Jannick Dyrløv Bendtsen
- Biotechnology top 0.5%
- Parasitology top 1%
- Microbiology top 0.5%
- Molecular Biology top 1%
- RNA and protein synthesis mechanisms 6
- Genomics and Phylogenetic Studies 5
- Machine Learning in Bioinformatics 3
- Glycosylation and Glycoproteins Research 1
- Biochemical and Structural Characterization 1
- Signaling Pathways in Disease 1
- Insect Science top 1%
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- Bacteriophages and microbial interactions 5
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- Bacterial Genetics and Biotechnology 5
Jannick Dyrløv Bendtsen
12 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Biotechnology 707
- Parasitology 507
- Microbiology 469
- Molecular Biology 4.4k
- Insect Science 568
Countries citing papers authored by Jannick Dyrløv Bendtsen
This map shows the geographic impact of Jannick Dyrløv Bendtsen'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 Jannick Dyrløv Bendtsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jannick Dyrløv Bendtsen more than expected).
Fields of papers citing papers by Jannick Dyrløv Bendtsen
This network shows the impact of papers produced by Jannick Dyrløv Bendtsen. 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 Jannick Dyrløv Bendtsen. The network helps show where Jannick Dyrløv Bendtsen may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Jannick Dyrløv Bendtsen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 7 | |
| 2 | Non-classical protein secretion in bacteriabreakdown → | 2005 | 577 |
| 3 | 2005 | 433 | |
| 4 | 2005 | 7 | |
| 5 | 2005 | 20 | |
| 6 | 2005 | 6 | |
| 7 | 2004 | 18 | |
| 8 | Improved Prediction of Signal Peptides: SignalP 3.0breakdown → | 2004 | 5571 |
| 9 | Feature-based prediction of non-classical and leaderless protein secretionbreakdown → | 2004 | 981 |
| 10 | 2004 | 108 | |
| 11 | 2002 | 6 | |
| 12 | 1999 | 11 |
About Jannick Dyrløv Bendtsen
Jannick Dyrløv Bendtsen is a scholar working on Molecular Medicine, Ecology, Endocrinology, Genetics and Molecular Biology, having authored 12 papers that have together received 7.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Bacteriophages and microbial interactions (5 papers), Bacterial Genetics and Biotechnology (5 papers), Genomics and Phylogenetic Studies (5 papers), Machine Learning in Bioinformatics (3 papers), Glycosylation and Glycoproteins Research (1 paper), Biochemical and Structural Characterization (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Biotechnology (707 citations), Parasitology (507 citations), Microbiology (469 citations), Molecular Biology (4.4k citations) and Insect Science (568 citations). Jannick Dyrløv Bendtsen has collaborated with scholars based in Denmark, Sweden and Germany. Frequent co-authors include Søren Brunak, Gunnar von Heijne, Henrik Nielsen, Nikolaj Blom, Lars Juhl Jensen, Lars Kiemer, Tracy Palmer, David A. Widdick, Peter F. Hallin and David W. Ussery. Their work appears in journals such as Microbiology, BMC Microbiology, Protein Engineering Design and Selection, Journal of Bacteriology and BMC Bioinformatics.
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.