Johannes Delp
- Developmental Neuroscience top 10%
- Small Animals top 10%
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- Neuroscience and Neuropharmacology Research 2
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- Metabolomics and Mass Spectrometry Studies 5
- Mitochondrial Function and Pathology 5
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- Computational Drug Discovery Methods 3
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- Pesticide Exposure and Toxicity 3
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- Carcinogens and Genotoxicity Assessment 2
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- Endoplasmic Reticulum Stress and Disease 2
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- Parkinson's Disease Mechanisms and Treatments 2
- Co-authors
- Marcel LeistSimon GutbierTanja WaldmannBob van de WaterGiada CartaThomas BrunnerThomas HärtungPaul Jennings
- Partner nations
- GermanyNetherlandsSweden
In The Last Decade
Johannes Delp
23 papers receiving 529 citations
Peers
Comparison fields: 5 of 88
- Developmental Neuroscience 43
- Small Animals 40
- Cellular and Molecular Neuroscience 87
- Molecular Biology 266
- Pharmacology 23
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
The 25 scholars most cited alongside Johannes Delp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 11 | |
| 6 | 2021 | 9 | |
| 7 | 2021 | 33 | |
| 8 | 2020 | 35 | |
| 9 | 2020 | 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 | 2020 | 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 | 2020 | 1 |
| 12 | 2019 | 31 | |
| 13 | 2019 | 35 | |
| 14 | 2019 | 22 | |
| 15 | 2018 | 21 | |
| 16 | 2018 | 30 | |
| 17 | 2018 | 61 | |
| 18 | 2018 | 49 | |
| 19 | 2018 | 37 | |
| 20 | 2017 | 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), Computational Drug Discovery Methods (3 papers), Pesticide Exposure and Toxicity (3 papers), Carcinogens and Genotoxicity Assessment (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 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.