Ruth Y. Eberhardt
- Molecular Biology top 0.5%
- Genomics and Phylogenetic Studies 10
- Machine Learning in Bioinformatics 5
- RNA and protein synthesis mechanisms 5
- Endocrinology top 0.5%
- Plant Science top 0.2%
- Ecology top 0.5%
- Biotechnology top 0.5%
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- Genomics and Rare Diseases 6
- Genomic variations and chromosomal abnormalities 6
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- Advanced Proteomics Techniques and Applications 5
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- Prenatal Screening and Diagnostics 4
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- Enzyme Structure and Function 4
- Co-authors
- Alex BatemanJohn TateSean R. EddyROBERT FINNMarco PuntaJaina MistryPenelope CoggillLiisa Holm
- Partner nations
- United KingdomUnited StatesNew Zealand
In The Last Decade
Ruth Y. Eberhardt
27 papers receiving 13.6k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Molecular Biology 9.3k
- Endocrinology 541
- Plant Science 3.9k
- Ecology 2.0k
- Biotechnology 626
Countries citing papers authored by Ruth Y. Eberhardt
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2021 | 11 | |
| 4 | 2020 | 10 | |
| 5 | 2018 | 41 | |
| 6 | The Pfam protein families database: towards a more sustainable futurebreakdown → | 2015 | 4051 |
| 7 | 2014 | 9 | |
| 8 | 2014 | 33 | |
| 9 | Rfam 12.0: updates to the RNA families databasebreakdown → | 2014 | 805 |
| 10 | 2014 | 12 | |
| 11 | 2014 | 59 | |
| 12 | 2013 | 23 | |
| 13 | Pfam: the protein families databasebreakdown → | 2013 | 4740 |
| 14 | 2013 | 50 | |
| 15 | 2013 | 6 | |
| 16 | 2013 | 12 | |
| 17 | Rfam 11.0: 10 years of RNA familiesbreakdown → | 2012 | 615 |
| 18 | 2012 | 33 | |
| 19 | 2001 | 44 | |
| 20 | 2000 | 29 |
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.