Jasper Zuallaert

408 total citations
12 papers, 228 citations indexed

About

Jasper Zuallaert is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jasper Zuallaert has authored 12 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jasper Zuallaert's work include Machine Learning in Bioinformatics (4 papers), RNA and protein synthesis mechanisms (4 papers) and Retinal Imaging and Analysis (3 papers). Jasper Zuallaert is often cited by papers focused on Machine Learning in Bioinformatics (4 papers), RNA and protein synthesis mechanisms (4 papers) and Retinal Imaging and Analysis (3 papers). Jasper Zuallaert collaborates with scholars based in Belgium, South Korea and China. Jasper Zuallaert's co-authors include Wesley De Neve, Arne Soete, Fréderic Godin, Yvan Saeys, Mi-Jung Kim, Hong‐Bin Shen, Xiaoyong Pan, Xi Wang, Denys Marushchak and Baptist Vandersmissen and has published in prestigious journals such as Nature Communications, Bioinformatics and ACS Applied Materials & Interfaces.

In The Last Decade

Jasper Zuallaert

12 papers receiving 225 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jasper Zuallaert Belgium 7 134 49 32 21 18 12 228
Jingjing Chen China 9 146 1.1× 96 2.0× 24 0.8× 73 3.5× 26 1.4× 29 328
Zichang Xu Japan 10 127 0.9× 91 1.9× 32 1.0× 5 0.2× 49 2.7× 15 266
Chandrassegar Saravanan United States 8 118 0.9× 36 0.7× 47 1.5× 4 0.2× 16 0.9× 14 228
Pascal Notin United Kingdom 5 390 2.9× 45 0.9× 31 1.0× 2 0.1× 6 0.3× 7 603
Weiyi Zhang China 9 50 0.4× 126 2.6× 42 1.3× 72 3.4× 39 2.2× 21 288
Eric Smalley United States 7 151 1.1× 16 0.3× 21 0.7× 10 0.5× 14 280
Xiao Jian Tan Malaysia 9 27 0.2× 77 1.6× 86 2.7× 8 0.4× 30 1.7× 33 209
Óscar Álvarez-Machancoses Spain 8 93 0.7× 27 0.6× 37 1.2× 5 0.3× 13 276
Vincent Tran United States 8 72 0.5× 38 0.8× 31 1.0× 35 1.7× 3 0.2× 12 225
Pierre Machart Germany 6 175 1.3× 32 0.7× 36 1.1× 15 0.8× 9 228

Countries citing papers authored by Jasper Zuallaert

Since Specialization
Citations

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

Fields of papers citing papers by Jasper Zuallaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jasper Zuallaert

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

All Works

12 of 12 papers shown
1.
Lee, Hyun‐Jung, et al.. (2023). Mutate and observe: utilizing deep neural networks to investigate the impact of mutations on translation initiation. Bioinformatics. 39(6). 1 indexed citations
2.
Boone, Morgane, Pathmanaban Ramasamy, Jasper Zuallaert, et al.. (2021). Massively parallel interrogation of protein fragment secretability using SECRiFY reveals features influencing secretory system transit. Nature Communications. 12(1). 6414–6414. 5 indexed citations
3.
Pan, Xiaoyong, Jasper Zuallaert, Xi Wang, et al.. (2020). ToxDL: deep learning using primary structure and domain embeddings for assessing protein toxicity. Bioinformatics. 36(21). 5159–5168. 58 indexed citations
4.
Zuallaert, Jasper, Xiaoyong Pan, Yvan Saeys, Xi Wang, & Wesley De Neve. (2019). Investigating the biological relevance in trained embedding representations of protein sequences. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
5.
Hai, Zhenyin, Mohammad Karbalaei Akbari, Zihan Wei, et al.. (2019). Electrochromic Photodetectors: Toward Smarter Glasses and Nano Reflective Displays via an Electrolytic Mechanism. ACS Applied Materials & Interfaces. 11(31). 27997–28004. 14 indexed citations
6.
Janssens, Olivier, et al.. (2018). Web applicable computer-aided diagnosis of glaucoma using deep learning. Ghent University Academic Bibliography (Ghent University). 1–5. 2 indexed citations
7.
Zuallaert, Jasper, Fréderic Godin, Mi-Jung Kim, et al.. (2018). SpliceRover: interpretable convolutional neural networks for improved splice site prediction. Bioinformatics. 34(24). 4180–4188. 80 indexed citations
8.
Zuallaert, Jasper, et al.. (2018). Computer-Aided Diagnosis and Localization of Glaucoma Using Deep Learning. 2357–2362. 14 indexed citations
9.
Zuallaert, Jasper, et al.. (2018). TISRover: ConvNets learn biologically relevant features for effective translation initiation site prediction. International Journal of Data Mining and Bioinformatics. 20(3). 267–267. 13 indexed citations
10.
Zuallaert, Jasper, et al.. (2017). Towards novel methods for effective transfer learning and unsupervised deep learning for medical image analysis. Ghent University Academic Bibliography (Ghent University). 32–39. 5 indexed citations
11.
12.
Godin, Fréderic, Jasper Zuallaert, Baptist Vandersmissen, Wesley De Neve, & Rik Van de Walle. (2014). Beating the Bookmakers: Leveraging Statistics and Twitter Microposts for Predicting Soccer Results. Ghent University Academic Bibliography (Ghent University). 15 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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