Ákos Nagy

807 total citations
32 papers, 447 citations indexed

About

Ákos Nagy is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Ákos Nagy has authored 32 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Pathology and Forensic Medicine and 7 papers in Cancer Research. Recurrent topics in Ákos Nagy's work include Lymphoma Diagnosis and Treatment (7 papers), Cancer Genomics and Diagnostics (5 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Ákos Nagy is often cited by papers focused on Lymphoma Diagnosis and Treatment (7 papers), Cancer Genomics and Diagnostics (5 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Ákos Nagy collaborates with scholars based in Hungary, United States and United Kingdom. Ákos Nagy's co-authors include Gábor Varga, Martin C. Steward, Péter Hegyi, Zsolt Szakács, László Márk Czumbel, Nelli Farkas, Zsolt Lohinai, Szabolcs Kiss, Beáta Kerémi and T Zelles and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Ákos Nagy

30 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ákos Nagy Hungary 11 119 86 70 59 49 32 447
Fengyuan Guo China 11 198 1.7× 140 1.6× 108 1.5× 50 0.8× 17 0.3× 16 554
Kentaro Nakamura Japan 18 62 0.5× 289 3.4× 16 0.2× 62 1.1× 53 1.1× 44 664
Keigo Nakashima Japan 10 30 0.3× 49 0.6× 13 0.2× 15 0.3× 10 0.2× 53 493
Francesco Pettini Italy 13 12 0.1× 87 1.0× 17 0.2× 34 0.6× 47 1.0× 32 518
Chenyu Guan China 12 76 0.6× 132 1.5× 13 0.2× 31 0.5× 27 0.6× 15 348
Simona Rizzi Italy 6 39 0.3× 129 1.5× 5 0.1× 17 0.3× 10 0.2× 6 353
Emilio A. Cafferata Peru 17 13 0.1× 168 2.0× 20 0.3× 46 0.8× 21 0.4× 47 766
Fabio Maglitto Italy 15 28 0.2× 31 0.4× 42 0.6× 153 2.6× 4 0.1× 62 623
Satomi Tanaka Japan 13 26 0.2× 397 4.6× 10 0.1× 21 0.4× 67 1.4× 57 742
Alessandro Meduri Italy 19 40 0.3× 61 0.7× 470 6.7× 32 0.5× 3 0.1× 98 1.1k

