Karen Eilbeck

25.7k total citations · 2 hit papers
65 papers, 3.6k citations indexed

About

Karen Eilbeck is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Karen Eilbeck has authored 65 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 17 papers in Genetics and 9 papers in Artificial Intelligence. Recurrent topics in Karen Eilbeck's work include Biomedical Text Mining and Ontologies (32 papers), Genomics and Phylogenetic Studies (24 papers) and Bioinformatics and Genomic Networks (16 papers). Karen Eilbeck is often cited by papers focused on Biomedical Text Mining and Ontologies (32 papers), Genomics and Phylogenetic Studies (24 papers) and Bioinformatics and Genomic Networks (16 papers). Karen Eilbeck collaborates with scholars based in United States, United Kingdom and China. Karen Eilbeck's 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 and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Nature Biotechnology.

In The Last Decade

Karen Eilbeck

60 papers receiving 3.4k citations

Hit Papers

The OBO Foundry: coordinated evolution of ontologies to s... 2005 2026 2012 2019 2007 2005 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration
    2007 1.6k citations Barry Smith, Karen Eilbeck et al. profile →
  2. The Sequence Ontology: a tool for the unification of genome annotations
    2005 519 citations Karen Eilbeck, Suzanna Lewis et al. Genome biology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Karen Eilbeck United States 21 2.8k 1.1k 742 302 213 65 3.6k
Amelia Ireland United Kingdom 5 2.4k 0.9× 955 0.8× 360 0.5× 162 0.5× 145 0.7× 5 3.1k
Lawrence Hunter United States 43 3.8k 1.4× 2.3k 2.1× 602 0.8× 212 0.7× 137 0.6× 203 5.6k
Lynn M. Schriml United States 25 2.7k 0.9× 525 0.5× 485 0.7× 376 1.2× 64 0.3× 57 3.9k
Sven Rahmann Germany 31 2.9k 1.0× 272 0.2× 528 0.7× 508 1.7× 173 0.8× 132 4.3k
W. John Wilbur United States 34 4.1k 1.5× 2.7k 2.4× 544 0.7× 86 0.3× 95 0.4× 159 5.9k
Patricia L. Whetzel United States 14 2.8k 1.0× 1.7k 1.5× 328 0.4× 67 0.2× 303 1.4× 24 3.3k
Kei‐Hoi Cheung United States 24 1.6k 0.6× 344 0.3× 655 0.9× 79 0.3× 146 0.7× 77 2.5k
Robert Hoehndorf Saudi Arabia 32 2.9k 1.0× 1.3k 1.1× 412 0.6× 85 0.3× 125 0.6× 153 3.7k
Knut Reinert Germany 37 3.9k 1.4× 504 0.4× 1.0k 1.4× 242 0.8× 76 0.4× 124 5.0k
Yaniv Erlich United States 27 2.7k 0.9× 667 0.6× 1.4k 1.9× 687 2.3× 31 0.1× 45 4.5k

Countries citing papers authored by Karen Eilbeck

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Karen Eilbeck

This figure shows the co-authorship network connecting the top 25 collaborators of Karen Eilbeck. A scholar is included among the top collaborators of Karen Eilbeck based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karen Eilbeck. Karen Eilbeck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Bucher, Brian T., Karen Eilbeck, Michael W. Varner, et al.. (2024). Validation of administrative health data for the identification of endometriosis diagnosis. Human Reproduction. 40(2). 289–295. 2 indexed citations
4.
Lemmon, Gordon, Edgar J. Hernández, Thomas A. Miller, et al.. (2022). An explainable artificial intelligence approach for predicting cardiovascular outcomes using electronic health records. SHILAP Revista de lepidopterología. 1(1). e0000004–e0000004. 22 indexed citations
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Busby, Stephen, Joseph T. Wade, Jacques van Helden, et al.. (2020). Redefining fundamental concepts of transcription initiation in bacteria. Nature Reviews Genetics. 21(11). 699–714. 93 indexed citations
7.
Flygare, Steven, Edgar J. Hernández, Lon Phan, et al.. (2018). The VAAST Variant Prioritizer (VVP): ultrafast, easy to use whole genome variant prioritization tool. BMC Bioinformatics. 19(1). 57–57. 25 indexed citations
8.
Huang, Jingshan, Karen Eilbeck, Barry Smith, et al.. (2016). The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology. Journal of Biomedical Semantics. 7(1). 24–24. 7 indexed citations
9.
Dames, Shale, Karen Eilbeck, & Rong Mao. (2015). A High-Throughput Next-Generation Sequencing Assay for the Mitochondrial Genome. Methods in molecular biology. 1264. 77–88. 14 indexed citations
10.
Desvignes, Thomas, Peter Batzel, Eugène Berezikov, et al.. (2015). miRNA Nomenclature: A View Incorporating Genetic Origins, Biosynthetic Pathways, and Sequence Variants. Trends in Genetics. 31(11). 613–626. 147 indexed citations
11.
Cunningham, Fiona, et al.. (2015). Improving the Sequence Ontology terminology for genomic variant annotation. Journal of Biomedical Semantics. 6(1). 32–32. 20 indexed citations
12.
Welch, Brandon M., Karen Eilbeck, Guilherme Del Fiol, Laurence J. Meyer, & Kensaku Kawamoto. (2014). Technical desiderata for the integration of genomic data with clinical decision support. Journal of Biomedical Informatics. 51. 3–7. 23 indexed citations
13.
Huang, Jingshan, Jiangbo Dang, Glen M. Borchert, et al.. (2014). OMIT: Dynamic, Semi-Automated Ontology Development for the microRNA Domain. PLoS ONE. 9(7). e100855–e100855. 19 indexed citations
14.
Moore, Barry, et al.. (2012). Using GVF for Clinical Annotation of Personal Genomes..
15.
Moore, Barry, Gaofeng Fan, & Karen Eilbeck. (2010). SOBA: sequence ontology bioinformatics analysis. Nucleic Acids Research. 38(Web Server). W161–W164. 6 indexed citations
16.
Mungall, Chris, Colin Batchelor, & Karen Eilbeck. (2010). Evolution of the Sequence Ontology terms and relationships. Journal of Biomedical Informatics. 44(1). 87–93. 54 indexed citations
17.
Reese, Martin G., Barry Moore, Colin Batchelor, et al.. (2010). A standard variation file format for human genome sequences. Genome biology. 11(8). R88–R88. 61 indexed citations
18.
Eilbeck, Karen, Barry Moore, Carson Holt, & Mark Yandell. (2009). Quantitative measures for the management and comparison of annotated genomes. BMC Bioinformatics. 10(1). 67–67. 96 indexed citations
19.
Eilbeck, Karen & Suzanna Lewis. (2004). Sequence Ontology annotation guide. Comparative and Functional Genomics. 5(8). 642–647. 23 indexed citations
20.
Cornell, Michael, Norman W. Paton, Carole Goble, et al.. (2001). GIMS - a data warehouse for storage and analysis of genome sequence and functional data. Proc. 2nd Annual IEEE International Symposium on Bioinformatics and Bioengineering. Research Explorer (The University of Manchester). 3 indexed citations

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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