Johannes Starlinger

548 total citations
16 papers, 258 citations indexed

About

Johannes Starlinger is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Johannes Starlinger has authored 16 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Artificial Intelligence and 4 papers in Genetics. Recurrent topics in Johannes Starlinger's work include Biomedical Text Mining and Ontologies (8 papers), Topic Modeling (4 papers) and Genomics and Rare Diseases (3 papers). Johannes Starlinger is often cited by papers focused on Biomedical Text Mining and Ontologies (8 papers), Topic Modeling (4 papers) and Genomics and Rare Diseases (3 papers). Johannes Starlinger collaborates with scholars based in Germany, United States and France. Johannes Starlinger's co-authors include Ulf Leser, Philippe Thomas, Sarah Cohen‐Boulakia, Bryan Brancotte, Marc Bux, Sebastian Wandelt, Andrea Biasiucci, Matthew Fenech, Stephen Gilbert and Martin C. Hirsch and has published in prestigious journals such as Nucleic Acids Research, BMC Bioinformatics and Journal of Medical Internet Research.

In The Last Decade

Johannes Starlinger

14 papers receiving 243 citations

Peers

Johannes Starlinger
Comparison fields: 5 of 57
  • Molecular Biology 125
  • Artificial Intelligence 121
  • Information Systems and Management 39
  • Information Systems 36
  • Genetics 32
Replace Olivier Dameron with:
Olivier Dameron France
Sebastian Mate Germany
Lewis J. Frey United States
Denise Warzel United States
Ergin Soysal United States
Theodore C. Goldstein United States
Maulik R. Kamdar United States
Ali Anıl Sınacı Türkiye
George Potamias Greece
Diego Boscá Spain
Olivier Dameron France View profile →
Citations per field, relative to Johannes Starlinger
Johannes Starlinger · 1×
Citations per year, relative to Johannes Starlinger
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Countries citing papers authored by Johannes Starlinger

Since Specialization
Citations

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

Fields of papers citing papers by Johannes Starlinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Starlinger

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2 38
3 19
4 29
5 6
6 7
7 15
8 5
9 14
10 14
11 26
12
Experiences from Developing the Domain-Specific Entity Search Engine GeneView.
0
13 26
14 54
15
PiPa: custom integration of protein interactions and pathways
2
16 3

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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