Tjaart de Beer

16.0k citations
25 papers · 10.7k indexed · 2 hit papers · h-index 14
Topics
Protein Structure and Dynamics (7 papers)Bioinformatics and Genomic Networks (7 papers)Viral Infections and Immunology Research (6 papers)

In The Last Decade

Tjaart de Beer

25 papers receiving 10.6k citations

Hit Papers

SWISS-MODEL: homology modelling of protein structures and...2016202620192022201820162.5k5.0k7.5k

Peers

Tjaart de Beer
Comparison fields: 5 of 165
  • Molecular Biology 6.5k
  • Plant Science 1.4k
  • Infectious Diseases 1.1k
  • Genetics 1.0k
  • Immunology 799
Replace Gerardo Tauriello with:
Gerardo Tauriello Switzerland
Rafal Gumienny Switzerland
Rosalba Lepore Italy
Christine Rempfer Germany
Florian Heer Switzerland
Mark N. Wass United Kingdom
Nicolas Guex Switzerland
Martino Bertoni Switzerland
Konstantin Arnold Switzerland
Stefan Bienert Switzerland
Tjaart de Beer relative to Gerardo Tauriello Switzerland Gerardo Tauriello's profile →
Citations per field
00.5×8.1×
Gerardo Tauriello · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1
SWISS-MODEL: homology modelling of protein structures and complexesbreakdown →
8674
2 7
3 16
4
The SWISS-MODEL Repository—new features and functionalitybreakdown →
1189
5 13
6 2
7 17
8 6
9 2
10 23
11 50
12 137
13 241
14 10
15 13
16 41
17 58
18 13
19
Protein homology modelling and its use in South Africa
12
20 48

About Tjaart de Beer

Tjaart de Beer is a scholar working on Agronomy and Crop Science, Parasitology and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 10.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Bioinformatics and Genomic Networks (7 papers) and Viral Infections and Immunology Research (6 papers). The work is most often cited by research in Molecular Biology (6.5k citations), Biotechnology (660 citations) and Infectious Diseases (1.1k citations). Tjaart de Beer has collaborated with scholars based in United Kingdom, South Africa and United States. Frequent co-authors include Torsten Schwede, Stefan Bienert, Lorenza Bordoli, Andrew Waterhouse, Gerardo Tauriello, Gabriel Studer, Rosalba Lepore, Florian Heer, Martino Bertoni and Rafal Gumienny. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

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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