Philipp Trepte

530 total citations
10 papers, 287 citations indexed

About

Philipp Trepte is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Philipp Trepte has authored 10 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Cell Biology. Recurrent topics in Philipp Trepte's work include Mitochondrial Function and Pathology (3 papers), Genetic Neurodegenerative Diseases (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Philipp Trepte is often cited by papers focused on Mitochondrial Function and Pathology (3 papers), Genetic Neurodegenerative Diseases (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Philipp Trepte collaborates with scholars based in Germany, Austria and United States. Philipp Trepte's co-authors include Erich E. Wanker, Sigrid Schnoegl, Douglas Cyr, Hong Yu Ren, Anne Ast, Alexander Buntru, Elisabetta Menna, Jochen C. Meier, Raffaella Morini and Paola Defilippi and has published in prestigious journals such as PLoS ONE, Journal of Molecular Biology and Journal of Neurochemistry.

In The Last Decade

Philipp Trepte

9 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philipp Trepte Germany	9	232	113	80	28	25	10	287
Laurie D. Cohen Israel	5	191 0.8×	105 0.9×	93 1.2×	16 0.6×	14 0.6×	6	282
Momchil Ninov Germany	11	263 1.1×	64 0.6×	87 1.1×	30 1.1×	14 0.6×	14	397
Oksana Sorokina United Kingdom	4	165 0.7×	133 1.2×	92 1.1×	20 0.7×	16 0.6×	7	276
Mandi E. Schmidt Canada	9	206 0.9×	151 1.3×	61 0.8×	49 1.8×	43 1.7×	11	293
Ulrich Hartl Germany	4	429 1.8×	86 0.8×	86 1.1×	18 0.6×	16 0.6×	5	476
Miloš Babić United States	6	298 1.3×	68 0.6×	83 1.0×	41 1.5×	29 1.2×	9	403
Molly Foote United States	5	262 1.1×	59 0.5×	49 0.6×	46 1.6×	24 1.0×	7	333
Taylor Arhar United States	6	246 1.1×	66 0.6×	87 1.1×	97 3.5×	19 0.8×	6	344
Maxmore Chaibva United States	7	255 1.1×	222 2.0×	47 0.6×	36 1.3×	46 1.8×	9	290
Quan Gan United States	9	258 1.1×	222 2.0×	77 1.0×	23 0.8×	11 0.4×	12	349

Countries citing papers authored by Philipp Trepte

Since Specialization

Citations

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

Fields of papers citing papers by Philipp Trepte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Trepte

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

All Works

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10 of 10 papers shown

Sidhaye, Jaydeep, Philipp Trepte, Maria Novatchkova, et al.. (2023). Integrated transcriptome and proteome analysis reveals posttranscriptional regulation of ribosomal genes in human brain organoids. eLife. 12. 15 indexed citations

Secker, Christopher, et al.. (2021). CellFIE: CRISPR- and Cell Fusion-based Two-hybrid Interaction Mapping of Endogenous Proteins. Journal of Molecular Biology. 433(24). 167305–167305.

Wanker, Erich E., et al.. (2019). The pathobiology of perturbed mutant huntingtin protein–protein interactions in Huntington's disease. Journal of Neurochemistry. 151(4). 507–519. 65 indexed citations

Trepte, Philipp, Alexander Buntru, Christopher Secker, et al.. (2018). Lu TH y: a double‐readout bioluminescence‐based two‐hybrid technology for quantitative mapping of protein–protein interactions in mammalian cells. Molecular Systems Biology. 14(7). e8071–e8071. 25 indexed citations

Buntru, Alexander, et al.. (2016). Current Approaches Toward Quantitative Mapping of the Interactome. Frontiers in Genetics. 7. 74–74. 20 indexed citations

Trepte, Philipp, Alexander Buntru, Anup Arumughan, et al.. (2015). DULIP: A Dual Luminescence-Based Co-Immunoprecipitation Assay for Interactome Mapping in Mammalian Cells. Journal of Molecular Biology. 427(21). 3375–3388. 19 indexed citations

Fossati, G, Raffaella Morini, Irene Corradini, et al.. (2015). Reduced SNAP-25 increases PSD-95 mobility and impairs spine morphogenesis. Cell Death and Differentiation. 22(9). 1425–1436. 58 indexed citations

Ren, Hong Yu, et al.. (2014). Polyglutamine-Rich Suppressors of Huntingtin Toxicity Act Upstream of Hsp70 and Sti1 in Spatial Quality Control of Amyloid-Like Proteins. PLoS ONE. 9(5). e95914–e95914. 21 indexed citations

Trepte, Philipp, et al.. (2014). Spontaneous self-assembly of pathogenic huntingtin exon 1 protein into amyloid structures. Essays in Biochemistry. 56. 167–180. 13 indexed citations

10.

Ren, Hong Yu, et al.. (2013). The Hsp70/90 cochaperone, Sti1, suppresses proteotoxicity by regulating spatial quality control of amyloid-like proteins. Molecular Biology of the Cell. 24(23). 3588–3602. 51 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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