Jacob Engelbrecht
- Molecular Biology top 1%
- Plant Science top 2%
- Genetics top 2%
- Immunology top 5%
- Ecology top 5%
- Co-authors
- Søren BrunakGunnar von HeijneHenrik NielsenSteen KnudsenJan Erik HansenHenrik BohrOle LundJens Nielsen
- Topics
- RNA and protein synthesis mechanisms (12 papers)Machine Learning in Bioinformatics (10 papers)Genomics and Phylogenetic Studies (6 papers)
- Partner nations
- DenmarkSwedenUnited Kingdom
In The Last Decade
Jacob Engelbrecht
15 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 4.1k
- Plant Science 1.1k
- Genetics 871
- Immunology 863
- Ecology 511
Countries citing papers authored by Jacob Engelbrecht
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sitesbreakdown → | 4855 |
| 3 | A Neural Network Method for Identification of Prokaryotic and Eukaryotic Signal Peptides and Prediction of their Cleavage Sitesbreakdown → | 598 |
| 4 | 46 | |
| 5 | 76 | |
| 6 | 36 | |
| 7 | 28 | |
| 8 | Investigations of Escherichia coli promoter sequences with artificial neural networks: new signals discovered upstream of the transcriptional startpoint. | 29 |
| 9 | 222 | |
| 10 | Periodic sequence patterns in human exons. | 5 |
| 11 | 25 | |
| 12 | 39 | |
| 13 | 41 | |
| 14 | Prediction of human mRNA donor and acceptor sites from the DNA sequencebreakdown → | 627 |
| 15 | 48 |
About Jacob Engelbrecht
Jacob Engelbrecht is a scholar working on Molecular Biology, Cell Biology and Infectious Diseases, having authored 15 papers that have together received 6.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (12 papers), Machine Learning in Bioinformatics (10 papers) and Genomics and Phylogenetic Studies (6 papers). The work is most often cited by research in Molecular Biology (4.1k citations), Biotechnology (450 citations) and Parasitology (323 citations). Jacob Engelbrecht has collaborated with scholars based in Denmark, Sweden and United Kingdom. Frequent 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. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Journal of Molecular Biology.
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.