Helen Cook
- Insect Science top 0.5%
- Molecular Biology top 0.5%
- Biomedical Text Mining and Ontologies 4
- RNA and protein synthesis mechanisms 3
- Genomics and Phylogenetic Studies 3
- Bioinformatics and Genomic Networks 2
- vaccines and immunoinformatics approaches 1
- Extracellular vesicles in disease 1
- Cancer Research top 1%
- Endocrinology top 2%
- Ecology top 1%
- Bacteriophages and microbial interactions 7
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- Viral gastroenteritis research and epidemiology 1
- Co-authors
- Lars Juhl JensenDamian SzklarczykChristian von MeringPeer BorkMichael KuhnNadezhda T. DonchevaAlberto SantosMilan Simonovic
- Journals
- Nucleic Acids Research (4 papers)Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms (1 paper)Viruses (1 paper)
- Partner nations
- DenmarkUnited StatesGermany
In The Last Decade
Helen Cook
14 papers receiving 10.8k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Insect Science 1.3k
- Molecular Biology 6.1k
- Cancer Research 1.1k
- Endocrinology 284
- Ecology 1.4k
Countries citing papers authored by Helen Cook
This map shows the geographic impact of Helen Cook'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 Helen Cook with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen Cook more than expected).
Fields of papers citing papers by Helen Cook
This network shows the impact of papers produced by Helen Cook. 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 Helen Cook. The network helps show where Helen Cook may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Helen Cook, 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 | 2019 | 17 | |
| 2 | 2019 | 3 | |
| 3 | 2018 | 103 | |
| 4 | 2018 | 5 | |
| 5 | eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 virusesbreakdown → | 2018 | 2815 |
| 6 | 2017 | 64 | |
| 7 | 2017 | 3 | |
| 8 | The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessiblebreakdown → | 2016 | 5222 |
| 9 | 2016 | 11 | |
| 10 | eggNOG 4.5: a hierarchical orthology framework with improved functional annotations for eukaryotic, prokaryotic and viral sequencesbreakdown → | 2015 | 1528 |
| 11 | 2015 | 31 | |
| 12 | 2013 | 23 | |
| 13 | Successful establishment of Wolbachia in Aedes populations to suppress dengue transmissionbreakdown → | 2011 | 1067 |
| 14 | 1966 | 14 |
About Helen Cook
Helen Cook is a scholar working on Ecology, Endocrinology and Molecular Biology, having authored 14 papers that have together received 10.9k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (7 papers), Biomedical Text Mining and Ontologies (4 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (3 papers), Bioinformatics and Genomic Networks (2 papers), vaccines and immunoinformatics approaches (1 paper), Viral gastroenteritis research and epidemiology (1 paper) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Insect Science (1.3k citations), Molecular Biology (6.1k citations) and Cancer Research (1.1k citations). Helen Cook has collaborated with scholars based in Denmark, United States and Germany. Frequent co-authors include Lars Juhl Jensen, Damian Szklarczyk, Christian von Mering, Peer Bork, Michael Kuhn, Nadezhda T. Doncheva, Alberto Santos, Milan Simonovic, Stefan Wyder and Alexander Röth. Their work appears in journals such as Nucleic Acids Research, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms, Viruses, Nature and Environmental Microbiology.
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.