Matthias Heinemann

12.8k total citations · 1 hit paper
102 papers, 6.5k citations indexed

About

Matthias Heinemann is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Matthias Heinemann has authored 102 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 19 papers in Genetics and 11 papers in Biomedical Engineering. Recurrent topics in Matthias Heinemann's work include Microbial Metabolic Engineering and Bioproduction (47 papers), Gene Regulatory Network Analysis (27 papers) and Bacterial Genetics and Biotechnology (18 papers). Matthias Heinemann is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (47 papers), Gene Regulatory Network Analysis (27 papers) and Bacterial Genetics and Biotechnology (18 papers). Matthias Heinemann collaborates with scholars based in Netherlands, Switzerland and Germany. Matthias Heinemann's co-authors include Sven Panke, Benjamin Volkmer, Anne Kümmel, Uwe Sauer, Oliver Kotte, Alexander Schmidt, Karl Kochanowski, Bastian Niebel, Renato Zenobi and Nicola Zamboni and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Matthias Heinemann

98 papers receiving 6.4k citations

Hit Papers

The quantitative and condition-dependent Escherichia coli... 2015 2026 2018 2022 2015 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The quantitative and condition-dependent Escherichia coli proteome
    2015 536 citations Matthias Heinemann et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Heinemann Netherlands 45 5.0k 1.3k 1.1k 523 396 102 6.5k
Heng Zhu United States 56 10.2k 2.0× 887 0.7× 1.3k 1.1× 1.2k 2.3× 311 0.8× 170 12.8k
Jörg D. Hoheisel Germany 52 8.7k 1.7× 1.1k 0.8× 1.2k 1.1× 354 0.7× 429 1.1× 238 11.7k
Nathan E. Lewis United States 51 9.4k 1.9× 1.5k 1.2× 2.2k 2.0× 175 0.3× 344 0.9× 181 11.9k
Alexander Schmidt Switzerland 56 7.6k 1.5× 1.3k 1.0× 429 0.4× 2.8k 5.3× 484 1.2× 171 11.2k
Matteo Dal Peraro Switzerland 43 3.5k 0.7× 635 0.5× 585 0.5× 221 0.4× 376 0.9× 139 5.6k
Jennifer L. Reed United States 47 8.7k 1.7× 830 0.6× 2.6k 2.4× 314 0.6× 518 1.3× 97 10.9k
Richard A. Pfuetzner United States 35 6.7k 1.3× 1.4k 1.1× 707 0.6× 594 1.1× 420 1.1× 54 9.8k
Borries Demeler United States 49 4.9k 1.0× 691 0.5× 423 0.4× 224 0.4× 375 0.9× 213 7.3k
Daniel Wall United States 39 3.2k 0.6× 1.2k 0.9× 320 0.3× 471 0.9× 644 1.6× 85 4.6k
Gerard Cagney Ireland 42 9.4k 1.9× 787 0.6× 687 0.6× 967 1.8× 140 0.4× 109 12.3k

Countries citing papers authored by Matthias Heinemann

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Heinemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Heinemann

