Attila Nagy
- Molecular Biology top 5%
- Oncology top 2%
- Epidemiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Genetics top 5%
- Co-authors
- Andrew V. SchallyGábor HalmosKároly SzepesháziPatricia ArmatisGyörgy B. HalmosArtur PłonowskiKate GrootMagdolna Kovács
- Topics
- Neuroendocrine Tumor Research Advances (28 papers)Lung Cancer Research Studies (19 papers)Estrogen and related hormone effects (17 papers)
- Journals
- Proceedings of the National Academy of SciencesThe LancetJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesHungaryGermany
In The Last Decade
Attila Nagy
76 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.4k
- Oncology 1.3k
- Epidemiology 920
- Endocrinology, Diabetes and Metabolism 648
- Genetics 642
Countries citing papers authored by Attila Nagy
This map shows the geographic impact of Attila 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 Attila Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Attila Nagy more than expected).
Fields of papers citing papers by Attila Nagy
This network shows the impact of papers produced by Attila 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 Attila Nagy. The network helps show where Attila Nagy may publish in the future.
Co-authorship network of co-authors of Attila Nagy
This figure shows the co-authorship network connecting the top 25 collaborators of Attila Nagy. A scholar is included among the top collaborators of Attila 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 Attila Nagy. Attila 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 | 22 | |
| 2 | 15 | |
| 3 | 32 | |
| 4 | 7 | |
| 5 | 19 | |
| 6 | 21 | |
| 7 | 9 | |
| 8 | 112 | |
| 9 | 22 | |
| 10 | Targeted doxorubicin-containing luteinizing hormone-releasing hormone analogue AN-152 inhibits the growth of doxorubicin-resistant MX-1 human breast cancers. | 45 |
| 11 | 32 | |
| 12 | 23 | |
| 13 | 159 | |
| 14 | 17 | |
| 15 | 42 | |
| 16 | 26 | |
| 17 | 21 | |
| 18 | 10 | |
| 19 | 18 | |
| 20 | 29 |
About Attila Nagy
Attila Nagy is a scholar working on Reproductive Medicine, Biophysics and Oncology, having authored 78 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (28 papers), Lung Cancer Research Studies (19 papers) and Estrogen and related hormone effects (17 papers). The work is most often cited by research in Reproductive Medicine (573 citations), Oncology (1.3k citations) and Endocrinology, Diabetes and Metabolism (648 citations). Attila Nagy has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Andrew V. Schally, Gábor Halmos, Károly Szepesházi, Patricia Armatis, György B. Halmos, Artur Płonowski, Kate Groot, Magdolna Kovács, Baodong Sun and Zoltán Rékási. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and JNCI Journal of the National Cancer Institute.
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.