Johannes Delp
- Molecular Biology
- Cellular and Molecular Neuroscience
- Physiology
- Developmental Neuroscience top 10%
- Small Animals top 10%
- Co-authors
- Marcel LeistSimon GutbierTanja WaldmannBob van de WaterGiada CartaThomas BrunnerThomas HärtungPaul Jennings
- Topics
- Metabolomics and Mass Spectrometry Studies (5 papers)Mitochondrial Function and Pathology (5 papers)Computational Drug Discovery Methods (3 papers)
- Partner nations
- GermanyNetherlandsSweden
In The Last Decade
Johannes Delp
23 papers receiving 529 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 266
- Cellular and Molecular Neuroscience 87
- Physiology 55
- Developmental Neuroscience 43
- Small Animals 40
Countries citing papers authored by Johannes Delp
This map shows the geographic impact of Johannes Delp'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 Delp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johannes Delp more than expected).
Fields of papers citing papers by Johannes Delp
This network shows the impact of papers produced by Johannes Delp. 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 Delp. The network helps show where Johannes Delp may publish in the future.
Co-authorship network of co-authors of Johannes Delp
This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Delp. A scholar is included among the top collaborators of Johannes Delp 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 Delp. Johannes Delp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 11 | |
| 6 | 9 | |
| 7 | 33 | |
| 8 | 35 | |
| 9 | 21 | |
| 10 | Case study on the use of integrated approaches to testing and assessment for mitochondrial complex-iii-mediated neurotoxicity of azoxystrobin : read-across to other strobilurins | 1 |
| 11 | Case study on the use of integrated approaches to testing and assessment for identification and characterisation of parkinsonian hazard liability of deguelin by an aop-based testing and read across approach | 1 |
| 12 | 31 | |
| 13 | 35 | |
| 14 | 22 | |
| 15 | 21 | |
| 16 | 30 | |
| 17 | 61 | |
| 18 | 49 | |
| 19 | 37 | |
| 20 | 23 |
About Johannes Delp
Johannes Delp is a scholar working on Physiology, Neurology and Computational Theory and Mathematics, having authored 23 papers that have together received 530 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (5 papers), Mitochondrial Function and Pathology (5 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Developmental Neuroscience (43 citations), Small Animals (40 citations) and Cellular and Molecular Neuroscience (87 citations). Johannes Delp has collaborated with scholars based in Germany, Netherlands and Sweden. Frequent co-authors include Marcel Leist, Simon Gutbier, Tanja Waldmann, Bob van de Water, Giada Carta, Thomas Brunner, Thomas Härtung, Paul Jennings, Lena Smirnova and Anna Forsby. Their work appears in journals such as Bioinformatics, Oncogene and Cell Death and Differentiation.
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.