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Heinemann. A scholar is included among the top collaborators of Matthias Heinemann 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 Matthias Heinemann. Matthias Heinemann 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.
Li, Xiang, et al.. (2025). The rate of glucose metabolism sets the cell morphology across yeast strains and species. Current Biology. 35(4). 788–798.e4. 3 indexed citations
2.
Perret, Alain, Jean‐Louis Petit, Madeleine Bouzon, et al.. (2025). Design and implementation of aerobic and ambient CO2-reduction as an entry-point for enhanced carbon fixation. Nature Communications. 16(1). 3134–3134. 4 indexed citations
3.
Smith, Edward, et al.. (2025). Alternatives to photorespiration: A system-level analysis reveals mechanisms of enhanced plant productivity. Science Advances. 11(13). eadt9287–eadt9287. 8 indexed citations
4.
Takhaveev, Vakil, Edward Smith, Marten L. Chaillet, et al.. (2023). Temporal segregation of biosynthetic processes is responsible for metabolic oscillations during the budding yeast cell cycle. Nature Metabolism. 5(2). 294–313. 19 indexed citations
5.
Smith, Edward, Tiina Tosens, Ülo Niinemets, et al.. (2023). Improving photosynthetic efficiency toward food security: Strategies, advances, and perspectives. Molecular Plant. 16(10). 1547–1563. 60 indexed citations
6.
Heinemann, Matthias, et al.. (2022). Metabolic dynamics during the cell cycle. Current Opinion in Systems Biology. 30. 100415–100415. 6 indexed citations
7.
Heinemann, Matthias, et al.. (2021). A New Sugar for an Old Phage: a c-di-GMP-Dependent Polysaccharide Pathway Sensitizes Escherichia coli for Bacteriophage Infection. mBio. 12(6). e0324621–e0324621. 30 indexed citations
8.
Yang, Xingbo, Matthias Heinemann, Jonathon Howard, et al.. (2021). Physical bioenergetics: Energy fluxes, budgets, and constraints in cells. Proceedings of the National Academy of Sciences. 118(26). 69 indexed citations
9.
Hubmann, Georg, Athanasios Litsios, Anne C. Meinema, et al.. (2019). Saccharomyces cerevisiae goes through distinct metabolic phases during its replicative lifespan. eLife. 8. 36 indexed citations
10.
Zhang, Zheng, Andreas Milias‐Argeitis, & Matthias Heinemann. (2018). Dynamic single-cell NAD(P)H measurement reveals oscillatory metabolism throughout the E. coli cell division cycle. Scientific Reports. 8(1). 2162–2162. 25 indexed citations
11.
Litsios, Athanasios, Álvaro D. Ortega, Ernst C. Wit, & Matthias Heinemann. (2017). Metabolic-flux dependent regulation of microbial physiology. Current Opinion in Microbiology. 42. 71–78. 49 indexed citations
12.
Schuetz, Robert, Nicola Zamboni, Mattia Zampieri, Matthias Heinemann, & Uwe Sauer. (2012). Multidimensional Optimality of Microbial Metabolism. Science. 336(6081). 601–604. 298 indexed citations
13.
Lee, Sung Sik, Ima Avalos Vizcarra, Daphne H. E. W. Huberts, Luke P. Lee, & Matthias Heinemann. (2012). Whole lifespan microscopic observation of budding yeast aging through a microfluidic dissection platform. Proceedings of the National Academy of Sciences. 109(13). 4916–4920. 166 indexed citations
14.
Urban, Pawel L., Anna Mareike Schmidt, Stephan R. Fagerer, et al.. (2011). Carbon-13labelling strategy for studying the ATP metabolism in individual yeast cells by micro-arrays for mass spectrometry. Molecular BioSystems. 7(10). 2837–2840. 31 indexed citations
15.
Schümperli, Michael, et al.. (2011). Optimization of a blueprint for in vitro glycolysis by metabolic real-time analysis. Nature Chemical Biology. 7(5). 271–277. 104 indexed citations
16.
Kleijn, Roelco J., et al.. (2010). Transcriptional control of metabolic fluxes and computational identification of the governing principles. FEBS Journal. 277. 27–27. 4 indexed citations
17.
Kotte, Oliver, Judith B. Zaugg, & Matthias Heinemann. (2010). Bacterial adaptation through distributed sensing of metabolic fluxes. Molecular Systems Biology. 6(1). 355–355. 199 indexed citations
18.
Zamboni, Nicola, Anne Kümmel, & Matthias Heinemann. (2008). anNET: a tool for network-embedded thermodynamic analysis of quantitative metabolome data. BMC Bioinformatics. 9(1). 199–199. 64 indexed citations
19.
Panke, Sven, Anne Kümmel, Michael Schümperli, & Matthias Heinemann. (2004). Industrial multi-step biotransformations. Data Archiving and Networked Services (DANS). 22(9). 44–47.
20.
Hilmer, R. V., R. W. Spiro, G. H. Voigt, et al.. (1993). Status of the Development of the Magnetospheric Specification and Forecast Model. 2. 467. 7 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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