Jennifer Daub
Impact in
- Aging top 2%
- Parasitology top 2%
- Parasites and Host Interactions
Papers in
- Aging 3
-
- Parasites and Host Interactions 4
- Co-authors
- John TateAlex BatemanEric P. NawrockiSean R. EddyPaul P. GardnerMark BlaxterROBERT FINNSarah Burge
- Journals
- Nucleic Acids Research (4 papers)Parasitology (2 papers)BioTechniques (2 papers)Molecular and Biochemical Parasitology (2 papers)International Journal for Parasitology (2 papers)
- Partner nations
- United KingdomUnited StatesNew Zealand
In The Last Decade
Jennifer Daub
25 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Aging 161
- Parasitology 342
- Molecular Biology 2.4k
- Ecology 839
- Cancer Research 396
Countries citing papers authored by Jennifer Daub
This map shows the geographic impact of Jennifer Daub'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 Jennifer Daub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Daub more than expected).
Fields of papers citing papers by Jennifer Daub
This network shows the impact of papers produced by Jennifer Daub. 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 Jennifer Daub. The network helps show where Jennifer Daub may publish in the future.
Co-authors
The 25 scholars most cited alongside Jennifer Daub, 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 | Rfam 12.0: updates to the RNA families database Hit paper breakdown → | 2014 | 805 |
| 2 | 2014 | 33 | |
| 3 | Rfam 11.0: 10 years of RNA families Hit paper breakdown → | 2012 | 615 |
| 4 | 2010 | 307 | |
| 5 | 2009 | 53 | |
| 6 | Rfam: updates to the RNA families database Hit paper breakdown → | 2008 | 733 |
| 7 | 2004 | 296 | |
| 8 | 2004 | 204 | |
| 9 | 2004 | 22 | |
| 10 | 2004 | 58 | |
| 11 | 2004 | 13 | |
| 12 | 2002 | 66 | |
| 13 | 2002 | 30 | |
| 14 | 2001 | 36 | |
| 15 | 2000 | 88 | |
| 16 | 2000 | 75 | |
| 17 | 1999 | 41 | |
| 18 | 1996 | 20 | |
| 19 | 1996 | 64 | |
| 20 | The Filarial Genome Project | 1995 | 11 |
About Jennifer Daub
Jennifer Daub is a scholar working on Aging, Parasitology, Insect Science, Infectious Diseases and Ecology, having authored 25 papers that have together received 3.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Parasite Biology and Host Interactions (6 papers), Parasitic Diseases Research and Treatment (6 papers), Insect symbiosis and bacterial influences (5 papers), Protist diversity and phylogeny (5 papers), RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (4 papers) and Parasites and Host Interactions (4 papers). The work is most often cited by research in Aging (161 citations), Parasitology (342 citations), Molecular Biology (2.4k citations), Ecology (839 citations) and Cancer Research (396 citations). Jennifer Daub has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include John Tate, Alex Bateman, Eric P. Nawrocki, Sean R. Eddy, Paul P. Gardner, Mark Blaxter, ROBERT FINN, Sarah Burge, Ruth Y. Eberhardt and Claire Whitton. Their work appears in journals such as Nucleic Acids Research, Parasitology, BioTechniques, Molecular and Biochemical Parasitology and International Journal for Parasitology.
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.