Juliane Fluck
- Molecular Biology top 10%
- Artificial Intelligence top 1%
- Computational Theory and Mathematics top 2%
- Cell Biology
- Toxicology top 2%
- Co-authors
- Martin Hofmann‐ApitiusRalf ZimmerHeinz‐Theodor MevissenDaniel HanischKatrin FundelHarsha GurulingappaLuca ToldoAngus Roberts
- Topics
- Biomedical Text Mining and Ontologies (44 papers)Bioinformatics and Genomic Networks (21 papers)Semantic Web and Ontologies (13 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Juliane Fluck
62 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.2k
- Artificial Intelligence 887
- Computational Theory and Mathematics 256
- Cell Biology 79
- Toxicology 77
Countries citing papers authored by Juliane Fluck
This map shows the geographic impact of Juliane Fluck'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 Juliane Fluck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juliane Fluck more than expected).
Fields of papers citing papers by Juliane Fluck
This network shows the impact of papers produced by Juliane Fluck. 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 Juliane Fluck. The network helps show where Juliane Fluck may publish in the future.
Co-authorship network of co-authors of Juliane Fluck
This figure shows the co-authorship network connecting the top 25 collaborators of Juliane Fluck. A scholar is included among the top collaborators of Juliane Fluck 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 Juliane Fluck. Juliane Fluck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 21 | |
| 9 | 11 | |
| 10 | BEL Networks Derived from Qualitative Translations of BioNLP Shared Task Annotations | 6 |
| 11 | 266 | |
| 12 | An Empirical Evaluation of Resources for the Identification of Diseases and Adverse Effects in Biomedical Literature | 20 |
| 13 | Prior Art Search in Chemistry Patents Based On Semantic Concepts and Co-Citation Analysis. | 6 |
| 14 | Overview of the TREC 2009 Chemical IR Track | 8 |
| 15 | 241 | |
| 16 | Proceedings of the Second International Symposium on Semantic Mining in Biomedicine (SMBM) | 4 |
| 17 | 30 | |
| 18 | 57 | |
| 19 | 107 | |
| 20 | 1 |
About Juliane Fluck
Juliane Fluck is a scholar working on Information Systems and Management, Artificial Intelligence and Molecular Biology, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (44 papers), Bioinformatics and Genomic Networks (21 papers) and Semantic Web and Ontologies (13 papers). The work is most often cited by research in Artificial Intelligence (887 citations), Toxicology (77 citations) and Molecular Biology (1.2k citations). Juliane Fluck has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Martin Hofmann‐Apitius, Ralf Zimmer, Heinz‐Theodor Mevissen, Daniel Hanisch, Katrin Fundel, Harsha Gurulingappa, Luca Toldo, Angus Roberts, Abdul Mateen Rajput and Christoph M. Friedrich. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and The Journal of Immunology.
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.