Ruth Y. Eberhardt

23.9k citations
28 papers · 13.7k indexed · 5 hit papers · h-index 17

Ruth Y. Eberhardt

27 papers receiving 13.6k citations

Hit Papers

The Pfam protein families database: towards a more sustai...4.1k201120262016202110002.0k3.0k4.0k

Peers

Ruth Y. Eberhardt
Comparison fields: 5 of 163
  • Molecular Biology 9.3k
  • Endocrinology 541
  • Plant Science 3.9k
  • Ecology 2.0k
  • Biotechnology 626
Replace Marco Punta with:
Marco Punta United States
Jody Clements United States
Andreas Heger United Kingdom
Gustavo A Salazar United Kingdom
Simon Potter United Kingdom
Matloob Qureshi United Kingdom
Songnian Hu China
Kim D. Pruitt United States
Silvio C. E. Tosatto Italy
Alex Mitchell United Kingdom
Ruth Y. Eberhardt relative to Marco Punta United States Marco Punta's profile →
Citations per field
00.5×1.5×
Marco Punta · 1×
Citations per year

Countries citing papers authored by Ruth Y. Eberhardt

Since Specialization
Citations

This map shows the geographic impact of Ruth Y. Eberhardt'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 Ruth Y. Eberhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruth Y. Eberhardt more than expected).

Fields of papers citing papers by Ruth Y. Eberhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruth Y. Eberhardt. 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 Ruth Y. Eberhardt. The network helps show where Ruth Y. Eberhardt may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ruth Y. Eberhardt, 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 Ruth Y. Eberhardt Line = papers co-authored together Ruth Y. Eberhardt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 202111
4 202010
5 201841
6
The Pfam protein families database: towards a more sustainable futurebreakdown →
20154051
7 20149
8 201433
9
Rfam 12.0: updates to the RNA families databasebreakdown →
2014805
10 201412
11 201459
12 201323
13
Pfam: the protein families databasebreakdown →
20134740
14 201350
15 20136
16 201312
17
Rfam 11.0: 10 years of RNA familiesbreakdown →
2012615
18 201233
19 200144
20 200029

About Ruth Y. Eberhardt

Ruth Y. Eberhardt is a scholar working on Genetics, Biotechnology and Spectroscopy, having authored 28 papers that have together received 13.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Genomics and Rare Diseases (6 papers), Genomic variations and chromosomal abnormalities (6 papers), Machine Learning in Bioinformatics (5 papers), Advanced Proteomics Techniques and Applications (5 papers), RNA and protein synthesis mechanisms (5 papers), Prenatal Screening and Diagnostics (4 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Molecular Biology (9.3k citations), Endocrinology (541 citations) and Plant Science (3.9k citations). Ruth Y. Eberhardt has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Alex Bateman, John Tate, Sean R. Eddy, ROBERT FINN, Marco Punta, Jaina Mistry, Penelope Coggill, Liisa Holm, Erik L. L. Sonnhammer and Jody Clements. Their work appears in journals such as BMC Bioinformatics, Nucleic Acids Research, Database, Ultrasound in Obstetrics and Gynecology and Genetics in Medicine.

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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