Johannes Delp

781 total citations
23 papers, 530 citations indexed

About

Johannes Delp is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Johannes Delp has authored 23 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Johannes Delp's work include Metabolomics and Mass Spectrometry Studies (5 papers), Mitochondrial Function and Pathology (5 papers) and Computational Drug Discovery Methods (3 papers). Johannes Delp is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (5 papers), Mitochondrial Function and Pathology (5 papers) and Computational Drug Discovery Methods (3 papers). Johannes Delp collaborates with scholars based in Germany, Netherlands and Sweden. Johannes Delp's co-authors include Marcel Leist, Simon Gutbier, Tanja Waldmann, Bob van de Water, Lena Smirnova, Thomas Brunner, Paul Jennings, Giada Carta, Thomas Härtung and Philipp F. Secker and has published in prestigious journals such as Bioinformatics, Oncogene and Cell Death and Differentiation.

In The Last Decade

Johannes Delp

23 papers receiving 529 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johannes Delp Germany 13 266 87 55 43 40 23 530
Mary P. Scott United Kingdom 17 189 0.7× 106 1.2× 47 0.9× 15 0.3× 27 0.7× 32 622
Jiyue Wen China 17 170 0.6× 69 0.8× 92 1.7× 30 0.7× 12 0.3× 48 628
Yun Feng China 11 218 0.8× 68 0.8× 54 1.0× 20 0.5× 8 0.2× 21 528
Jinyu Zhang China 16 280 1.1× 27 0.3× 68 1.2× 9 0.2× 13 0.3× 37 733
Qiongxia Lv China 9 175 0.7× 40 0.5× 21 0.4× 20 0.5× 18 0.5× 16 423
Evelyne Steenvoorden Netherlands 6 278 1.0× 45 0.5× 122 2.2× 11 0.3× 16 0.4× 7 498
Hyunseong Kim South Korea 15 147 0.6× 42 0.5× 137 2.5× 17 0.4× 8 0.2× 42 760
Jingyu Li China 11 259 1.0× 41 0.5× 50 0.9× 19 0.4× 5 0.1× 32 565
Wenli Zhu China 14 228 0.9× 35 0.4× 87 1.6× 13 0.3× 6 0.1× 24 592
Sayaka Mizukami Japan 13 160 0.6× 46 0.5× 13 0.2× 102 2.4× 8 0.2× 35 412

Countries citing papers authored by Johannes Delp

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Klein, Karsten, Johannes Delp, Ilinca Suciu, et al.. (2024). PathwayNexus: a tool for interactive metabolic data analysis. Bioinformatics. 40(6). 2 indexed citations
2.
Carta, Giada, Johannes Delp, Susanne Hougaard Bennekou, et al.. (2023). Transcriptional landscape of mitochondrial electron transport chain inhibition in renal cells. Cell Biology and Toxicology. 39(6). 3031–3059. 3 indexed citations
3.
Suciu, Ilinca, Johannes Delp, Simon Gutbier, et al.. (2023). Dynamic Metabolic and Transcriptional Responses of Proteasome-Inhibited Neurons. Antioxidants. 12(1). 164–164. 5 indexed citations
4.
Suciu, Ilinca, Johannes Delp, Simon Gutbier, et al.. (2023). Definition of the Neurotoxicity-Associated Metabolic Signature Triggered by Berberine and Other Respiratory Chain Inhibitors. Antioxidants. 13(1). 49–49. 4 indexed citations
5.
Tebby, Cléo, Johannes Delp, Giada Carta, et al.. (2022). A quantitative AOP of mitochondrial toxicity based on data from three cell lines. Toxicology in Vitro. 81. 105345–105345. 11 indexed citations
6.
Yang, Huan, Giada Carta, Johannes Delp, et al.. (2021). Mapping the cellular response to electron transport chain inhibitors reveals selective signaling networks triggered by mitochondrial perturbation. Archives of Toxicology. 96(1). 259–285. 9 indexed citations
7.
Carta, Giada, Johannes Delp, Anna Forsby, et al.. (2020). Multiparametric assessment of mitochondrial respiratory inhibition in HepG2 and RPTEC/TERT1 cells using a panel of mitochondrial targeting agrochemicals. Archives of Toxicology. 94(8). 2707–2729. 35 indexed citations
8.
9.
Fuscaldi, Leonardo Lima, Daiane Boff, Vívian Louise Soares de Oliveira, et al.. (2020). Shortened derivatives from native antimicrobial peptide LyeTx I: In vitro and in vivo biological activity assessment. Experimental Biology and Medicine. 246(4). 414–425. 10 indexed citations
10.
Bennekou, Susanne Hougaard, et al.. (2020). 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 indexed citations
11.
Bennekou, Susanne Hougaard, Giada Carta, Johannes Delp, et al.. (2020). 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 indexed citations
12.
Delp, Johannes, Susanne Hougaard Bennekou, Giada Carta, et al.. (2019). Development of a neurotoxicity assay that is tuned to detect mitochondrial toxicants. Archives of Toxicology. 93(6). 1585–1608. 35 indexed citations
13.
Karreman, Christiaan, et al.. (2019). Reductive modification of genetically encoded 3-nitrotyrosine sites in alpha synuclein expressed in E.coli. Redox Biology. 26. 101251–101251. 22 indexed citations
14.
Delp, Johannes, M. Eugenia Delgado, Yan Niu, et al.. (2019). Thiazolides promote G1 cell cycle arrest in colorectal cancer cells by targeting the mitochondrial respiratory chain. Oncogene. 39(11). 2345–2357. 31 indexed citations
15.
Souza‐Fagundes, Elaine M., et al.. (2018). Correlation of structural features of novel 1,2,3-triazoles with their neurotoxic and tumoricidal properties. Chemico-Biological Interactions. 291. 253–263. 21 indexed citations
16.
Secker, Philipp F., Sascha Beneke, Johannes Delp, et al.. (2018). Canagliflozin mediated dual inhibition of mitochondrial glutamate dehydrogenase and complex I: an off-target adverse effect. Cell Death and Disease. 9(2). 226–226. 61 indexed citations
17.
18.
Gutbier, Simon, Patrick May, Timo B. Trefzer, et al.. (2018). Major changes of cell function and toxicant sensitivity in cultured cells undergoing mild, quasi-natural genetic drift. Archives of Toxicology. 92(12). 3487–3503. 30 indexed citations
19.
Gutbier, Simon, Johannes Delp, Stefan Schildknecht, et al.. (2018). Prevention of neuronal apoptosis by astrocytes through thiol-mediated stress response modulation and accelerated recovery from proteotoxic stress. Cell Death and Differentiation. 25(12). 2101–2117. 37 indexed citations
20.
Delp, Johannes, Simon Gutbier, Christin Zasada, et al.. (2017). Stage-specific metabolic features of differentiating neurons: Implications for toxicant sensitivity. Toxicology and Applied Pharmacology. 354. 64–80. 23 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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