Jennifer Daub

8.6k citations
25 papers · 3.9k indexed · 3 hit papers · h-index 21

Impact in

Papers in

Jennifer Daub

25 papers receiving 3.8k citations

Hit Papers

Rfam 12.0: updates to the RNA families database 2014 · 805 citations
8052008202620142020250500750

Peers

Jennifer Daub
Comparison fields: 5 of 122
  • Aging 161
  • Parasitology 342
  • Molecular Biology 2.4k
  • Ecology 839
  • Cancer Research 396
Replace Sujai Kumar with:
Sujai Kumar United Kingdom
Barton E. Slatko United States
Kim Wong United States
Adrian R. Tivey United Kingdom
Hsin-Yu Chang United Kingdom
Sarah Hunter United Kingdom
A. F. Quinn United Kingdom
Nandana Madhusoodanan United Kingdom
Manja Marz Germany
Siew-Yit Yong United Kingdom
Jennifer Daub relative to Sujai Kumar United Kingdom Sujai Kumar's profile →
Citations per field
00.5×1.5×2.1×
Sujai Kumar · 1×
Citations per year

Countries citing papers authored by Jennifer Daub

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jennifer Daub Line = papers co-authored together Jennifer Daub links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Rfam 12.0: updates to the RNA families database
Hit paper breakdown →
2014805
2 201433
3
Rfam 11.0: 10 years of RNA families
Hit paper breakdown →
2012615
4 2010307
5 200953
6
Rfam: updates to the RNA families database
Hit paper breakdown →
2008733
7 2004296
8 2004204
9 200422
10 200458
11 200413
12 200266
13 200230
14 200136
15 200088
16 200075
17 199941
18 199620
19 199664
20
The Filarial Genome Project
199511

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.

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