Mario Dejung

918 total citations
22 papers, 519 citations indexed

About

Mario Dejung is a scholar working on Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mario Dejung has authored 22 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Epidemiology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mario Dejung's work include Trypanosoma species research and implications (6 papers), Cytomegalovirus and herpesvirus research (3 papers) and Calcium signaling and nucleotide metabolism (3 papers). Mario Dejung is often cited by papers focused on Trypanosoma species research and implications (6 papers), Cytomegalovirus and herpesvirus research (3 papers) and Calcium signaling and nucleotide metabolism (3 papers). Mario Dejung collaborates with scholars based in Germany, United States and United Kingdom. Mario Dejung's co-authors include Falk Butter, Sergi Sayols, Jean‐Yves Roignant, Núria Casas-Vila, Christian J. Janzen, Dennis Kappei, Benjamin Altenhein, Anja Freiwald, Markus Engstler and Susanne Krämer and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Mario Dejung

20 papers receiving 519 citations

Peers

Mario Dejung

EPIDE

PHEOH

IMMUN

PHYSI

Calvin Tiengwe United States

Fred D. Mast United States

Kaylen Lott United States

Sylvie Alexandre United States

Mehul Vora United States

Raphael Pavani United States

Shigeko Sato Japan

Isabelle Ernest Belgium

Tania Aguirre Venezuela

Eugene Gan United States

Calvin Tiengwe United States

Mario Dejung

281 ×0.8

245 ×1.5

EPIDE

136 ×1.3

PHEOH

29 ×0.7

IMMUN

43 ×1.0

PHYSI

Citations per year, relative to Mario Dejung Mario Dejung (= 1×) peers Calvin Tiengwe

Countries citing papers authored by Mario Dejung

Since Specialization

Citations

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

Fields of papers citing papers by Mario Dejung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Dejung

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

All Works

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20 of 20 papers shown

Abdelsalam, Mohamed, Matthias Schmidt, Sara Najafi, et al.. (2025). Identification of a Proteolysis‐Targeting‐Chimera that Addresses Activated Checkpoint Kinase‐1 Reveals its Non‐Catalytic Functions in Tumor Cells. Angewandte Chemie International Edition. 64(49). e202514788–e202514788.

Sayols, Sergi, et al.. (2025). Unraveling developmental gene regulation in holometabolous insects through comparative transcriptomics and proteomics. Communications Biology. 8(1). 980–980.

Januliene, Dovile, Martin Regensburger, Sibylle Wilfling, et al.. (2024). Activation and Purification of ß‐Glucocerebrosidase by Exploiting its Transporter LIMP‐2 – Implications for Novel Treatment Strategies in Gaucher's and Parkinson's Disease. Advanced Science. 11(25). e2401641–e2401641. 3 indexed citations

Dejung, Mario, et al.. (2023). Proteome changes of fibroblasts and endothelial cells upon incubation with human cytomegalovirus subviral Dense Bodies. Scientific Data. 10(1). 517–517. 2 indexed citations

Greither, Thomas, Mario Dejung, Hermann M. Behre, Falk Butter, & Holger Herlyn. (2023). The human sperm proteome—Toward a panel for male fertility testing. Andrology. 11(7). 1418–1436. 13 indexed citations

Schoonenberg, Vivien A. C., Mario Dejung, Michal Levin, et al.. (2023). DNA damage repair proteins across the Tree of Life. iScience. 26(6). 106778–106778. 5 indexed citations

Dejung, Mario, Falk Butter, Ella Kim, et al.. (2022). Class I HDAC overexpression promotes temozolomide resistance in glioma cells by regulating RAD18 expression. Cell Death and Disease. 13(4). 293–293. 35 indexed citations

Freiwald, Anja, Ramona Schmitt, Mario Dejung, et al.. (2022). Proteome effects of genome-wide single gene perturbations. Nature Communications. 13(1). 6153–6153. 12 indexed citations

Trindade, Sandra, Mariana De Niz, Fábio Bento, et al.. (2022). Slow growing behavior in African trypanosomes during adipose tissue colonization. Nature Communications. 13(1). 7548–7548. 20 indexed citations

10.

Dejung, Mario, et al.. (2022). Subviral Dense Bodies of Human Cytomegalovirus Induce an Antiviral Type I Interferon Response. Cells. 11(24). 4028–4028. 5 indexed citations

11.

Greither, Thomas, Mario Dejung, Hermann M. Behre, et al.. (2020). Fertility Relevance Probability Analysis Shortlists Genetic Markers for Male Fertility Impairment. Cytogenetic and Genome Research. 160(9). 506–522. 14 indexed citations

12.

Doleželová, Eva, Mario Dejung, Michal Levin, et al.. (2020). Cell-based and multi-omics profiling reveals dynamic metabolic repurposing of mitochondria to drive developmental progression of Trypanosoma brucei. PLoS Biology. 18(6). e3000741–e3000741. 27 indexed citations

13.

Becker, Kolja, Núria Casas-Vila, Mario Dejung, et al.. (2018). Quantifying post-transcriptional regulation in the development of Drosophila melanogaster. Nature Communications. 9(1). 4970–4970. 65 indexed citations

14.

Dejung, Mario, Ann M. Wehman, Johannes Schmidt, et al.. (2018). Trypanosomes can initiate nuclear export co-transcriptionally. Nucleic Acids Research. 47(1). 266–282. 19 indexed citations

15.

Kappei, Dennis, Marion Scheibe, Maciej Paszkowski‐Rogacz, et al.. (2017). Phylointeractomics reconstructs functional evolution of protein binding. Nature Communications. 8(1). 14334–14334. 23 indexed citations

16.

Despic, Vladimir, Mario Dejung, Mengting Gu, et al.. (2017). Dynamic RNA–protein interactions underlie the zebrafish maternal-to-zygotic transition. Genome Research. 27(7). 1184–1194. 52 indexed citations

17.

Casas-Vila, Núria, Sergi Sayols, Mario Dejung, et al.. (2017). The developmental proteome of Drosophila melanogaster. Genome Research. 27(7). 1273–1285. 113 indexed citations

18.

Dejung, Mario, et al.. (2017). The nuclear proteome of Trypanosoma brucei. PLoS ONE. 12(7). e0181884–e0181884. 34 indexed citations

19.

Dejung, Mario, Tomáš Skalický, Brooke Morriswood, et al.. (2016). Two flagellar BAR domain proteins in Trypanosoma brucei with stage-specific regulation. Scientific Reports. 6(1). 35826–35826. 2 indexed citations

20.

Dejung, Mario, Ines Subota, G. Dindar, et al.. (2016). Quantitative Proteomics Uncovers Novel Factors Involved in Developmental Differentiation of Trypanosoma brucei. PLoS Pathogens. 12(2). e1005439–e1005439. 67 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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