Attila Patócs
- Molecular Biology top 5%
- Cancer Research top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 2%
- Oncology top 5%
- Co-authors
- Kàroly RáczHenriett ButzPéter IgazChristos ChinopoulosLászló TretterMiklós TóthLászló HunyadyCharis Eng
- Topics
- Adrenal and Paraganglionic Tumors (48 papers)Cancer, Hypoxia, and Metabolism (43 papers)Hormonal Regulation and Hypertension (38 papers)
- Partner nations
- HungaryUnited StatesUnited Kingdom
In The Last Decade
Attila Patócs
225 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 2.0k
- Cancer Research 1.7k
- Endocrinology, Diabetes and Metabolism 1.4k
- Surgery 1.2k
- Oncology 708
Countries citing papers authored by Attila Patócs
This map shows the geographic impact of Attila Patócs'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 Patócs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Attila Patócs more than expected).
Fields of papers citing papers by Attila Patócs
This network shows the impact of papers produced by Attila Patócs. 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 Patócs. The network helps show where Attila Patócs may publish in the future.
Co-authorship network of co-authors of Attila Patócs
This figure shows the co-authorship network connecting the top 25 collaborators of Attila Patócs. A scholar is included among the top collaborators of Attila Patócs 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 Patócs. Attila Patócs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 17 | |
| 10 | 9 | |
| 11 | 18 | |
| 12 | 4 | |
| 13 | 19 | |
| 14 | 20 | |
| 15 | 13 | |
| 16 | 10 | |
| 17 | 12 | |
| 18 | Succinate, an intermediate in metabolism, signal transduction, ROS, hypoxia, and tumorigenesisbreakdown → | 403 |
| 19 | 9 | |
| 20 | [Diagnosis and treatment outcome in primary aldosteronism based on a retrospective analysis of 187 cases]. | 1 |
About Attila Patócs
Attila Patócs is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Genetics, having authored 236 papers that have together received 4.7k indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (48 papers), Cancer, Hypoxia, and Metabolism (43 papers) and Hormonal Regulation and Hypertension (38 papers). The work is most often cited by research in Cancer Research (1.7k citations), Endocrinology, Diabetes and Metabolism (1.4k citations) and Molecular Biology (2.0k citations). Attila Patócs has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Kàroly Rácz, Henriett Butz, Péter Igaz, Christos Chinopoulos, László Tretter, Miklós Tóth, László Hunyady, Charis Eng, István Likó and Péter M. Szabó. Their work appears in journals such as New England Journal of Medicine, JAMA and PLoS ONE.
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.