáti-Nagy, et al.. (2022). Genetic Modulation of the GLUT1 Transporter Expression—Potential Relevance in Complex Diseases. Biology. 11(11). 1669–1669. 2 indexed citations
3.
Bakos, Éva, Nóra Kucsma, Natália Tőkési, et al.. (2022). Cloning and characterization of a novel functional organic anion transporting polypeptide 3A1 isoform highly expressed in the human brain and testis. Frontiers in Pharmacology. 13. 958023–958023. 8 indexed citations
4.
Szabó, Edit, et al.. (2022). Selective Fluorescent Probes for High-Throughput Functional Diagnostics of the Human Multidrug Transporter P-Glycoprotein (ABCB1). International Journal of Molecular Sciences. 23(18). 10599–10599. 1 indexed citations
5.
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Kudlik, Gyöngyi, Kornélia Szebényi, Nóra Kucsma, et al.. (2020). Establishment and Characterization of a Brca1−/−, p53−/− Mouse Mammary Tumor Cell Line. International Journal of Molecular Sciences. 21(4). 1185–1185. 11 indexed citations
7.
Turiák, Lilla, Julia K. Varga, György Várady, et al.. (2020). Partial proteolysis improves the identification of the extracellular segments of transmembrane proteins by surface biotinylation. Scientific Reports. 10(1). 8880–8880. 3 indexed citations
8.
Cserepes, Mihály, Dóra Türk, Szilárd Tóth, et al.. (2019). Unshielding Multidrug Resistant Cancer through Selective Iron Depletion of P-Glycoprotein–Expressing Cells. Cancer Research. 80(4). 663–674. 29 indexed citations
9.
Kucsma, Nóra, Katalin Kiss, János Barna, et al.. (2019). The human ABCB6 protein is the functional homologue of HMT-1 proteins mediating cadmium detoxification. Cellular and Molecular Life Sciences. 76(20). 4131–4144. 25 indexed citations
10.
Turiák, Lilla, et al.. (2019). Covalently modified carboxyl side chains on cell surface leads to a novel method toward topology analysis of transmembrane proteins. Scientific Reports. 9(1). 15729–15729. 14 indexed citations
11.
Tóth, Szilárd, et al.. (2019). Identification of anticancer OATP2B1 substrates by an in vitro triple-fluorescence-based cytotoxicity screen. Archives of Toxicology. 93(4). 953–964. 25 indexed citations
12.
Bergam, Ptissam, et al.. (2018). ABCB6 Resides in Melanosomes and Regulates Early Steps of Melanogenesis Required for PMEL Amyloid Matrix Formation. Journal of Molecular Biology. 430(20). 3802–3818. 13 indexed citations
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Paku, Sándor, István Kenessey, Tamás Garay, et al.. (2017). Cell type-dependent HIF1 α-mediated effects of hypoxia on proliferation, migration and metastatic potential of human tumor cells. Oncotarget. 8(27). 44498–44510. 25 indexed citations
16.
Füredi, András, Szilárd Tóth, Kornélia Szebényi, et al.. (2016). Identification and Validation of Compounds Selectively Killing Resistant Cancer: Delineating Cell Line–Specific Effects from P-Glycoprotein–Induced Toxicity. Molecular Cancer Therapeutics. 16(1). 45–56. 41 indexed citations
17.
Kiss, Katalin, Nóra Kucsma, Anna Brózik, et al.. (2015). Role of the N-terminal transmembrane domain in the endo-lysosomal targeting and function of the human ABCB6 protein. Biochemical Journal. 467(1). 127–139. 38 indexed citations
18.
Koszarska, Magdalena, Nóra Kucsma, Katalin Kiss, et al.. (2014). Screening the Expression of ABCB6 in Erythrocytes Reveals an Unexpectedly High Frequency of Lan Mutations in Healthy Individuals. PLoS ONE. 9(10). e111590–e111590. 19 indexed citations
19.
Kiss, Katalin, Anna Brózik, Nóra Kucsma, et al.. (2012). Shifting the Paradigm: The Putative Mitochondrial Protein ABCB6 Resides in the Lysosomes of Cells and in the Plasma Membrane of Erythrocytes. PLoS ONE. 7(5). e37378–e37378. 80 indexed citations
20.
Katona, Mária, Katalin Kiss, Nóra Kucsma, et al.. (2009). A mass spectrometry based functional assay for the quantitative assessment of ABC transporter activity. Rapid Communications in Mass Spectrometry. 23(21). 3372–3376. 6 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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