Countries citing papers authored by Ákos Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Ákos Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ákos Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Ákos Nagy. A scholar is included among the top collaborators of Ákos Nagy 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 Ákos Nagy. Ákos Nagy 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.
Kovács, Kristóf, Csaba Kerepesi, Lilla Madaras, et al.. (2025). Machine learning prediction of breast cancer local recurrence localization, and distant metastasis after local recurrences. Scientific Reports. 15(1). 4868–4868. 1 indexed citations
2.
Nagy, Ákos, Jacob Househam, Ann‐Marie Baker, et al.. (2024). Profiling of Copy Number Alterations Using Low-Coverage Whole-Genome Sequencing Informs Differential Diagnosis and Prognosis in Primary Cutaneous Follicle Center Lymphoma. Modern Pathology. 37(5). 100465–100465. 4 indexed citations
3.
Kuthi, Levente, et al.. (2023). TRPS1 expression in cytokeratin 5 expressing triple negative breast cancers, its value as a marker of breast origin. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 482(5). 861–868. 6 indexed citations
4.
Nagy, Ákos, Gregory J. Hogan, Jacob J. Chabon, et al.. (2023). Phased Variants Allow Robust Profiling of Circulating Tumor DNA in Untreated Follicular Lymphomas. Blood. 142(Supplement 1). 1626–1626. 1 indexed citations
5.
Herold, Zoltán, Tamás Garay, Magdolna Herold, et al.. (2023). High Tumor-Infiltrating Lymphocyte Count Is Associated with Distinct Gene Expression Profile and Longer Patient Survival in Advanced Ovarian Cancer. International Journal of Molecular Sciences. 24(18). 13684–13684. 3 indexed citations
6.
Pipek, Orsolya, István Csabai, Ákos Nagy, et al.. (2023). Liquid biopsy-based monitoring of residual disease in multiple myeloma by analysis of the rearranged immunoglobulin genes–A feasibility study. PLoS ONE. 18(5). e0285696–e0285696. 4 indexed citations
7.
Krencz, Ildikó, Titanilla Dankó, Ákos Nagy, et al.. (2023). Novel RICTOR amplification harbouring entities: FISH validation of RICTOR amplification in tumour tissue after next-generation sequencing. Scientific Reports. 13(1). 19610–19610. 7 indexed citations
8.
Krenács, Tibor, Ákos Nagy, Attila Gyenesei, et al.. (2021). Modulated Electro-Hyperthermia Induces a Prominent Local Stress Response and Growth Inhibition in Mouse Breast Cancer Isografts. Cancers. 13(7). 1744–1744. 20 indexed citations
9.
Sebestyén, Endre, Ákos Nagy, Hajnalka Rajnai, et al.. (2021). Distinct miRNA Expression Signatures of Primary and Secondary Central Nervous System Lymphomas. Journal of Molecular Diagnostics. 24(3). 224–240. 4 indexed citations
10.
Varga, Gábor, et al.. (2020). Comparative Evaluation of Two Hyaluronic Acid Gel Products for the Treatment of Interdental Papillary Defects. Acta Stomatologica Croatica. 54(3). 227–237. 7 indexed citations
11.
Czumbel, László Márk, Szabolcs Kiss, Nelli Farkas, et al.. (2020). Saliva as a Candidate for COVID-19 Diagnostic Testing: A Meta-Analysis. Frontiers in Medicine. 7. 465–465. 148 indexed citations
12.
Horváth, Judit, et al.. (2020). Validating and assessing the oral health-related quality of life among Hungarian children with cleft lip and palate using Child-OIDP scale. European Archives of Paediatric Dentistry. 22(1). 57–65. 11 indexed citations
13.
Alpár, Donát, Noémi Nagy, Ákos Nagy, et al.. (2019). Dissection of Subclonal Evolution by Temporal Mutation Profiling in Chronic Lymphocytic Leukemia Patients Treated with Ibrutinib. Clinical Lymphoma Myeloma & Leukemia. 19. S279–S279. 3 indexed citations
14.
15.
Füredi, Nóra, Ákos Nagy, Alexandra Mikó, et al.. (2017). Melanocortin 4 receptor ligands modulate energy homeostasis through urocortin 1 neurons of the centrally projecting Edinger-Westphal nucleus. Neuropharmacology. 118. 26–37. 10 indexed citations
16.
Lempel, Edina, et al.. (2012). [Retrospective study of direct composite restorations according to the USPHS criteria].. PubMed. 105(2). 47–52. 3 indexed citations
17.
Nagy, Ákos, et al.. (2009). Bicarbonate Transport by the Human Pancreatic Ductal Cell Line HPAF. Pancreas. 38(8). 913–920. 7 indexed citations
18.
Nagy, Ákos & R Turner. (2007). The membrane integration of a naturally occurring α-helical hairpin. Biochemical and Biophysical Research Communications. 356(2). 392–397. 2 indexed citations
19.
Dehaye, Jean‐Paul, et al.. (2003). Identification of a Functionally Important Conformation-sensitive Region of the Secretory Na+-K+-2Cl− Cotransporter (NKCC1). Journal of Biological Chemistry. 278(14). 11811–11817. 21 indexed citations
20.
Nagy, Ákos, et al.. (2001). Changes of salivary amylase in serum and parotid gland during pharmacological and physiological stimulation. Journal of Physiology-Paris. 95(1-6). 141–145. 18 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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