André Mateus

5.1k total citations · 3 hit papers
51 papers, 2.5k citations indexed

About

André Mateus is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, André Mateus has authored 51 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 9 papers in Spectroscopy and 7 papers in Genetics. Recurrent topics in André Mateus's work include Advanced Proteomics Techniques and Applications (8 papers), Protein Structure and Dynamics (7 papers) and Bacterial Genetics and Biotechnology (7 papers). André Mateus is often cited by papers focused on Advanced Proteomics Techniques and Applications (8 papers), Protein Structure and Dynamics (7 papers) and Bacterial Genetics and Biotechnology (7 papers). André Mateus collaborates with scholars based in Sweden, Germany and United States. André Mateus's co-authors include Mikhail M. Savitski, Athanasios Typas, Per Artursson, Frank Stein, Nils Kurzawa, Pär Matsson, Dominic Helm, Jacob Bobonis, Isabelle Becher and Peer Bork and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

André Mateus

44 papers receiving 2.5k citations

Hit Papers

The functional landscape of the human phosphoproteome 2018 2026 2020 2023 2019 2018 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
André Mateus Sweden 24 1.5k 474 280 246 245 51 2.5k
Jani Reddy Bolla United Kingdom 29 1.3k 0.8× 378 0.8× 161 0.6× 361 1.5× 110 0.4× 58 2.3k
Andreas Larsson Sweden 21 1.9k 1.2× 282 0.6× 397 1.4× 89 0.4× 312 1.3× 55 2.9k
Shozeb Haider United Kingdom 37 3.7k 2.4× 137 0.3× 323 1.2× 181 0.7× 147 0.6× 141 4.7k
Steffen Lindert United States 32 1.9k 1.3× 431 0.9× 130 0.5× 75 0.3× 552 2.3× 96 2.8k
Nina M. Haste United States 23 1.9k 1.2× 122 0.3× 229 0.8× 95 0.4× 175 0.7× 29 2.8k
Philip Timmerman Belgium 25 1.5k 1.0× 240 0.5× 188 0.7× 218 0.9× 159 0.6× 100 3.6k
Nicholas Furnham United Kingdom 26 1.8k 1.2× 115 0.2× 100 0.4× 168 0.7× 348 1.4× 55 2.5k
Francesca Spyrakis Italy 30 1.7k 1.1× 151 0.3× 126 0.5× 293 1.2× 646 2.6× 113 2.9k
Luiz Pedro S. de Carvalho United Kingdom 32 2.4k 1.6× 77 0.2× 313 1.1× 285 1.2× 139 0.6× 69 3.9k
Andrew Sharff United States 21 2.7k 1.7× 130 0.3× 464 1.7× 497 2.0× 215 0.9× 31 4.3k

Countries citing papers authored by André Mateus

Since Specialization
Citations

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

Fields of papers citing papers by André Mateus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of André Mateus

