Lél Eöry
Impact in
- Genetics top 10%
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
- Bacterial Genetics and Biotechnology
- Endocrinology top 10%
Papers in
-
- Genomics and Phylogenetic Studies 7
- RNA and protein synthesis mechanisms 7
- Renal and related cancers 4
- RNA Research and Splicing 2
- Protein Degradation and Inhibitors 1
-
- Renal cell carcinoma treatment 4
- Co-authors
- Peter D. Keightley (3 shared papers)Daniel L. Halligan (3 shared papers)Alan Archibald (4 shared papers)Richard Kuo (5 shared papers)David W. Burt (4 shared papers)Jeffrey W. Mercante (1 shared paper)Tony Romeo (1 shared paper)Paul Babitzke (1 shared paper)
- Journals
- BMC Genomics (3 papers)GigaScience (2 papers)Journal of Visualized Experiments (2 papers)Clinical Cancer Research (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Lél Eöry
18 papers receiving 609 citations
Peers
Comparison fields: 5 of 81
- Genetics 283
- Endocrinology 35
- Molecular Biology 390
- Cancer Research 85
- Aquatic Science 32
Countries citing papers authored by Lél Eöry
This map shows the geographic impact of Lél Eöry'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 Lél Eöry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lél Eöry more than expected).
Fields of papers citing papers by Lél Eöry
This network shows the impact of papers produced by Lél Eöry. 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 Lél Eöry. The network helps show where Lél Eöry may publish in the future.
Co-authors
The 25 scholars most cited alongside Lél Eöry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 106 | |
| 2 | 2007 | 104 | |
| 3 | 2017 | 86 | |
| 4 | 2009 | 79 | |
| 5 | 2013 | 76 | |
| 6 | 2014 | 32 | |
| 7 | 2015 | 29 | |
| 8 | 2015 | 29 | |
| 9 | 2020 | 21 | |
| 10 | 2011 | 15 | |
| 11 | 2013 | 9 | |
| 12 | 2021 | 7 | |
| 13 | 2015 | 6 | |
| 14 | 2020 | 4 | |
| 15 | 2012 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2013 | 2 | |
| 18 | 2025 | 1 |
About Lél Eöry
Lél Eöry is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Genetics and Pathology and Forensic Medicine, having authored 18 papers that have together received 610 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (7 papers), Renal and related cancers (4 papers), Renal cell carcinoma treatment (4 papers), Cancer Genomics and Diagnostics (3 papers), RNA Research and Splicing (2 papers), Protein Degradation and Inhibitors (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Genetics (283 citations), Endocrinology (35 citations), Molecular Biology (390 citations), Cancer Research (85 citations) and Aquatic Science (32 citations). Lél Eöry has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Peter D. Keightley, Daniel L. Halligan, Alan Archibald, Richard Kuo, David W. Burt, Jeffrey W. Mercante, Tony Romeo, Paul Babitzke, Helen Yakhnin and Carol S. Baker. Their work appears in journals such as BMC Genomics, GigaScience, Journal of Visualized Experiments, Clinical Cancer Research and Journal of Clinical Oncology.
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.