Juliane Fluck

2.8k total citations
68 papers, 1.7k citations indexed

About

Juliane Fluck is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Juliane Fluck has authored 68 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 27 papers in Artificial Intelligence and 11 papers in Computational Theory and Mathematics. Recurrent topics in Juliane Fluck's work include Biomedical Text Mining and Ontologies (44 papers), Bioinformatics and Genomic Networks (21 papers) and Semantic Web and Ontologies (13 papers). Juliane Fluck is often cited by papers focused on Biomedical Text Mining and Ontologies (44 papers), Bioinformatics and Genomic Networks (21 papers) and Semantic Web and Ontologies (13 papers). Juliane Fluck collaborates with scholars based in Germany, United States and Switzerland. Juliane Fluck's 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 and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and The Journal of Immunology.

In The Last Decade

Juliane Fluck

62 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juliane Fluck Germany 19 1.2k 887 256 79 77 68 1.7k
Martin Krallinger Spain 27 2.0k 1.7× 1.4k 1.6× 339 1.3× 16 0.2× 31 0.4× 68 2.6k
Katrin Fundel Germany 12 1.1k 0.9× 694 0.8× 80 0.3× 29 0.4× 11 0.1× 17 1.5k
Alexander A. Morgan United States 28 1.5k 1.2× 806 0.9× 80 0.3× 44 0.6× 5 0.1× 44 2.3k
Lorraine Tanabe United States 13 1.9k 1.6× 831 0.9× 190 0.7× 26 0.3× 15 0.2× 19 2.3k
Francisco M. Couto Portugal 25 2.0k 1.6× 1.1k 1.2× 335 1.3× 22 0.3× 6 0.1× 138 2.6k
Christian Blaschke Spain 17 1.6k 1.3× 841 0.9× 114 0.4× 13 0.2× 8 0.1× 31 1.8k
Anand Kumar India 16 1.0k 0.9× 773 0.9× 49 0.2× 15 0.2× 3 0.0× 74 1.3k
Jin-Dong Kim Japan 28 2.2k 1.9× 2.0k 2.3× 88 0.3× 15 0.2× 11 0.1× 131 3.4k
Daniel Faria Portugal 15 1.5k 1.2× 379 0.4× 330 1.3× 48 0.6× 3 0.0× 41 1.8k
Richard A. Dean United States 18 617 0.5× 48 0.1× 158 0.6× 88 1.1× 14 0.2× 67 1.8k

Countries citing papers authored by Juliane Fluck

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Pigeot, Iris, Wolfgang Ahrens, Juliane Fluck, et al.. (2024). Making Epidemiological and Clinical Studies FAIR Using the Example of COVID-19. Datenbank-Spektrum. 24(2). 117–128.
2.
Näher, Anatol‐Fiete, et al.. (2024). NFDI4Health Workflow and Service for Synthetic Data Generation, Assessment and Risk Management. Studies in health technology and informatics. 317. 21–29. 2 indexed citations
3.
Castro, Leyla Jael, Juliane Fluck, Daniel Arend, et al.. (2023). Schema.org as a Lightweight Harmonization Approach for NFDI. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1. 1 indexed citations
4.
Bernard, Lars, et al.. (2023). Base4NFDI - Basic Services for NFDI. GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen). 1.
5.
Pigeot, Iris, et al.. (2023). NFDI4Health – Task Force COVID-19. 1. 1 indexed citations
6.
Fluck, Juliane, et al.. (2022). Pre2Pub—Tracking the Path From Preprint to Journal Article: Algorithm Development and Validation. Journal of Medical Internet Research. 24(4). e34072–e34072. 3 indexed citations
7.
Madan, Sumit, Holger Fröhlich, Juliane Fluck, et al.. (2022). Deep Learning-based detection of psychiatric attributes from German mental health records. International Journal of Medical Informatics. 161. 104724–104724. 8 indexed citations
8.
Rinaldi, Fabio, et al.. (2016). BioCreative V track 4: a shared task for the extraction of causal network information using the Biological Expression Language. Database. 2016. baw067–baw067. 21 indexed citations
9.
Madan, Sumit, Sam Ansari, Justyna Szostak, et al.. (2016). The BEL information extraction workflow (BELIEF): evaluation in the BioCreative V BEL and IAT track. Database. 2016. baw136–baw136. 11 indexed citations
10.
Fluck, Juliane, Alexander Klenner, Sumit Madan, et al.. (2013). BEL Networks Derived from Qualitative Translations of BioNLP Shared Task Annotations. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 80–88. 6 indexed citations
11.
Gurulingappa, Harsha, Abdul Mateen Rajput, Angus Roberts, et al.. (2012). Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports. Journal of Biomedical Informatics. 45(5). 885–892. 266 indexed citations
12.
Gurulingappa, Harsha, Roman Klinger, Martin Hofmann‐Apitius, & Juliane Fluck. (2010). An Empirical Evaluation of Resources for the Identification of Diseases and Adverse Effects in Biomedical Literature. PUB – Publications at Bielefeld University (Bielefeld University). 20 indexed citations
13.
Gurulingappa, Harsha, B. G. Müller, Roman Klinger, et al.. (2010). Prior Art Search in Chemistry Patents Based On Semantic Concepts and Co-Citation Analysis.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 6 indexed citations
14.
Lupu, Mihai, Jiashu Zhao, Jimmy Xiangji Huang, et al.. (2009). Overview of the TREC 2009 Chemical IR Track. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 8 indexed citations
15.
Morgan, Alexander A., Zhiyong Lu, Xinglong Wang, et al.. (2008). Overview of BioCreative II gene normalization. Genome biology. 9(S2). S3–S3. 241 indexed citations
16.
Ananiadou, Sophia & Juliane Fluck. (2006). Proceedings of the Second International Symposium on Semantic Mining in Biomedicine (SMBM). Research Explorer (The University of Manchester). 4 indexed citations
17.
Fluck, Juliane, et al.. (2006). The Autoimmune Disease Database: a dynamically compiled literature-derived database. BMC Bioinformatics. 7(1). 325–325. 30 indexed citations
18.
Niland, Stephan, et al.. (2001). Contraction-Dependent Apoptosis of Normal Dermal Fibroblasts. Journal of Investigative Dermatology. 116(5). 686–692. 57 indexed citations
19.
Fluck, Juliane, et al.. (1998). Normal Human Primary Fibroblasts Undergo Apoptosis in Three-Dimensional Contractile Collagen Gels. Journal of Investigative Dermatology. 110(2). 153–157. 107 indexed citations
20.
Fluck, Juliane, et al.. (1997). Autocrine proliferating B cells are susceptible to terminal differentiation and apoptosis. Cell Death and Differentiation. 4(8). 824–833. 1 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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