Jacob Engelbrecht

7.6k total citations · 3 hit papers
15 papers, 6.7k citations indexed

About

Jacob Engelbrecht is a scholar working on Molecular Biology, Cell Biology and Infectious Diseases. According to data from OpenAlex, Jacob Engelbrecht has authored 15 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 1 paper in Cell Biology and 0 papers in Infectious Diseases. Recurrent topics in Jacob Engelbrecht's work include RNA and protein synthesis mechanisms (12 papers), Machine Learning in Bioinformatics (10 papers) and Genomics and Phylogenetic Studies (6 papers). Jacob Engelbrecht is often cited by papers focused on RNA and protein synthesis mechanisms (12 papers), Machine Learning in Bioinformatics (10 papers) and Genomics and Phylogenetic Studies (6 papers). Jacob Engelbrecht collaborates with scholars based in Denmark, Sweden and United Kingdom. Jacob Engelbrecht's co-authors include Søren Brunak, Gunnar von Heijne, Henrik Nielsen, Steen Knudsen, Jan Erik Hansen, Henrik Bohr, Ole Lund, Jens Nielsen, Anders Gorm Pedersen and A. V. Lukashin and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Jacob Engelbrecht

15 papers receiving 6.5k citations

Hit Papers

Identification of prokaryotic and eukaryotic signal pepti... 1991 2026 2002 2014 1997 1991 1997 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacob Engelbrecht Denmark 13 4.1k 1.1k 871 863 511 15 6.7k
Jannick Dyrløv Bendtsen Denmark 8 4.4k 1.1× 1.6k 1.5× 917 1.1× 853 1.0× 894 1.7× 12 7.7k
Ron D. Appel Switzerland 9 4.3k 1.0× 1.2k 1.1× 523 0.6× 646 0.7× 443 0.9× 9 6.3k
Tom Sargent United States 5 4.5k 1.1× 1.1k 1.0× 1.1k 1.3× 651 0.8× 493 1.0× 7 6.9k
Robert E. Rhoads United States 64 9.3k 2.2× 1.7k 1.5× 1.3k 1.5× 981 1.1× 577 1.1× 168 12.2k
Gilbert Deléage France 35 4.5k 1.1× 881 0.8× 1.1k 1.3× 562 0.7× 460 0.9× 87 7.1k
C. Geourjon France 28 3.7k 0.9× 786 0.7× 683 0.8× 468 0.5× 376 0.7× 48 5.6k
F. Corpet France 11 3.3k 0.8× 1.2k 1.1× 771 0.9× 363 0.4× 452 0.9× 12 5.4k
Paul D. Siebert United States 30 4.6k 1.1× 1.5k 1.4× 1.1k 1.3× 912 1.1× 435 0.9× 56 7.6k
Young Mi Park South Korea 13 4.4k 1.1× 1.5k 1.4× 753 0.9× 566 0.7× 801 1.6× 30 7.3k
Penny Coggill United Kingdom 16 5.4k 1.3× 1.7k 1.6× 1.0k 1.2× 595 0.7× 974 1.9× 23 7.7k

Countries citing papers authored by Jacob Engelbrecht

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Engelbrecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob Engelbrecht

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

All Works

15 of 15 papers shown
1.
Engelbrecht, Jacob, David Ewald, Lasse Langholm, et al.. (2015). Single Site Suppressors of a Fission Yeast Temperature-Sensitive Mutant in cdc48 Identified by Whole Genome Sequencing. PLoS ONE. 10(2). e0117779–e0117779. 6 indexed citations
2.
Nielsen, Henrik, Jacob Engelbrecht, Søren Brunak, & Gunnar von Heijne. (1997). Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites. Protein Engineering Design and Selection. 10(1). 1–6. 4855 indexed citations breakdown →
3.
Nielsen, Henrik, Jacob Engelbrecht, Søren Brunak, & Gunnar von Heijne. (1997). A Neural Network Method for Identification of Prokaryotic and Eukaryotic Signal Peptides and Prediction of their Cleavage Sites. International Journal of Neural Systems. 8(05n06). 581–599. 598 indexed citations breakdown →
4.
Brunak, Søren & Jacob Engelbrecht. (1996). Protein structure and the sequential structure of mRNA: α-Helix and β-sheet signals at the nucleotide level. Proteins Structure Function and Bioinformatics. 25(2). 237–252. 46 indexed citations
5.
Nielsen, Henrik, Jacob Engelbrecht, Gunnar von Heijne, & Søren Brunak. (1996). Defining a similarity threshold for a functional protein sequence pattern: The signal peptide cleavage site. Proteins Structure Function and Bioinformatics. 24(2). 165–177. 76 indexed citations
6.
Brunak, Søren & Jacob Engelbrecht. (1996). Protein structure and the sequential structure of mRNA: α‐helix and β‐sheet signals at the nucleotide level. Proteins Structure Function and Bioinformatics. 25(2). 237–252. 36 indexed citations
7.
Engelbrecht, Jacob, et al.. (1995). Analysis of eukaryotic promoter sequences reveals a systematically occurring CT-signal. Nucleic Acids Research. 23(7). 1223–1230. 28 indexed citations
8.
Pedersen, Anders Gorm & Jacob Engelbrecht. (1995). Investigations of Escherichia coli promoter sequences with artificial neural networks: new signals discovered upstream of the transcriptional startpoint.. PubMed. 3. 292–9. 29 indexed citations
9.
Hansen, Jan Erik, Ole Lund, Jacob Engelbrecht, et al.. (1995). Prediction of O-glycosylation of mammalian proteins: specificity patterns of UDP-GalNAc:polypeptide N-acetylgalactosaminyltransferase. Biochemical Journal. 308(3). 801–813. 222 indexed citations
10.
Baldi, Pierre, Søren Brunak, Yves Chauvin, Jacob Engelbrecht, & Anders Krogh. (1995). Periodic sequence patterns in human exons.. PubMed. 3. 30–8. 5 indexed citations
11.
Tolstrup, Niels, et al.. (1994). Neural Network Model of the Genetic Code is Strongly Correlated to the GES Scale of Amino Acid Transfer Free Energies. Journal of Molecular Biology. 243(5). 816–820. 25 indexed citations
12.
Engelbrecht, Jacob, Steen Knudsen, & Søren Brunak. (1992). G + C-rich tract in 5′ end of human introns. Journal of Molecular Biology. 227(1). 108–113. 39 indexed citations
13.
Lukashin, A. V., Jacob Engelbrecht, & Søren Brunak. (1992). Multiple alignment using simulated annealing: branch point definition in human mRNA splicing. Nucleic Acids Research. 20(10). 2511–2516. 41 indexed citations
14.
Brunak, Søren, Jacob Engelbrecht, & Steen Knudsen. (1991). Prediction of human mRNA donor and acceptor sites from the DNA sequence. Journal of Molecular Biology. 220(1). 49–65. 627 indexed citations breakdown →
15.
Brunak, Søren, Jacob Engelbrecht, & Steen Knudsen. (1990). Neural network detects errors in the assignment of mRNA splice sites. Nucleic Acids Research. 18(16). 4797–4801. 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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