Els Henckaerts

2.5k total citations · 1 hit paper
38 papers, 1.8k citations indexed

About

Els Henckaerts is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Els Henckaerts has authored 38 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 20 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Els Henckaerts's work include Virus-based gene therapy research (19 papers), CRISPR and Genetic Engineering (10 papers) and Viral gastroenteritis research and epidemiology (4 papers). Els Henckaerts is often cited by papers focused on Virus-based gene therapy research (19 papers), CRISPR and Genetic Engineering (10 papers) and Viral gastroenteritis research and epidemiology (4 papers). Els Henckaerts collaborates with scholars based in United Kingdom, United States and Belgium. Els Henckaerts's co-authors include R. Michael Linden, Marion Kennedy, Gordon Keller, Steven Kattman, Torsten K. Roepke, Mark H. Soonpaa, Loren J. Field, Lei Yang, Geoffrey W. Abbott and Eric Adler and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Els Henckaerts

37 papers receiving 1.7k citations

Hit Papers

Human cardiovascular progenitor cells develop from a KDR+... 2008 2026 2014 2020 2008 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Els Henckaerts United Kingdom 16 1.4k 538 286 229 212 38 1.8k
Yen-Sin Ang United States 12 2.8k 2.1× 417 0.8× 164 0.6× 297 1.3× 188 0.9× 13 3.5k
Wataru Ebina United States 9 2.6k 1.9× 509 0.9× 446 1.6× 355 1.6× 179 0.8× 12 3.0k
Jyotsna Dhawan India 26 1.8k 1.3× 344 0.6× 424 1.5× 167 0.7× 109 0.5× 56 2.3k
Alessandro Bertero United States 21 1.6k 1.2× 503 0.9× 197 0.7× 274 1.2× 100 0.5× 35 2.2k
Luigi Warren United States 8 2.3k 1.7× 372 0.7× 330 1.2× 450 2.0× 185 0.9× 10 2.6k
Anton V. Borovjagin United States 26 1.4k 1.0× 524 1.0× 313 1.1× 278 1.2× 127 0.6× 55 2.1k
Yohei Hayashi Japan 24 3.0k 2.2× 1.1k 2.1× 299 1.0× 499 2.2× 299 1.4× 61 3.6k
Kathryn M. Schultz United States 17 1.0k 0.8× 197 0.4× 190 0.7× 91 0.4× 165 0.8× 30 1.5k
Jem Efe United States 11 1.2k 0.9× 299 0.6× 129 0.5× 142 0.6× 176 0.8× 12 1.6k
Cécile Gauthier‐Rouvière France 36 2.6k 1.9× 146 0.3× 214 0.7× 163 0.7× 376 1.8× 65 3.5k

Countries citing papers authored by Els Henckaerts

Since Specialization
Citations

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

Fields of papers citing papers by Els Henckaerts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Els Henckaerts

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

All Works

20 of 20 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.
O’Leary, Claire, Gabriella Forte, Nadia L. Mitchell, et al.. (2023). Intraparenchymal convection enhanced delivery of AAV in sheep to treat Mucopolysaccharidosis IIIC. Journal of Translational Medicine. 21(1). 437–437. 5 indexed citations
3.
Bennett, Antonette, Joshua A. Hull, Julie Tordo, et al.. (2021). Comparative structural, biophysical, and receptor binding study of true type and wild type AAV2. Journal of Structural Biology. 213(4). 107795–107795. 7 indexed citations
4.
Musayev, Faik N., et al.. (2020). The Cryo-EM structure of AAV2 Rep68 in complex with ssDNA reveals a malleable AAA+ machine that can switch between oligomeric states. Nucleic Acids Research. 48(22). 12983–12999. 22 indexed citations
5.
Karda, Rajvinder, Rahimin Affandi Abdul Rahim, Andrew M.S. Wong, et al.. (2020). Generation of light-producing somatic-transgenic mice using adeno-associated virus vectors. Scientific Reports. 10(1). 2121–2121. 3 indexed citations
6.
O’Leary, Claire, José A. G. Agúndez, Helen Parker, et al.. (2019). An improved AAV vector for neurological correction of the mouse model of Mucopolysaccharidosis IIIA. UCL Discovery (University College London). 1 indexed citations
7.
Gray, Anna L., Claire O’Leary, Aiyin Liao, et al.. (2019). An Improved Adeno-Associated Virus Vector for Neurological Correction of the Mouse Model of Mucopolysaccharidosis IIIA. Human Gene Therapy. 30(9). 1052–1066. 14 indexed citations
8.
Raouf, Ramin, Stéphane Lolignier, Jane E. Sexton, et al.. (2018). Inhibition of somatosensory mechanotransduction by annexin A6. Science Signaling. 11(535). 27 indexed citations
9.
Bardelli, Martino, et al.. (2018). Exchange of functional domains between a bacterial conjugative relaxase and the integrase of the human adeno-associated virus. PLoS ONE. 13(7). e0200841–e0200841. 4 indexed citations
10.
Bardelli, Martino, et al.. (2017). Determination of Adeno-associated Virus Rep DNA Binding Using Fluorescence Anisotropy. BIO-PROTOCOL. 7(6). 2 indexed citations
11.
Bardelli, Martino, et al.. (2017). Analysis of Replicative Intermediates of Adeno-associated Virus through Hirt Extraction and Southern Blotting. BIO-PROTOCOL. 7(9). 6 indexed citations
12.
Bardelli, Martino, et al.. (2016). Identification of a Functionally Relevant Adeno-Associated Virus Rep68 Oligomeric Interface. Journal of Virology. 90(15). 6612–6624. 11 indexed citations
13.
Kohlbrenner, Erik, Els Henckaerts, Kleopatra Rapti, et al.. (2012). Quantification of AAV Particle Titers by Infrared Fluorescence Scanning of Coomassie-Stained Sodium Dodecyl Sulfate–Polyacrylamide Gels. Human Gene Therapy Methods. 23(3). 198–203. 26 indexed citations
14.
Henckaerts, Els, Nathalie Dutheil, Nadja Zeltner, et al.. (2009). Site-specific integration of adeno-associated virus involves partial duplication of the target locus. Proceedings of the National Academy of Sciences. 106(18). 7571–7576. 57 indexed citations
15.
Yang, Lei, Mark H. Soonpaa, Eric Adler, et al.. (2008). Human cardiovascular progenitor cells develop from a KDR+ embryonic-stem-cell-derived population. Nature. 453(7194). 524–528. 1059 indexed citations breakdown →
16.
17.
Langer, Jessica, et al.. (2004). Quantitative Trait Analysis Reveals Transforming Growth Factor-β2 as a Positive Regulator of Early Hematopoietic Progenitor and Stem Cell Function. The Journal of Experimental Medicine. 199(1). 5–14. 55 indexed citations
18.
Langer, Jessica, et al.. (2002). Characterization of bone marrow lin-Sca1++kit- cells. Research Portal (King's College London). 100(11). 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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