Tjaart de Beer

16.0k total citations · 2 hit papers
25 papers, 10.7k citations indexed

About

Tjaart de Beer is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Agronomy and Crop Science. According to data from OpenAlex, Tjaart de Beer has authored 25 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 6 papers in Agronomy and Crop Science. Recurrent topics in Tjaart de Beer's work include Protein Structure and Dynamics (7 papers), Bioinformatics and Genomic Networks (7 papers) and Viral Infections and Immunology Research (6 papers). Tjaart de Beer is often cited by papers focused on Protein Structure and Dynamics (7 papers), Bioinformatics and Genomic Networks (7 papers) and Viral Infections and Immunology Research (6 papers). Tjaart de Beer collaborates with scholars based in United Kingdom, South Africa and United States. Tjaart de Beer's co-authors include Torsten Schwede, Lorenza Bordoli, Stefan Bienert, Andrew Waterhouse, Gerardo Tauriello, Gabriel Studer, Rafal Gumienny, Martino Bertoni, Florian Heer and Christine Rempfer and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Tjaart de Beer

25 papers receiving 10.6k citations

Hit Papers

align trajectories sort by overperformance

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.

SWISS-MODEL: homology modelling of protein structures and complexes

2018 8.7k citations Andrew Waterhouse, Martino Bertoni et al. Nucleic Acids Research profile →
The SWISS-MODEL Repository—new features and functionality

2016 1.2k citations Stefan Bienert, Andrew Waterhouse et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tjaart de Beer United Kingdom	14	6.5k	1.4k	1.1k	1.0k	799	25	10.7k
Gerardo Tauriello Switzerland	15	6.4k 1.0×	1.4k 1.0×	1.1k 1.0×	938 0.9×	778 1.0×	22	10.5k
Rafal Gumienny Switzerland	10	6.2k 1.0×	1.3k 1.0×	996 0.9×	859 0.8×	745 0.9×	10	9.9k
Rosalba Lepore Italy	15	5.7k 0.9×	1.3k 0.9×	954 0.9×	814 0.8×	777 1.0×	27	9.3k
Christine Rempfer Germany	5	5.7k 0.9×	1.3k 0.9×	991 0.9×	847 0.8×	725 0.9×	6	9.3k
Mark N. Wass United Kingdom	25	5.8k 0.9×	1.6k 1.1×	871 0.8×	1.1k 1.1×	747 0.9×	68	9.5k
Florian Heer Switzerland	3	5.3k 0.8×	1.2k 0.9×	925 0.9×	798 0.8×	677 0.8×	4	8.7k
Martino Bertoni Switzerland	11	8.4k 1.3×	1.8k 1.3×	1.3k 1.2×	1.3k 1.2×	1.0k 1.3×	17	13.5k
Konstantin Arnold Switzerland	8	8.3k 1.3×	1.7k 1.2×	873 0.8×	1.3k 1.3×	1.1k 1.4×	11	13.0k
Stefan Bienert Switzerland	9	8.7k 1.3×	1.9k 1.3×	1.4k 1.3×	1.3k 1.3×	1.1k 1.4×	12	14.1k
Nicolas Guex Switzerland	33	9.5k 1.4×	1.6k 1.2×	967 0.9×	1.5k 1.5×	1.3k 1.6×	76	14.6k

Countries citing papers authored by Tjaart de Beer

Since Specialization

Citations

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

Fields of papers citing papers by Tjaart de Beer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tjaart de Beer. 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 Tjaart de Beer. The network helps show where Tjaart de Beer may publish in the future.

Co-authorship network of co-authors of Tjaart de Beer

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

All Works

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20 of 20 papers shown

Waterhouse, Andrew, Martino Bertoni, Stefan Bienert, et al.. (2018). SWISS-MODEL: homology modelling of protein structures and complexes. Nucleic Acids Research. 46(W1). W296–W303. 8674 indexed citations breakdown →

Romano, Valentina, Tjaart de Beer, & Torsten Schwede. (2017). A computational protocol to evaluate the effects of protein mutants in the kinase gatekeeper position on the binding of ATP substrate analogues. BMC Research Notes. 10(1). 104–104. 7 indexed citations

Mahlich, Yannick, Jonas Reeb, Maximilian Hecht, et al.. (2017). Common sequence variants affect molecular function more than rare variants?. Scientific Reports. 7(1). 1608–1608. 16 indexed citations

