Ádám Nagy
- Molecular Biology top 2%
- Cancer Research top 1%
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 2%
- Immunology top 5%
- Co-authors
- Balázs GyőrffyAndrás LánczkyOtília MenyhártGyöngyi MunkácsyAndrás SzabóLibero SantarpiaGiulia BottaiRita A. Busuttil
- Topics
- Cancer Genomics and Diagnostics (4 papers)Cancer Immunotherapy and Biomarkers (3 papers)Ferroptosis and cancer prognosis (3 papers)
- Partner nations
- HungaryItalyUnited States
In The Last Decade
Ádám Nagy
27 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 2.8k
- Cancer Research 1.5k
- Oncology 1000
- Pulmonary and Respiratory Medicine 980
- Immunology 542
Countries citing papers authored by Ádám Nagy
This map shows the geographic impact of Ádám 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 Ádám Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ádám Nagy more than expected).
Fields of papers citing papers by Ádám Nagy
This network shows the impact of papers produced by Ádám 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 Ádám Nagy. The network helps show where Ádám Nagy may publish in the future.
Co-authorship network of co-authors of Ádám Nagy
This figure shows the co-authorship network connecting the top 25 collaborators of Ádám Nagy. A scholar is included among the top collaborators of Ádám 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 Ádám Nagy. Ádám Nagy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | Pancancer survival analysis of cancer hallmark genesbreakdown → | 687 |
| 4 | 16 | |
| 5 | 96 | |
| 6 | 76 | |
| 7 | 25 | |
| 8 | 4 | |
| 9 | 32 | |
| 10 | Validation of miRNA prognostic power in hepatocellular carcinoma using expression data of independent datasetsbreakdown → | 995 |
| 11 | Determining consistent prognostic biomarkers of overall survival and vascular invasion in hepatocellular carcinomabreakdown → | 354 |
| 12 | 3 | |
| 13 | 21 | |
| 14 | miRpower: a web-tool to validate survival-associated miRNAs utilizing expression data from 2178 breast cancer patientsbreakdown → | 585 |
| 15 | [Internet-based opportunities in breast cancer diagnostics and research]. | 1 |
| 16 | 27 | |
| 17 | 43 | |
| 18 | 4 | |
| 19 | 72 | |
| 20 | 29 |
About Ádám Nagy
Ádám Nagy is a scholar working on Cancer Research, Developmental Neuroscience and Molecular Biology, having authored 28 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Ferroptosis and cancer prognosis (3 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (2.8k citations) and Oncology (1000 citations). Ádám Nagy has collaborated with scholars based in Hungary, Italy and United States. Frequent co-authors include Balázs Győrffy, András Lánczky, Otília Menyhárt, Gyöngyi Munkácsy, András Szabó, Libero Santarpia, Giulia Bottai, Rita A. Busuttil, Jeffrey E. Green and Susann Förster. Their work appears in journals such as Journal of Clinical Oncology, Scientific Reports and The FASEB Journal.
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.