Mario Mauthe

7.2k total citations · 3 hit papers
25 papers, 3.4k citations indexed

About

Mario Mauthe is a scholar working on Epidemiology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mario Mauthe has authored 25 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 9 papers in Molecular Biology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mario Mauthe's work include Autophagy in Disease and Therapy (19 papers), Mosquito-borne diseases and control (5 papers) and Neurological diseases and metabolism (3 papers). Mario Mauthe is often cited by papers focused on Autophagy in Disease and Therapy (19 papers), Mosquito-borne diseases and control (5 papers) and Neurological diseases and metabolism (3 papers). Mario Mauthe collaborates with scholars based in Netherlands, Germany and Denmark. Mario Mauthe's co-authors include Fulvio Reggiori, Muriel Mari, Xingdong Zhou, Nikolai Engedal, Morten Luhr, Robert P. Coppes, Idil Orhon, Cecilia Rocchi, Philip V’kovski and Tassula Proikas‐Cezanne and has published in prestigious journals such as Nature, The Journal of Cell Biology and Nature Cell Biology.

In The Last Decade

Mario Mauthe

24 papers receiving 3.4k citations

Hit Papers

Chloroquine inhibits autophagic flux by decreasing autoph... 2015 2026 2018 2022 2018 2015 2019 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Mauthe Netherlands 16 1.8k 1.5k 700 400 324 25 3.4k
Nikolai Engedal Norway 25 1.5k 0.8× 1.8k 1.2× 636 0.9× 189 0.5× 304 0.9× 52 3.5k
Shun Kageyama Japan 18 1.5k 0.8× 1.7k 1.1× 520 0.7× 211 0.5× 178 0.5× 30 3.0k
Yuchen Feng China 22 1.6k 0.9× 1.5k 1.0× 475 0.7× 125 0.3× 184 0.6× 56 3.0k
Fengyi Wan United States 26 1.3k 0.7× 2.0k 1.3× 559 0.8× 212 0.5× 359 1.1× 47 4.3k
Ashish Jain Norway 26 2.4k 1.4× 2.5k 1.6× 817 1.2× 121 0.3× 440 1.4× 46 4.3k
Peter K. Kim Canada 33 2.4k 1.3× 3.2k 2.0× 1.1k 1.6× 110 0.3× 329 1.0× 70 5.1k
Masayoshi Fukasawa Japan 29 940 0.5× 2.2k 1.4× 1.1k 1.5× 274 0.7× 115 0.4× 92 3.9k
Christian Münch Germany 28 873 0.5× 2.8k 1.8× 655 0.9× 602 1.5× 125 0.4× 91 4.4k
Nathan Brady Germany 32 3.0k 1.7× 3.1k 2.0× 786 1.1× 147 0.4× 431 1.3× 45 5.9k

Countries citing papers authored by Mario Mauthe

Since Specialization
Citations

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

Fields of papers citing papers by Mario Mauthe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Mauthe

