Mario Schubert

4.7k total citations · 1 hit paper
88 papers, 3.8k citations indexed

About

Mario Schubert is a scholar working on Molecular Biology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mario Schubert has authored 88 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 18 papers in Organic Chemistry and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mario Schubert's work include Glycosylation and Glycoproteins Research (23 papers), RNA and protein synthesis mechanisms (17 papers) and Carbohydrate Chemistry and Synthesis (15 papers). Mario Schubert is often cited by papers focused on Glycosylation and Glycoproteins Research (23 papers), RNA and protein synthesis mechanisms (17 papers) and Carbohydrate Chemistry and Synthesis (15 papers). Mario Schubert collaborates with scholars based in Austria, Germany and Switzerland. Mario Schubert's co-authors include Frédéric H.‐T. Allain, Hartmut Oschkinat, Peter Schmieder, Karine Lapouge, Dieter Haas, Anne Diehl, Barth‐Jan van Rossum, Kristina Rehbein, Federica Castellani and Olivier Duss and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Mario Schubert

84 papers receiving 3.8k citations

Hit Papers

Structure of a protein determined by solid-state magic-an... 2002 2026 2010 2018 2002 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Schubert Austria 29 2.3k 1.0k 728 503 403 88 3.8k
John D. Gross United States 37 3.6k 1.6× 726 0.7× 497 0.7× 408 0.8× 146 0.4× 75 5.0k
R. Andrew Byrd United States 36 2.7k 1.2× 1.1k 1.1× 765 1.1× 288 0.6× 321 0.8× 109 4.1k
Alexander S. Arseniev Russia 50 6.5k 2.8× 1.0k 1.0× 437 0.6× 1.0k 2.0× 379 0.9× 261 8.1k
Antoine Loquet France 34 1.6k 0.7× 1.5k 1.5× 802 1.1× 214 0.4× 110 0.3× 104 3.6k
D.R. Muhandiram Canada 26 3.9k 1.7× 1.1k 1.0× 1.1k 1.5× 331 0.7× 137 0.3× 42 4.8k
Gabriel Cornilescu United States 31 6.5k 2.8× 1.7k 1.7× 1.8k 2.4× 674 1.3× 281 0.7× 62 8.2k
Perttu Permi Finland 35 2.0k 0.9× 564 0.6× 488 0.7× 192 0.4× 188 0.5× 147 3.6k
Yang Shen United States 23 4.7k 2.0× 1.3k 1.3× 1.5k 2.1× 447 0.9× 110 0.3× 44 5.9k
Junji Iwahara United States 36 4.0k 1.7× 1.2k 1.1× 1.1k 1.5× 329 0.7× 100 0.2× 101 4.9k
Malene Ringkjøbing Jensen France 44 4.7k 2.0× 1.2k 1.2× 1.7k 2.4× 360 0.7× 88 0.2× 116 6.3k

Countries citing papers authored by Mario Schubert

Since Specialization
Citations

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

Fields of papers citing papers by Mario Schubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Schubert

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Schubert. A scholar is included among the top collaborators of Mario Schubert 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 Schubert. Mario Schubert 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.
Chen, Zongjia, Ruwan Epa, David Starns, et al.. (2025). Understanding the substrate recognition and catalytic mechanism of 2-O-methyl fucosidases from glycoside hydrolase family 139. Journal of Biological Chemistry. 301(8). 110407–110407.
2.
Campa, Maria Fernanda, et al.. (2024). Impact of prescribed fire on soil microbial communities in a Southern Appalachian Forest clear-cut. Frontiers in Microbiology. 15. 1322151–1322151. 2 indexed citations
3.
Schulze, Julia, Olga G. Ovchinnikova, Andrea Bethe, et al.. (2024). Transition transferases prime bacterial capsule polymerization. Nature Chemical Biology. 21(1). 120–130. 6 indexed citations
4.
Hofer, Thomas S., et al.. (2024). Impact of 2-hydroxypropyl-β-cyclodextrin inclusion complex formation on dopamine receptor-ligand interaction – A case study. Biochemical Pharmacology. 226. 116340–116340. 1 indexed citations
5.
Schubert, Mario, et al.. (2023). Stereochemistry-Driven Interactions of α,γ-Peptide Ligands with the Neuropeptide Y Y4-Receptor. Journal of Medicinal Chemistry. 66(14). 9642–9657. 2 indexed citations
6.
Cifuente, Javier O., Julia Schulze, Andrea Bethe, et al.. (2023). A multi-enzyme machine polymerizes the Haemophilus influenzae type b capsule. Nature Chemical Biology. 19(7). 865–877. 12 indexed citations
7.
Lenza, María Pia, Corwin M. Nycholat, Iker Oyenarte, et al.. (2022). Structures of the Inhibitory Receptor Siglec-8 in Complex with a High-Affinity Sialoside Analogue and a Therapeutic Antibody. JACS Au. 3(1). 204–215. 9 indexed citations
8.
Moazzam, Ali, et al.. (2021). A Conformationally Stable Acyclic β‐Hairpin Scaffold Tolerating the Incorporation of Poorly β‐Sheet‐Prone Amino Acids. ChemBioChem. 23(4). e202100604–e202100604. 9 indexed citations
10.
Regl, Christof, et al.. (2021). Detecting aspartate isomerization and backbone cleavage after aspartate in intact proteins by NMR spectroscopy. Journal of Biomolecular NMR. 75(1). 71–82. 14 indexed citations
12.
Wildner, Sabrina, Sara Huber, Michael Hauser, et al.. (2020). Hydrogen/deuterium exchange memory NMR reveals structural epitopes involved in IgE cross-reactivity of allergenic lipid transfer proteins. Journal of Biological Chemistry. 295(51). 17398–17410. 13 indexed citations
13.
Gerardy‐Schahn, Rita, et al.. (2020). An enzyme-based protocol for cell-free synthesis of nature-identical capsular oligosaccharides from Actinobacillus pleuropneumoniae serotype 1. Journal of Biological Chemistry. 295(17). 5771–5784. 7 indexed citations
14.
Milet‐Pinheiro, Paulo, Arthur Domingos‐Melo, Daniela Maria do Amaral Ferraz Navarro, et al.. (2020). A Semivolatile Floral Scent Marks the Shift to a Novel Pollination System in Bromeliads. Current Biology. 31(4). 860–868.e4. 17 indexed citations
15.
Heethoff, Michael, Adrian Brückner, Sebastian Schmelzle, et al.. (2018). Life as a fortress – structure, function, and adaptive values of morphological and chemical defense in the oribatid mite Euphthiracarus reticulatus (Actinotrichida). BMC Zoology. 3(1). 6 indexed citations
16.
Elsässer, Brigitta, Mario Schubert, Nicole Maeding, et al.. (2017). Targeting of a Helix‐Loop‐Helix Transcriptional Regulator by a Short Helical Peptide. ChemMedChem. 12(18). 1497–1503. 7 indexed citations
17.
Zhang, Zhentao, Obiamaka Obianyo, Elfriede Dall, et al.. (2017). Inhibition of delta-secretase improves cognitive functions in mouse models of Alzheimer’s disease. Nature Communications. 8(1). 14740–14740. 115 indexed citations
18.
Schubert, Mario, et al.. (2012). A procedure to validate and correct the 13C chemical shift calibration of RNA datasets. Journal of Biomolecular NMR. 52(2). 179–190. 28 indexed citations
19.
Schubert, Mario, et al.. (2001). MUSIC and aromatic residues: Amino acid type-selective backbone 15N/ 1H correlations, part III. Journal of Magnetic Resonance. 186–192. 3 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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