Lél Eöry

1.7k total citations
18 papers, 610 citations indexed

About

Lél Eöry is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Lél Eöry has authored 18 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Cancer Research. Recurrent topics in Lél Eöry's work include Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (7 papers) and Renal cell carcinoma treatment (4 papers). Lél Eöry is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (7 papers) and Renal cell carcinoma treatment (4 papers). Lél Eöry collaborates with scholars based in United Kingdom, United States and Australia. Lél Eöry's co-authors include Peter D. Keightley, Daniel L. Halligan, Alan Archibald, Richard Kuo, David W. Burt, Tony Romeo, Helen Yakhnin, Jeffrey W. Mercante, Paul Babitzke and Carol S. Baker and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and Genetics.

In The Last Decade

Lél Eöry

18 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lél Eöry United Kingdom 10 390 283 85 70 59 18 610
Anna Wetterbom Sweden 7 445 1.1× 191 0.7× 98 1.2× 107 1.5× 67 1.1× 7 703
Benjamin Goh Singapore 11 244 0.6× 158 0.6× 42 0.5× 135 1.9× 19 0.3× 20 560
Michael G. Sovic United States 14 225 0.6× 355 1.3× 31 0.4× 120 1.7× 123 2.1× 27 609
Cinta Pegueroles Spain 13 299 0.8× 140 0.5× 121 1.4× 46 0.7× 16 0.3× 29 533
Eleanor Howard United Kingdom 3 551 1.4× 364 1.3× 152 1.8× 98 1.4× 18 0.3× 3 862
Miyako Kodama Denmark 11 198 0.5× 121 0.4× 37 0.4× 37 0.5× 13 0.2× 19 388
Tiange Lang China 11 387 1.0× 154 0.5× 11 0.1× 61 0.9× 23 0.4× 15 705
Zihao Yuan China 18 385 1.0× 222 0.8× 120 1.4× 130 1.9× 46 0.8× 60 916
Russell C. Jones Australia 14 211 0.5× 295 1.0× 23 0.3× 28 0.4× 20 0.3× 23 812
Honggang Zhao United States 16 160 0.4× 107 0.4× 60 0.7× 79 1.1× 55 0.9× 32 598

Countries citing papers authored by Lél Eöry

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Lél Eöry

This figure shows the co-authorship network connecting the top 25 collaborators of Lél Eöry. A scholar is included among the top collaborators of Lél Eöry 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 Lél Eöry. Lél Eöry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Ho, William, Lél Eöry, Alan Archibald, et al.. (2025). Transcriptomic characterisation of acute myeloid leukemia cell lines bearing the same t(9;11) driver mutation reveals different molecular signatures. BMC Genomics. 26(1). 300–300. 1 indexed citations
2.
Peñaloza, Carolina, Alejandro P. Gutiérrez, Lél Eöry, et al.. (2021). A chromosome-level genome assembly for the Pacific oyster Crassostrea gigas. GigaScience. 10(3). 106 indexed citations
3.
Mueller, Ralf, Patrik Ellström, Kerstin Howe, et al.. (2021). A high-quality genome and comparison of short- versus long-read transcriptome of the palaearctic duck Aythya fuligula (tufted duck). GigaScience. 10(12). 7 indexed citations
4.
Summers, Kim, Stephen J. Bush, Chunlei Wu, et al.. (2020). Functional Annotation of the Transcriptome of the Pig, Sus scrofa, Based Upon Network Analysis of an RNAseq Transcriptional Atlas. Frontiers in Genetics. 10. 1355–1355. 21 indexed citations
5.
Mueller, Ralf, Nicolai Mallig, Jacqueline Smith, et al.. (2020). Avian Immunome DB: an example of a user-friendly interface for extracting genetic information. BMC Bioinformatics. 21(1). 502–502. 4 indexed citations
6.
7.
Kuo, Richard, Elizabeth Tseng, Lél Eöry, et al.. (2017). Normalized long read RNA sequencing in chicken reveals transcriptome complexity similar to human. BMC Genomics. 18(1). 323–323. 86 indexed citations
8.
Stewart, Grant D., Fiach C. O’Mahony, Alexander Laird, et al.. (2015). Sunitinib Treatment Exacerbates Intratumoral Heterogeneity in Metastatic Renal Cancer. Clinical Cancer Research. 21(18). 4212–4223. 29 indexed citations
9.
Gheyas, Almas, Clarissa Boschiero, Lél Eöry, et al.. (2015). Functional classification of 15 million SNPs detected from diverse chicken populations. DNA Research. 22(3). 205–217. 29 indexed citations
10.
Boschiero, Clarissa, Almas Gheyas, H. Ralph, et al.. (2015). Detection and characterization of small insertion and deletion genetic variants in modern layer chicken genomes. BMC Genomics. 16(1). 562–562. 6 indexed citations
11.
Stewart, Grant D., Fiach C. O’Mahony, Alexander Laird, et al.. (2014). Carbonic Anhydrase 9 Expression Increases with Vascular Endothelial Growth Factor–Targeted Therapy and Is Predictive of Outcome in Metastatic Clear Cell Renal Cancer. European Urology. 66(5). 956–963. 32 indexed citations
12.
O’Mahony, Fiach C., Jyoti Nanda, Alexander Laird, et al.. (2013). The Use of Reverse Phase Protein Arrays (RPPA) to Explore Protein Expression Variation within Individual Renal Cell Cancers. Journal of Visualized Experiments. 9 indexed citations
13.
Halligan, Daniel L., Athanasios Kousathanas, Rob W. Ness, et al.. (2013). Contributions of Protein-Coding and Regulatory Change to Adaptive Molecular Evolution in Murid Rodents. PLoS Genetics. 9(12). e1003995–e1003995. 76 indexed citations
14.
O’Mahony, Fiach C., Alexander Laird, Peter Mullen, et al.. (2013). The Use of Reverse Phase Protein Arrays (RPPA) to Explore Protein Expression Variation within Individual Renal Cell Cancers. Journal of Visualized Experiments. 2 indexed citations
15.
Stewart, Grant D., Fiach C. O’Mahony, Lél Eöry, et al.. (2012). Proteomic analysis of pre- and post-sunitinib treated renal cancer tissue to assess tumor heterogeneity and differential protein expression.. Journal of Clinical Oncology. 30(5_suppl). 388–388. 2 indexed citations
16.
Keightley, Peter D., Lél Eöry, Daniel L. Halligan, & Mark Kirkpatrick. (2011). Inference of Mutation Parameters and Selective Constraint in Mammalian Coding Sequences by Approximate Bayesian Computation. Genetics. 187(4). 1153–1161. 15 indexed citations
17.
Eöry, Lél, Daniel L. Halligan, & Peter D. Keightley. (2009). Distributions of Selectively Constrained Sites and Deleterious Mutation Rates in the Hominid and Murid Genomes. Molecular Biology and Evolution. 27(1). 177–192. 79 indexed citations
18.
Baker, Carol S., Lél Eöry, Helen Yakhnin, et al.. (2007). CsrA Inhibits Translation Initiation of Escherichia coli hfq by Binding to a Single Site Overlapping the Shine-Dalgarno Sequence. Journal of Bacteriology. 189(15). 5472–5481. 104 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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