Toralf Kirsten

2.9k total citations
74 papers, 1.2k citations indexed

About

Toralf Kirsten is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Toralf Kirsten has authored 74 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 22 papers in Artificial Intelligence and 11 papers in Information Systems. Recurrent topics in Toralf Kirsten's work include Biomedical Text Mining and Ontologies (17 papers), Semantic Web and Ontologies (14 papers) and Scientific Computing and Data Management (10 papers). Toralf Kirsten is often cited by papers focused on Biomedical Text Mining and Ontologies (17 papers), Semantic Web and Ontologies (14 papers) and Scientific Computing and Data Management (10 papers). Toralf Kirsten collaborates with scholars based in Germany, United States and Switzerland. Toralf Kirsten's co-authors include Peter F. Stadler, Erhard Rahm, Markus Loeffler, Wieland Kieß, Hans Binder, Anika Groß, Michael Hartung, Mandy Vogel, Manja Marz and Aletta Bonn and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Physical Chemistry B.

In The Last Decade

Toralf Kirsten

65 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toralf Kirsten Germany 20 375 197 121 114 100 74 1.2k
Yuquan Chen China 21 165 0.4× 79 0.4× 66 0.5× 57 0.5× 170 1.7× 102 1.5k
Xue Liu China 26 404 1.1× 147 0.7× 96 0.8× 35 0.3× 340 3.4× 121 2.1k
John F. Bithell United Kingdom 6 106 0.3× 75 0.4× 28 0.2× 122 1.1× 113 1.1× 11 1.4k
Sijia Tian China 16 189 0.5× 46 0.2× 21 0.2× 165 1.4× 43 0.4× 66 1.6k
Luisa Bernardinelli Italy 24 278 0.7× 99 0.5× 120 1.0× 47 0.4× 190 1.9× 96 2.6k
Marco Geraci United States 25 146 0.4× 187 0.9× 48 0.4× 64 0.6× 604 6.0× 86 2.5k
Holger Schwender Germany 21 593 1.6× 76 0.4× 63 0.5× 61 0.5× 53 0.5× 109 1.5k
Andrius Vabalas United Kingdom 7 108 0.3× 152 0.8× 23 0.2× 131 1.1× 32 0.3× 9 1.2k
Fabian Scheipl Germany 19 163 0.4× 198 1.0× 142 1.2× 55 0.5× 55 0.6× 43 1.8k
Tracey L. Weissgerber United States 31 328 0.9× 78 0.4× 57 0.5× 43 0.4× 476 4.8× 72 3.1k

Countries citing papers authored by Toralf Kirsten

Since Specialization
Citations

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

Fields of papers citing papers by Toralf Kirsten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toralf Kirsten

This figure shows the co-authorship network connecting the top 25 collaborators of Toralf Kirsten. A scholar is included among the top collaborators of Toralf Kirsten 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 Toralf Kirsten. Toralf Kirsten 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.
Jung, Franziska, Alexander Pabst, Melanie Luppa, et al.. (2025). Depressive symptoms in individuals with overweight and obesity. Results from the LIFE-adult-study. Journal of Affective Disorders. 390. 119792–119792. 1 indexed citations
2.
Kirsten, Toralf, et al.. (2025). A user-driven consent platform for health data sharing in digital health applications. npj Digital Medicine. 8(1). 699–699.
3.
Jung, Franziska, Margrit Löbner, Christoph Engel, et al.. (2024). Associations between person-environment fit and mental health - results from the population-based LIFE-Adult-Study. BMC Public Health. 24(1). 2083–2083. 1 indexed citations
4.
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.
5.
Graf, Michael D., Luiz Olavo Bonino da Silva Santos, Stefan Decker, et al.. (2024). A study on interoperability between two Personal Health Train infrastructures in leukodystrophy data analysis. Scientific Data. 11(1). 663–663. 3 indexed citations
6.
Unterlauft, Jan Darius, et al.. (2023). Comprehensive automatic processing and analysis of adaptive optics flood illumination retinal images on healthy subjects. Biomedical Optics Express. 14(2). 945–945. 3 indexed citations
7.
Fei-Fei, Li, Hans Meine, Liliana Caldeira, et al.. (2023). Distributed Privacy-Preserving Data Analysis in NFDI4Health With the Personal Health Train. 1. 1 indexed citations
8.
Beyan, Oya, et al.. (2023). Analyzing Distributed Medical Data in FAIR Data Spaces. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1480–1484. 3 indexed citations
9.
Jung, Franziska, Alexander Pabst, Francisca S. Rodriguez, et al.. (2023). Perceived stress of mental demands at work, objective stress and resilience – an analysis of the LIFE-Adult-study. Journal of Occupational Medicine and Toxicology. 18(1). 20–20. 2 indexed citations
10.
Hussenoeder, Felix S., Ines Conrad, Alexander Pabst, et al.. (2022). Different Areas of Chronic Stress and Their Associations with Depression. International Journal of Environmental Research and Public Health. 19(14). 8773–8773. 19 indexed citations
11.
Loeffler‐Wirth, Henry, Mandy Vogel, Toralf Kirsten, et al.. (2018). Longitudinal anthropometry of children and adolescents using 3D-body scanning. PLoS ONE. 13(9). e0203628–e0203628. 7 indexed citations
12.
Karim, Md. Rezaul, Lukas Zimmermann, Toralf Kirsten, et al.. (2018). A Distributed Analytics Platform to Execute FHIR based Phenotyping Algorithms. 5 indexed citations
13.
Loeffler‐Wirth, Henry, Mandy Vogel, Toralf Kirsten, et al.. (2017). Body typing of children and adolescents using 3D-body scanning. PLoS ONE. 12(10). e0186881–e0186881. 9 indexed citations
14.
Kirsten, Toralf, et al.. (2015). Ontology-based retrieval of scientific data in LIFE.. 109–114. 1 indexed citations
15.
Kirsten, Toralf & Alexander Kiel. (2010). Ontology-based Registration of Entities for Data Integration in Large Biomedical Research Projects.. GI Jahrestagung (1). 711–720. 1 indexed citations
16.
Thor, Andreas, Michael Hartung, Anika Groß, Toralf Kirsten, & Erhard Rahm. (2009). An Evolutionbased Approach for Assessing Ontology Mappings - A Case Study in the Life Sciences.. Qucosa (Saxon State and University Library Dresden). 277–286. 2 indexed citations
17.
Thor, Andreas, Toralf Kirsten, & Erhard Rahm. (2007). Instance-based matching of hierarchical ontologies.. BTW. 436–448. 14 indexed citations
18.
Rahm, Erhard, et al.. (2005). iFuice - Information Fusion utilizing Instance Correspondences and Peer Mappings. Qucosa (Saxon State and University Library Dresden). 7–12. 15 indexed citations
19.
Kirsten, Toralf, Hai Hong, & Erhard Rahm. (2004). A Data Warehouse for Multidimensional Gene Expression Analysis. PLoS neglected tropical diseases. 17(10). e0011203–e0011203. 1 indexed citations
20.
Hong, Hai, Toralf Kirsten, & Erhard Rahm. (2003). Comparative evaluation of microarray-based gene expression databases. BTW. 482–501. 7 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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