Ron Henkel

706 total citations
21 papers, 163 citations indexed

About

Ron Henkel is a scholar working on Molecular Biology, Information Systems and Management and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ron Henkel has authored 21 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Information Systems and Management and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ron Henkel's work include Bioinformatics and Genomic Networks (11 papers), Microbial Metabolic Engineering and Bioproduction (9 papers) and Scientific Computing and Data Management (8 papers). Ron Henkel is often cited by papers focused on Bioinformatics and Genomic Networks (11 papers), Microbial Metabolic Engineering and Bioproduction (9 papers) and Scientific Computing and Data Management (8 papers). Ron Henkel collaborates with scholars based in Germany, South Africa and Denmark. Ron Henkel's co-authors include Dagmar Waltemath, Olaf Wolkenhauer, Nicolas Le Novère, Stefan Teipel, Thomas Kirste, Lukas Endler, Mike Martin, Robert Hoehndorf, Wolfram Liebermeister and Kristina Yordanova and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Journal of Alzheimer s Disease.

In The Last Decade

Ron Henkel

19 papers receiving 156 citations

Peers

Ron Henkel

MB

ISM

AI

CVPR

MSOR

Gilles Kassel France

Kevin Livingston United States

Tung V. N. Nguyen United Kingdom

Autumn Cuellar New Zealand

Kostas Kavoussanakis United Kingdom

Venkatramana N. Reddy United States

Jan Trienes Germany

Stuart Pook France

Hong-Woo Chun South Korea

Lena Wiese Germany

Gilles Kassel France

Ron Henkel

46 ×0.4

MB

18 ×0.4

ISM

77 ×3.9

AI

9 ×0.5

CVPR

7 ×0.4

MSOR

Citations per year, relative to Ron Henkel Ron Henkel (= 1×) peers Gilles Kassel

Countries citing papers authored by Ron Henkel

Since Specialization

Citations

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

Fields of papers citing papers by Ron Henkel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ron Henkel

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

All Works

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20 of 20 papers shown

1.

Dugas, Martin, et al.. (2025). mdm2neo4j: Generating Graph Representations of Medical Data Models. Studies in health technology and informatics. 327. 627–631.

2.

Mazein, Alexander, Ron Henkel, Marek Ostaszewski, et al.. (2024). Graph databases in systems biology: a systematic review. Briefings in Bioinformatics. 25(6). 2 indexed citations

3.

Mazein, Alexander, Ron Henkel, Marek Ostaszewski, et al.. (2024). The Use of Graph Databases in Systems Biology: A Systematic Review. Preprints.org. 1 indexed citations

4.

Henkel, Ron, et al.. (2023). TAPP: Defining standard provenance information for clinical research data and workflows - Obstacles and opportunities. 1551–1554. 4 indexed citations

5.

Waltemath, Dagmar, et al.. (2023). Exploring New Possibilities for Research Data Exploration Using the Example of the German Core Data Set. Studies in health technology and informatics. 302. 749–750. 2 indexed citations

6.

Henkel, Ron, et al.. (2023). The MeDaX Knowledge Graph Prototype. Studies in health technology and informatics. 302. 147–148. 1 indexed citations

7.

Henkel, Ron, et al.. (2022). CovidGraph: a graph to fight COVID-19. Bioinformatics. 38(20). 4843–4845. 10 indexed citations

8.

Henkel, Ron, et al.. (2021). COVIDGraph: Connecting biomedical COVID-19 resources and computational biology models. Very Large Data Bases. 2929. 34–37. 2 indexed citations

9.

Waltemath, Dagmar, et al.. (2018). Identifying frequent patterns in biochemical reaction networks - a workflow.

10.

Waltemath, Dagmar, et al.. (2018). Identifying frequent patterns in biochemical reaction networks: a workflow. Database. 2018. 7 indexed citations

11.

Yordanova, Kristina, et al.. (2017). Situation Model for Situation-Aware Assistance of Dementia Patients in Outdoor Mobility. Journal of Alzheimer s Disease. 60(4). 1461–1476. 16 indexed citations

12.

Touré, Vasundra, Alexander Mazein, Dagmar Waltemath, et al.. (2016). STON: exploring biological pathways using the SBGN standard and graph databases. BMC Bioinformatics. 17(1). 494–494. 11 indexed citations

13.

Henkel, Ron, et al.. (2016). Finding patterns in biochemical reaction networks. Jonkoping University Library (Jönköping University). 1 indexed citations

14.

Henkel, Ron, et al.. (2016). Notions of similarity for systems biology models. Briefings in Bioinformatics. 18(1). bbw090–bbw090. 13 indexed citations

15.

Waltemath, Dagmar, et al.. (2015). Annotation-based feature extraction from sets of SBML models. Journal of Biomedical Semantics. 6(1). 20–20. 8 indexed citations

16.

Henkel, Ron, Olaf Wolkenhauer, & Dagmar Waltemath. (2015). Combining computational models, semantic annotations and simulation experiments in a graph database. Database. 2015. 36 indexed citations

17.

Waltemath, Dagmar, et al.. (2013). Improving the reuse of computational models through version control. Bioinformatics. 29(6). 742–748. 18 indexed citations

18.

Henkel, Ron, Nicolas Le Novère, Olaf Wolkenhauer, & Dagmar Waltemath. (2012). Considerations of graph-based concepts to manage of computational biology models and associated simulations.. GI-Jahrestagung. 1545–1551. 6 indexed citations

19.

Waltemath, Dagmar, Ron Henkel, Holger Meyer, & Andreas Heuer. (2011). Das Sombi-Framework zum Ermitteln geeigneter Suchfunktionen für biologische Modelldatenbasen. Datenbank-Spektrum. 11(1). 27–36. 2 indexed citations

20.

Henkel, Ron, et al.. (2010). Ranked retrieval of Computational Biology models. BMC Bioinformatics. 11(1). 423–423. 16 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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