Bienert, Stefan, Andrew Waterhouse, Tjaart de Beer, et al.. (2016). The SWISS-MODEL Repository—new features and functionality. Nucleic Acids Research. 45(D1). D313–D319. 1189 indexed citations breakdown →

Stanger, Frédéric V., Tjaart de Beer, David M. Dranow, et al.. (2016). The BID Domain of Type IV Secretion Substrates Forms a Conserved Four-Helix Bundle Topped with a Hook. Structure. 25(1). 203–211. 13 indexed citations

Beer, Tjaart de, et al.. (2015). Determination of common genetic variants within the non-structural proteins of foot-and-mouth disease viruses isolated in sub-Saharan Africa. Veterinary Microbiology. 177(1-2). 106–122. 6 indexed citations

Reinders, Marcel, et al.. (2015). Insight into Neutral and Disease-Associated Human Genetic Variants through Interpretable Predictors. PLoS ONE. 10(3). e0120729–e0120729. 2 indexed citations

Maree, Francois F., et al.. (2015). Synthesis of empty african horse sickness virus particles. Virus Research. 213. 184–194. 17 indexed citations

Maree, Francois F., Belinda Blignaut, Tjaart de Beer, & Elizabeth Rieder. (2013). Analysis of SAT Type Foot-And-Mouth Disease Virus Capsid Proteins and the Identification of Putative Amino Acid Residues Affecting Virus Stability. PLoS ONE. 8(5). e61612–e61612. 23 indexed citations

10.

Beer, Tjaart de, et al.. (2013). LigSearch: a knowledge-based web server to identify likely ligands for a protein target. Acta Crystallographica Section D Biological Crystallography. 69(12). 2395–2402. 2 indexed citations

11.

Furnham, Nicholas, Gemma L. Holliday, Tjaart de Beer, et al.. (2013). The Catalytic Site Atlas 2.0: cataloging catalytic sites and residues identified in enzymes. Nucleic Acids Research. 42(D1). D485–D489. 137 indexed citations

12.

Beer, Tjaart de, et al.. (2013). Amino Acid Changes in Disease-Associated Variants Differ Radically from Variants Observed in the 1000 Genomes Project Dataset. PLoS Computational Biology. 9(12). e1003382–e1003382. 50 indexed citations

13.

Furnham, Nicholas, Tjaart de Beer, & Janet M. Thornton. (2012). Current challenges in genome annotation through structural biology and bioinformatics. Current Opinion in Structural Biology. 22(5). 594–601. 10 indexed citations

14.

Maree, Francois F., Belinda Blignaut, J J Esterhuysen, et al.. (2011). Predicting antigenic sites on the foot-and-mouth disease virus capsid of the South African Territories types using virus neutralization data. Journal of General Virology. 92(10). 2297–2309. 38 indexed citations

15.

Lee, David, Tjaart de Beer, Roman A. Laskowski, Janet M. Thornton, & Christine Orengo. (2011). 1,000 structures and more from the MCSG. BMC Structural Biology. 11(1). 2–2. 13 indexed citations

16.

Reeve, Richard, Belinda Blignaut, J J Esterhuysen, et al.. (2010). Sequence-Based Prediction for Vaccine Strain Selection and Identification of Antigenic Variability in Foot-and-Mouth Disease Virus. PLoS Computational Biology. 6(12). e1001027–e1001027. 58 indexed citations

17.

Maree, Francois F., Belinda Blignaut, Tjaart de Beer, N Visser, & Elizabeth Rieder. (2010). Mapping of amino acid residues responsible for adhesion of cell culture-adapted foot-and-mouth disease SAT type viruses. Virus Research. 153(1). 82–91. 41 indexed citations

18.

Beer, Tjaart de, et al.. (2009). The Malarial Drug Target Plasmodium falciparum 1-Deoxy-D-Xylulose-5- Phosphate Reductoisomerase (PfDXR): Development of a 3-D Model for Identification of Novel, Structural and Functional Features and for Inhibitor Screening (Supplementary Information). Protein and Peptide Letters. 17(1). 109–120. 13 indexed citations

19.

Bishop, Özlem Taştan, Tjaart de Beer, & Fourie Joubert. (2008). Protein homology modelling and its use in South Africa. South African Journal of Science. 104. 2–6. 12 indexed citations

20.

Shonhai, Addmore, et al.. (2008). Structure-Function Study of a Plasmodium falciparum Hsp70 Using Three Dimensional Modelling and in Vitro Analyses. Protein and Peptide Letters. 15(10). 1117–1125. 48 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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