Karen Eilbeck
- Molecular Biology top 2%
- Biomedical Text Mining and Ontologies 32
- Genomics and Phylogenetic Studies 24
- Bioinformatics and Genomic Networks 16
- RNA and protein synthesis mechanisms 6
- RNA modifications and cancer 4
- Artificial Intelligence top 1%
- Semantic Web and Ontologies 5
- Genetics top 2%
- Genomics and Rare Diseases 13
- Cancer Research top 10%
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- Electronic Health Records Systems 6
- Co-authors
- Mark YandellChris MungallSuzanna LewisMichael AshburnerAlan RuttenbergNeocles B. LeontisBarry SmithAmelia Ireland
- Journals
- Journal of Biomedical Informatics (4 papers)Journal of Biomedical Semantics (3 papers)Bioinformatics (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Karen Eilbeck
60 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 2.8k
- Artificial Intelligence 1.1k
- Information Systems and Management 213
- Genetics 742
- Cancer Research 302
Countries citing papers authored by Karen Eilbeck
This map shows the geographic impact of Karen Eilbeck'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 Karen Eilbeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen Eilbeck more than expected).
Fields of papers citing papers by Karen Eilbeck
This network shows the impact of papers produced by Karen Eilbeck. 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 Karen Eilbeck. The network helps show where Karen Eilbeck may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Karen Eilbeck, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2022 | 22 | |
| 5 | 2022 | 5 | |
| 6 | 2020 | 93 | |
| 7 | 2018 | 25 | |
| 8 | 2016 | 7 | |
| 9 | 2015 | 14 | |
| 10 | 2015 | 147 | |
| 11 | 2015 | 20 | |
| 12 | 2014 | 23 | |
| 13 | 2014 | 19 | |
| 14 | Using GVF for Clinical Annotation of Personal Genomes. | 2012 | 0 |
| 15 | 2010 | 6 | |
| 16 | 2010 | 54 | |
| 17 | 2010 | 61 | |
| 18 | 2009 | 96 | |
| 19 | 2004 | 23 | |
| 20 | GIMS - a data warehouse for storage and analysis of genome sequence and functional data. Proc. 2nd Annual IEEE International Symposium on Bioinformatics and Bioengineering | 2001 | 3 |
About Karen Eilbeck
Karen Eilbeck is a scholar working on Health Information Management, Molecular Biology, Genetics, Biological Psychiatry and Cancer Research, having authored 65 papers that have together received 3.6k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (32 papers), Genomics and Phylogenetic Studies (24 papers), Bioinformatics and Genomic Networks (16 papers), Genomics and Rare Diseases (13 papers), Electronic Health Records Systems (6 papers), RNA and protein synthesis mechanisms (6 papers), Semantic Web and Ontologies (5 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Molecular Biology (2.8k citations), Artificial Intelligence (1.1k citations), Information Systems and Management (213 citations), Genetics (742 citations) and Cancer Research (302 citations). Karen Eilbeck has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Mark Yandell, Chris Mungall, Suzanna Lewis, Michael Ashburner, Alan Ruttenberg, Neocles B. Leontis, Barry Smith, Amelia Ireland, Philippe Rocca‐Serra and Susanna‐Assunta Sansone. Their work appears in journals such as Journal of Biomedical Informatics, Journal of Biomedical Semantics, Bioinformatics, Nature Reviews Genetics and Genome biology.
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.