Ermira Samara-Kuko

1.5k total citations · 1 hit paper
13 papers, 1.1k citations indexed

About

Ermira Samara-Kuko is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Ermira Samara-Kuko has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Genetics and 2 papers in Surgery. Recurrent topics in Ermira Samara-Kuko's work include Virus-based gene therapy research (8 papers), CRISPR and Genetic Engineering (8 papers) and RNA Interference and Gene Delivery (4 papers). Ermira Samara-Kuko is often cited by papers focused on Virus-based gene therapy research (8 papers), CRISPR and Genetic Engineering (8 papers) and RNA Interference and Gene Delivery (4 papers). Ermira Samara-Kuko collaborates with scholars based in Belgium, United Kingdom and Germany. Ermira Samara-Kuko's co-authors include Marinee Chuah, Thierry VandenDriessche, Janka Mátrai, Abel Acosta‐Sanchez, Ling Ma, Zoltán Ivics, Lajos Mátés, Zsuzsanna Izsvák, Eyayu Belay and Conny Gysemans and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Ermira Samara-Kuko

12 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Molecular evolution of a novel hyperactive Sleeping Beauty transposase enables robust stable gene transfer in vertebrates

2009 706 citations Lajos Mátés, Marinee Chuah et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ermira Samara-Kuko Belgium	10	868	502	198	113	85	13	1.1k
Eyayu Belay Belgium	9	910 1.0×	466 0.9×	143 0.7×	157 1.4×	73 0.9×	9	1.1k
Abel Acosta‐Sanchez Belgium	7	882 1.0×	560 1.1×	192 1.0×	109 1.0×	152 1.8×	8	1.2k
Dawid P. Grzela Poland	9	779 0.9×	333 0.7×	131 0.7×	145 1.3×	68 0.8×	11	946
Namitha Manoj United States	3	630 0.7×	291 0.6×	160 0.8×	101 0.9×	63 0.7×	5	842
Meng Amy Li United Kingdom	12	1.4k 1.6×	423 0.8×	117 0.6×	201 1.8×	65 0.8×	12	1.5k
Jenna Persson Sweden	9	1.2k 1.3×	291 0.6×	166 0.8×	130 1.2×	41 0.5×	10	1.2k
Emma Haapaniemi Finland	4	829 1.0×	260 0.5×	146 0.7×	42 0.4×	87 1.0×	6	934
Jon P. Connelly United States	15	1.1k 1.3×	369 0.7×	144 0.7×	61 0.5×	264 3.1×	29	1.4k
Adrian Schwarzer Germany	17	855 1.0×	460 0.9×	346 1.7×	33 0.3×	218 2.6×	44	1.2k
Helen Impey Australia	9	815 0.9×	256 0.5×	126 0.6×	124 1.1×	43 0.5×	12	1.1k

Countries citing papers authored by Ermira Samara-Kuko

Since Specialization

Citations

This map shows the geographic impact of Ermira Samara-Kuko'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 Ermira Samara-Kuko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ermira Samara-Kuko more than expected).

Fields of papers citing papers by Ermira Samara-Kuko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ermira Samara-Kuko. 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 Ermira Samara-Kuko. The network helps show where Ermira Samara-Kuko may publish in the future.

Co-authorship network of co-authors of Ermira Samara-Kuko

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

All Works

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13 of 13 papers shown

Samara-Kuko, Ermira, et al.. (2025). Long-Term Functional Correction of Pompe Disease and Increased α-Glucosidase Expression after Gene Therapy with Novel Combinations of Muscle-Targeted Transcriptional Cis -Regulatory Elements. Human Gene Therapy. 36(21-22). 1423–1440.

Tipanee, Jaitip, Ermira Samara-Kuko, Thierry Gevaert, Marinee Chuah, & Thierry VandenDriessche. (2022). Universal allogeneic CAR T cells engineered with Sleeping Beauty transposons and CRISPR-CAS9 for cancer immunotherapy. Molecular Therapy. 30(10). 3155–3175. 45 indexed citations

Tipanee, Jaitip, Mario Di Matteo, Warut Tulalamba, et al.. (2020). Validation of miR-20a as a Tumor Suppressor Gene in Liver Carcinoma Using Hepatocyte-Specific Hyperactive piggyBac Transposons. Molecular Therapy — Nucleic Acids. 19. 1309–1329. 10 indexed citations

Sarcar, Shilpita, Warut Tulalamba, Melvin Y. Rincón, et al.. (2019). Next-generation muscle-directed gene therapy by in silico vector design. Nature Communications. 10(1). 492–492. 43 indexed citations

Singh, Kshitiz, Hanneke Evens, Nisha Nair, et al.. (2018). Efficient In Vivo Liver-Directed Gene Editing Using CRISPR/Cas9. Molecular Therapy. 26(5). 1241–1254. 44 indexed citations

Loperfido, Mariana, Susan Jarmin, Sumitava Dastidar, et al.. (2015). piggyBactransposons expressing full-length human dystrophin enable genetic correction of dystrophic mesoangioblasts. Nucleic Acids Research. 44(2). 744–760. 18 indexed citations

Rincón, Melvin Y., Shilpita Sarcar, Dina Danso‐Abeam, et al.. (2014). Genome-wide Computational Analysis Reveals Cardiomyocyte-specific Transcriptional Cis-regulatory Motifs That Enable Efficient Cardiac Gene Therapy. Molecular Therapy. 23(1). 43–52. 33 indexed citations

Mátrai, Janka, Alessio Cantore, Cynthia C. Bartholomae, et al.. (2011). Hepatocyte-targeted expression by integrase-defective lentiviral vectors induces antigen-specific tolerance in mice with low genotoxic risk. Hepatology. 53(5). 1696–1707. 111 indexed citations

Belay, Eyayu, Janka Mátrai, Abel Acosta‐Sanchez, et al.. (2010). Novel Hyperactive Transposons for Genetic Modification of Induced Pluripotent and Adult Stem Cells: A Non-Viral Paradigm for Coaxed Differentiation. Molecular Therapy. 17 indexed citations

10.

Belay, Eyayu, Janka Mátrai, Abel Acosta‐Sanchez, et al.. (2010). Novel Hyperactive Transposons for Genetic Modification of Induced Pluripotent and Adult Stem Cells: A Nonviral Paradigm for Coaxed Differentiation . Stem Cells. 28(10). 1760–1771. 39 indexed citations

11.

Mátrai, Janka, Marinee Chuah, Alessio Cantore, et al.. (2009). Sustained therapeutic factor IX expression in liver using integration-deficient lentiviral vectors.. Human Gene Therapy. 20. 1409–1409. 1 indexed citations

12.

Mátés, Lajos, Marinee Chuah, Eyayu Belay, et al.. (2009). Molecular evolution of a novel hyperactive Sleeping Beauty transposase enables robust stable gene transfer in vertebrates. Nature Genetics. 41(6). 753–761. 706 indexed citations breakdown →

13.

Chuah, Marinee, Bing Yan, Pieter De Bleser, et al.. (2008). Combinations of hepatocyte-specific transcription factor binding sites identified de novo using a novel bioinformatics algorithm yield robust liver-specific expression. Human Gene Therapy. 19(10). 1077–1078. 1 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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