This figure shows the co-authorship network connecting the top 25 collaborators of André Mateus. A scholar is included among the top collaborators of André Mateus 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 André Mateus. André Mateus 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.
Zhou, Xin J., et al.. (2025). Nigericin Induces Paraptosis‐Like Cell Death Instead of Pyroptosis in Corneal Keratocytes. The FASEB Journal. 39(12). e70740–e70740. 1 indexed citations
2.
Müller, Patrick, et al.. (2025). Antagonistic drug interactions protect commensal Bacteroidaceae from macrolides via an RND-type efflux pump. Gut Microbes. 17(1). 2596806–2596806.
3.
Wartel, Morgane, et al.. (2025). Systematic screen uncovers regulator contributions to chemical cues in Escherichia coli. PLoS Biology. 23(7). e3003260–e3003260. 1 indexed citations
4.
Zhou, Xin J., Jialin Chen, Shaochun Zhu, et al.. (2025). Impact of Static Myoblast Loading on Protein Secretion Linked to Tenocyte Migration. Journal of Proteome Research. 24(5). 2529–2541.
5.
Aliashkevich, Alena, Laura Álvarez, André Mateus, et al.. (2024). LD-transpeptidation is crucial for fitness and polar growth in Agrobacterium tumefaciens. PLoS Genetics. 20(10). e1011449–e1011449.
6.
Zhou, Xin J., et al.. (2024). Mechanical Loading Modulates AMPK and mTOR Signaling in Muscle Cells. Journal of Proteome Research. 23(10). 4286–4295. 4 indexed citations
7.
Torrens, Gabriel, Marcin Krupka, Roberto Melero, et al.. (2024). Flotillin-mediated stabilization of unfolded proteins in bacterial membrane microdomains. Nature Communications. 15(1). 5583–5583. 4 indexed citations
8.
Mateus, André, et al.. (2024). Teaching protein structure and function through molecular visualization. Biochemistry and Molecular Biology Education. 53(1). 15–20.
9.
García‐Santamarina, Sarela, Michael Kuhn, Saravanan Devendran, et al.. (2024). Emergence of community behaviors in the gut microbiota upon drug treatment. Cell. 187(22). 6346–6357.e20. 18 indexed citations
10.
Irazoki, Oihane, Josy ter Beek, Laura Álvarez, et al.. (2023). d-amino acids signal a stress-dependent run-away response in Vibrio cholerae. Nature Microbiology. 8(8). 1549–1560. 18 indexed citations
11.
Cacace, Elisabetta, Vladislav Kim, Vallo Varik, et al.. (2023). Systematic analysis of drug combinations against Gram-positive bacteria. Nature Microbiology. 8(11). 2196–2212. 31 indexed citations
12.
Cendejas‐Bueno, Emilio, Dhananjay Shinde, André Mateus, et al.. (2022). Transient Glycolytic Complexation of Arsenate Enhances Resistance in the Enteropathogen Vibrio cholerae. mBio. 13(5). e0165422–e0165422. 4 indexed citations
13.
Banzhaf, Manuel, Hamish C. L. Yau, Jolanda Verheul, et al.. (2020). Outer membrane lipoprotein NlpI scaffolds peptidoglycan hydrolases within multi‐enzyme complexes in Escherichia coli. The EMBO Journal. 39(5). e102246–e102246. 63 indexed citations
14.
Kurzawa, Nils, Isabelle Becher, Sindhuja Sridharan, et al.. (2020). A computational method for detection of ligand-binding proteins from dose range thermal proteome profiles. Nature Communications. 11(1). 5783–5783. 32 indexed citations
15.
Ochoa, David, Andrew F. Jarnuczak, Cristina Viéitez, et al.. (2019). The functional landscape of the human phosphoproteome. Nature Biotechnology. 38(3). 365–373. 300 indexed citations breakdown →
16.
Brochado, Ana Rita, Anja Telzerow, Jacob Bobonis, et al.. (2018). Species-specific activity of antibacterial drug combinations. Nature. 559(7713). 259–263. 267 indexed citations breakdown →
17.
Llona‐Minguez, Sabin, Andreas Höglund, Elisée Wiita, et al.. (2017). Identification of Triazolothiadiazoles as Potent Inhibitors of the dCTP Pyrophosphatase 1. Journal of Medicinal Chemistry. 60(5). 2148–2154. 18 indexed citations
18.
Mateus, André, et al.. (2016). Thermal proteome profiling: unbiased assessment of protein state through heat-induced stability changes. Proteome Science. 15(1). 13–13. 114 indexed citations
19.
Vildhede, Anna, André Mateus, Yurong Lai, et al.. (2016). Mechanistic Modeling of Pitavastatin Disposition in Sandwich-Cultured Human Hepatocytes: A Proteomics-Informed Bottom-Up Approach. Drug Metabolism and Disposition. 44(4). 505–516. 45 indexed citations
20.
Gordon, Laurie, Per Artursson, Michael M. Hann, et al.. (2015). Direct Measurement of Intracellular Compound Concentration by RapidFire Mass Spectrometry Offers Insights into Cell Permeability. SLAS DISCOVERY. 21(2). 156–164. 43 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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