Dorothea Emig

1.0k total citations
12 papers, 644 citations indexed

About

Dorothea Emig is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dorothea Emig has authored 12 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 1 paper in Pathology and Forensic Medicine and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Dorothea Emig's work include Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Dorothea Emig is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Dorothea Emig collaborates with scholars based in Germany, United States and Hungary. Dorothea Emig's co-authors include Mario Albrecht, Jan Baumbach, Thomas Lengauer, Nathan Salomonis, Bruce R. Conklin, Alexander E. Ivliev, Marina Bessarabova, Yuri Nikolsky, Lee Lancashire and Svetlana Bureeva and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Dorothea Emig

12 papers receiving 627 citations

Peers

Dorothea Emig

MB

CTM

CR

CB

IMMUN

Sven Heinicke United States

Phani Garapati United Kingdom

Marina Bessarabova United States

Anita Palma Italy

Natalja Kurbatova United Kingdom

Dávid Fazekas Hungary

Sabry Razick Norway

Rochelle F. McAdam Canada

Craig Wallin United States

Abbey D. Zuehlke United States

Sven Heinicke United States

Dorothea Emig

717 ×1.4

MB

136 ×0.8

CTM

57 ×0.9

CR

37 ×0.8

CB

28 ×0.7

IMMUN

Citations per year, relative to Dorothea Emig Dorothea Emig (= 1×) peers Sven Heinicke

Countries citing papers authored by Dorothea Emig

Since Specialization

Citations

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

Fields of papers citing papers by Dorothea Emig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dorothea Emig

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

All Works

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12 of 12 papers shown

1.

Emig, Dorothea, Alexander E. Ivliev, Lee Lancashire, et al.. (2013). Drug Target Prediction and Repositioning Using an Integrated Network-Based Approach. PLoS ONE. 8(4). e60618–e60618. 172 indexed citations

2.

Zeke, András, Gergő Gógl, I Törö, et al.. (2012). Specificity of Linear Motifs That Bind to a Common Mitogen-Activated Protein Kinase Docking Groove. Science Signaling. 5(245). ra74–ra74. 133 indexed citations

3.

Emig, Dorothea, Tim Kacprowski, & Mario Albrecht. (2011). Measuring and analyzing tissue specificity of human genes and protein complexes. PubMed. 2011(1). 5–5. 14 indexed citations

4.

Emig, Dorothea, Oliver Sander, Gabriele Mayr, & Mario Albrecht. (2011). Structure Collisions between Interacting Proteins. PLoS ONE. 6(6). e19581–e19581. 3 indexed citations

5.

Emig, Dorothea & Mario Albrecht. (2011). Tissue-Specific Proteins and Functional Implications. Journal of Proteome Research. 10(4). 1893–1903. 29 indexed citations

6.

Wittkop, Tobias, et al.. (2011). Comprehensive cluster analysis with Transitivity Clustering. Nature Protocols. 6(3). 285–295. 39 indexed citations

7.

Emig, Dorothea, Nathan Salomonis, Jan Baumbach, et al.. (2010). AltAnalyze and DomainGraph: analyzing and visualizing exon expression data. Nucleic Acids Research. 38(suppl_2). W755–W762. 230 indexed citations

8.

Blankenburg, Hagen, ROBERT FINN, Andreas Prlić, et al.. (2009). DASMI: exchanging, annotating and assessing molecular interaction data. Bioinformatics. 25(10). 1321–1328. 11 indexed citations

9.

Emig, Dorothea, Melissa Cline, Thomas Lengauer, & Mario Albrecht. (2008). Integrating expression data with domain interaction networks. Bioinformatics. 24(21). 2546–2548. 8 indexed citations

10.

Emig, Dorothea, Melissa Cline, Karsten Klein, et al.. (2008). Integrative Visual Analysis of the Effects of Alternative Splicing on Protein Domain Interaction Networks. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 5(2). 1 indexed citations

11.

Emig, Dorothea, Melissa Cline, Karsten Klein, et al.. (2008). Integrative Visual Analysis of the Effects of Alternative Splicing on Protein Domain Interaction Networks. PubMed. 5(2). 2 indexed citations

12.

Emig, Dorothea, et al.. (2008). Visualizing Domain Interaction Networks and the Impact of Alternative Splicing Events. Max Planck Institute for Plasma Physics. 2. 36–43. 2 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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