Irina Thiry

636 total citations
9 papers, 508 citations indexed

About

Irina Thiry is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Irina Thiry has authored 9 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Epidemiology. Recurrent topics in Irina Thiry's work include CRISPR and Genetic Engineering (3 papers), Virus-based gene therapy research (3 papers) and RNA Interference and Gene Delivery (3 papers). Irina Thiry is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Virus-based gene therapy research (3 papers) and RNA Interference and Gene Delivery (3 papers). Irina Thiry collaborates with scholars based in Belgium, United States and Germany. Irina Thiry's co-authors include Zeger Debyser, Veerle Baekelandt, Christophe M. Deroose, Chris Van den Haute, Jean‐Marc Taymans, Luk H. Vandenberghe, James M. Wilson, Luc Mortelmans, Rik Gijsbers and Veerle Reumers and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Cell Reports.

In The Last Decade

Irina Thiry

9 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Irina Thiry Belgium 7 339 174 122 58 50 9 508
Ikuri Álvarez-Maya Mexico 8 452 1.3× 132 0.8× 170 1.4× 52 0.9× 48 1.0× 17 756
Soo Kyung Koo South Korea 15 503 1.5× 99 0.6× 129 1.1× 63 1.1× 40 0.8× 28 743
Enni Lehtonen Belgium 7 295 0.9× 259 1.5× 140 1.1× 29 0.5× 26 0.5× 9 450
Margaret J. Velardo United States 3 416 1.2× 315 1.8× 256 2.1× 55 0.9× 34 0.7× 4 704
Kimberly Goodspeed United States 9 442 1.3× 395 2.3× 61 0.5× 54 0.9× 48 1.0× 28 696
Piotr Stawiński Poland 15 514 1.5× 203 1.2× 77 0.6× 37 0.6× 19 0.4× 58 782
Fabio Russo Italy 15 307 0.9× 322 1.9× 66 0.5× 95 1.6× 22 0.4× 25 637
Giridhar Murlidharan United States 7 230 0.7× 194 1.1× 92 0.8× 24 0.4× 26 0.5× 11 375
Irene A. Aligianis United Kingdom 11 321 0.9× 97 0.6× 84 0.7× 90 1.6× 60 1.2× 12 602
Christine N. Kay United States 13 871 2.6× 372 2.1× 131 1.1× 45 0.8× 44 0.9× 45 1.2k

Countries citing papers authored by Irina Thiry

Since Specialization
Citations

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

Fields of papers citing papers by Irina Thiry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irina Thiry. 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 Irina Thiry. The network helps show where Irina Thiry may publish in the future.

Co-authorship network of co-authors of Irina Thiry

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

All Works

9 of 9 papers shown
1.
Handle, Florian, Elien Smeets, Lisa Moris, et al.. (2024). Rational evolution for altering the ligand preference of estrogen receptor alpha. Protein Science. 33(4). e4940–e4940. 1 indexed citations
2.
Looveren, Dominique Van, Giorgia Giacomazzi, Irina Thiry, Maurilio Sampaolesi, & Rik Gijsbers. (2021). Improved functionality and potency of next generation BinMLV viral vectors toward safer gene therapy. Molecular Therapy — Methods & Clinical Development. 23. 51–67. 5 indexed citations
3.
Camps, J., Alejandro Sifrim, Sebastiaan Vanuytven, et al.. (2020). Interstitial Cell Remodeling Promotes Aberrant Adipogenesis in Dystrophic Muscles. Cell Reports. 31(5). 107597–107597. 62 indexed citations
4.
Khodanovich, Marina, А. Е. Акулов, Chris Van den Haute, et al.. (2020). Tissue-Specific Ferritin- and GFP-Based Genetic Vectors Visualize Neurons by MRI in the Intact and Post-Ischemic Rat Brain. International Journal of Molecular Sciences. 21(23). 8951–8951. 6 indexed citations
5.
Looveren, Dominique Van, et al.. (2019). Targeted editing of the PSIP1 gene encoding LEDGF/p75 protects cells against HIV infection. Scientific Reports. 9(1). 2389–2389. 13 indexed citations
6.
Vandeputte, Caroline, Veerle Reumers, Sarah‐Ann Aelvoet, et al.. (2014). Bioluminescence imaging of stroke-induced endogenous neural stem cell response. Neurobiology of Disease. 69. 144–155. 23 indexed citations
7.
Lobbestael, Evy, Veerle Reumers, Abdelilah Ibrahimi, et al.. (2010). Immunohistochemical detection of transgene expression in the brain using small epitope tags. BMC Biotechnology. 10(1). 16–16. 34 indexed citations
8.
Ibrahimi, Abdelilah, Greetje Vande Velde, Veerle Reumers, et al.. (2009). Highly Efficient Multicistronic Lentiviral Vectors with Peptide 2A Sequences. Human Gene Therapy. 20(8). 845–860. 119 indexed citations
9.
Taymans, Jean‐Marc, Luk H. Vandenberghe, Chris Van den Haute, et al.. (2007). Comparative Analysis of Adeno-Associated Viral Vector Serotypes 1, 2, 5, 7, And 8 in Mouse Brain. Human Gene Therapy. 18(3). 195–206. 245 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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