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Mauthe. A scholar is included among the top collaborators of Mario Mauthe 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 Mario Mauthe. Mario Mauthe 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.
Mauthe, Mario, Muriel Mari, Eduardo Preusser de Mattos, et al.. (2025). A chaperone-proteasome-based fragmentation machinery is essential for aggrephagy. Nature Cell Biology. 27(9). 1448–1464. 2 indexed citations
2.
Mauthe, Mario, Harm H. Kampinga, & Fulvio Reggiori. (2025). Aggregate fragmentation: the ticket to aggrephagy. Autophagy. 21(12). 3422–3424.
3.
Marmolejo-Garza, Alejandro, Teresa Mitchell, Tingting Chen, et al.. (2023). Mitochondrial dysfunction mediates neuronal cell response to DMMB photodynamic therapy. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1870(3). 119429–119429. 6 indexed citations
4.
Mauthe, Mario, et al.. (2023). Mitochondrial protein BNIP3 regulates Chikungunya virus replication in the early stages of infection. PLoS neglected tropical diseases. 17(11). e0010751–e0010751. 2 indexed citations
5.
6.
Mauthe, Mario, Harm H. Kampinga, Mark S. Hipp, & Fulvio Reggiori. (2022). Digest it all: the lysosomal turnover of cytoplasmic aggregates. Trends in Biochemical Sciences. 48(3). 216–228. 11 indexed citations
7.
Mauthe, Mario, et al.. (2022). Transcriptomic changes in autophagy-related genes are inversely correlated with inflammation and are associated with multiple sclerosis lesion pathology. Brain Behavior & Immunity - Health. 25. 100510–100510. 4 indexed citations
8.
Cong, Yingying, et al.. (2021). WDR45, one gene associated with multiple neurodevelopmental disorders. Autophagy. 17(12). 3908–3923. 41 indexed citations
9.
Mauthe, Mario, et al.. (2021). HSBP1 Is a Novel Interactor of FIP200 and ATG13 That Promotes Autophagy Initiation and Picornavirus Replication. Frontiers in Cellular and Infection Microbiology. 11. 745640–745640. 5 indexed citations
10.
Mauthe, Mario, et al.. (2020). Autophagy in Multiple Sclerosis: Two Sides of the Same Coin. Frontiers in Cellular Neuroscience. 14. 603710–603710. 41 indexed citations
11.
Peeters, Janneke G. C., Samuel Coenen, Mario Mauthe, et al.. (2018). Transcriptional and epigenetic profiling of nutrient-deprived cells to identify novel regulators of autophagy. Autophagy. 15(1). 98–112. 36 indexed citations
12.
Mauthe, Mario, Idil Orhon, Cecilia Rocchi, et al.. (2018). Chloroquine inhibits autophagic flux by decreasing autophagosome-lysosome fusion. Autophagy. 14(8). 1435–1455. 1503 indexed citations breakdown →
13.
Mauthe, Mario & Fulvio Reggiori. (2016). ATG proteins: Are we always looking at autophagy?. Autophagy. 12(12). 2502–2503. 27 indexed citations
14.
Mauthe, Mario, Martijn A. Langereis, Jennifer Jung, et al.. (2016). An siRNA screen for ATG protein depletion reveals the extent of the unconventional functions of the autophagy proteome in virus replication. The Journal of Cell Biology. 214(5). 619–635. 55 indexed citations
15.
Khaminets, Aliaksandr, Theresa Heinrich, Muriel Mari, et al.. (2015). Regulation of endoplasmic reticulum turnover by selective autophagy. Nature. 522(7556). 354–358. 720 indexed citations breakdown →
16.
Bestebroer, Jovanka, Philip V’kovski, Mario Mauthe, & Fulvio Reggiori. (2013). Hidden Behind Autophagy: The Unconventional Roles of ATG Proteins. Traffic. 14(10). 1029–1041. 97 indexed citations
17.
Vos, Kristan E. van der, Pernilla Eliasson, Tassula Proikas‐Cezanne, et al.. (2012). Modulation of glutamine metabolism by the PI(3)K–PKB–FOXO network regulates autophagy. Nature Cell Biology. 14(8). 829–837. 206 indexed citations
18.
Pfisterer, Simon G., Mario Mauthe, Patrice Codogno, & Tassula Proikas‐Cezanne. (2011). Ca2+/Calmodulin-Dependent Kinase (CaMK) Signaling via CaMKI and AMP-Activated Protein Kinase Contributes to the Regulation of WIPI-1 at the Onset of Autophagy. Molecular Pharmacology. 80(6). 1066–1075. 69 indexed citations
19.
Mauthe, Mario, et al.. (2011). Resveratrol-mediated autophagy requires WIPI-1-regulated LC3 lipidation in the absence of induced phagophore formation. Autophagy. 7(12). 1448–1461. 89 indexed citations
20.
Niessner, Heike, Daniela Beck, Tobias Sinnberg, et al.. (2010). The Farnesyl Transferase Inhibitor Lonafarnib Inhibits mTOR Signaling and Enforces Sorafenib-Induced Apoptosis in Melanoma Cells. Journal of Investigative Dermatology. 131(2). 468–479. 50 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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