Eithon Cadag

4.4k total citations
12 papers, 563 citations indexed

About

Eithon Cadag is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Eithon Cadag has authored 12 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Artificial Intelligence and 2 papers in Genetics. Recurrent topics in Eithon Cadag's work include Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (3 papers) and Topic Modeling (3 papers). Eithon Cadag is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (3 papers) and Topic Modeling (3 papers). Eithon Cadag collaborates with scholars based in United States. Eithon Cadag's co-authors include Özlem Uzuner, Imre Solti, Fei Xia, Peter Tarczy‐Hornoch, Peter J. Myler, Johnna D. Wesley, Steve Edelman, Ghanashyam Sarikonda, Matthias von Herrath and Lakshmi Ganesan and has published in prestigious journals such as BMC Bioinformatics, Journal of the American Medical Informatics Association and Journal of Autoimmunity.

In The Last Decade

Eithon Cadag

12 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eithon Cadag United States 7 406 376 52 52 30 12 563
Adrien Coulet France 11 267 0.7× 208 0.6× 41 0.8× 14 0.3× 69 2.3× 33 466
Tanya Podchiyska United States 7 129 0.3× 169 0.4× 18 0.3× 106 2.0× 38 1.3× 10 389
Fleur Mougin France 13 270 0.7× 240 0.6× 17 0.3× 46 0.9× 65 2.2× 52 484
Alejandro Metke‐Jimenez Australia 9 217 0.5× 258 0.7× 28 0.5× 65 1.3× 83 2.8× 21 475
Rimma Pivovarov United States 9 336 0.8× 401 1.1× 29 0.6× 167 3.2× 8 0.3× 14 676
Lana Yeganova United States 12 313 0.8× 367 1.0× 25 0.5× 22 0.4× 66 2.2× 38 596
Ergin Soysal United States 10 304 0.7× 314 0.8× 15 0.3× 52 1.0× 24 0.8× 15 513
Richard C. Kiefer United States 13 161 0.4× 176 0.5× 24 0.5× 109 2.1× 20 0.7× 33 367
Yu Lin United States 11 320 0.8× 167 0.4× 35 0.7× 25 0.5× 64 2.1× 23 438
Margaret S. Lyman United States 12 366 0.9× 350 0.9× 18 0.3× 93 1.8× 5 0.2× 29 827

Countries citing papers authored by Eithon Cadag

Since Specialization
Citations

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

Fields of papers citing papers by Eithon Cadag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eithon Cadag. 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 Eithon Cadag. The network helps show where Eithon Cadag may publish in the future.

Co-authorship network of co-authors of Eithon Cadag

This figure shows the co-authorship network connecting the top 25 collaborators of Eithon Cadag. A scholar is included among the top collaborators of Eithon Cadag 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 Eithon Cadag. Eithon Cadag is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
2.
Sarikonda, Ghanashyam, Jeremy Pettus, Sowbarnika Sachithanantham, et al.. (2014). CD8 T-cell reactivity to islet antigens is unique to type 1 while CD4 T-cell reactivity exists in both type 1 and type 2 diabetes. Journal of Autoimmunity. 50. 77–82. 68 indexed citations
3.
Cadag, Eithon, et al.. (2012). Computational analysis of pathogen-borne metallo β-lactamases reveals discriminating structural features between B1 types. BMC Research Notes. 5(1). 96–96. 14 indexed citations
4.
Cadag, Eithon, Peter Tarczy‐Hornoch, & Peter J. Myler. (2012). Learning virulent proteins from integrated query networks. BMC Bioinformatics. 13(1). 321–321. 2 indexed citations
5.
Halgrim, Scott, Fei Xia, Imre Solti, Eithon Cadag, & Özlem Uzuner. (2011). A cascade of classifiers for extracting medication information from discharge summaries. Journal of Biomedical Semantics. 2(Suppl 3). S2–S2. 15 indexed citations
6.
Cadag, Eithon & Peter Tarczy‐Hornoch. (2010). Supporting retrieval of diverse biomedical data using evidence-aware queries. Journal of Biomedical Informatics. 43(6). 873–882. 3 indexed citations
7.
Uzuner, Özlem, Imre Solti, & Eithon Cadag. (2010). Extracting medication information from clinical text. Journal of the American Medical Informatics Association. 17(5). 514–518. 331 indexed citations
8.
Uzuner, Özlem, Imre Solti, Fei Xia, & Eithon Cadag. (2010). Community annotation experiment for ground truth generation for the i2b2 medication challenge. Journal of the American Medical Informatics Association. 17(5). 519–523. 91 indexed citations
9.
Halgrim, Scott, Fei Xia, Imre Solti, Eithon Cadag, & Özlem Uzuner. (2010). Extracting Medication Information from Discharge Summaries. 61–67. 9 indexed citations
10.
Tarczy‐Hornoch, Peter, et al.. (2009). Evaluation of probabilistic and logical inference for a SNP annotation system. Journal of Biomedical Informatics. 43(3). 407–418. 1 indexed citations
11.
Cadag, Eithon, Peter Tarczy‐Hornoch, & Peter J. Myler. (2008). Learning pathogenic proteins across fractured and heterogeneous data.. PubMed. 889–889. 1 indexed citations
12.
Cadag, Eithon, et al.. (2006). BIOMEDIATOR DATA INTEGRATION AND INFERENCE FOR FUNCTIONAL ANNOTATION OF ANONYMOUS SEQUENCES. PubMed. 343–354. 23 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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