Matthias Heinemann
- Aging top 1%
- Molecular Biology top 1%
- Microbial Metabolic Engineering and Bioproduction 47
- Gene Regulatory Network Analysis 27
- Fungal and yeast genetics research 15
- Protein Structure and Dynamics 8
- Bioinformatics and Genomic Networks 8
- Enzyme Catalysis and Immobilization 7
- Metabolomics and Mass Spectrometry Studies 6
- Endocrinology top 2%
- Genetics top 1%
- Bacterial Genetics and Biotechnology 18
- Molecular Medicine top 2%
- Co-authors
- Sven PankeBenjamin VolkmerAnne KümmelUwe SauerOliver KotteAlexander SchmidtKarl KochanowskiBastian Niebel
- Cited by
- AgingMolecular BiologyEndocrinology
- Partner nations
- NetherlandsSwitzerlandGermany
In The Last Decade
Matthias Heinemann
98 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Aging 267
- Molecular Biology 5.0k
- Endocrinology 241
- Genetics 1.3k
- Molecular Medicine 196
Countries citing papers authored by Matthias Heinemann
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
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
The 25 scholars most cited alongside Matthias Heinemann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 8 | |
| 2 | 2025 | 4 | |
| 3 | 2023 | 60 | |
| 4 | 2023 | 19 | |
| 5 | 2021 | 30 | |
| 6 | 2021 | 69 | |
| 7 | 2019 | 36 | |
| 8 | 2018 | 25 | |
| 9 | 2017 | 33 | |
| 10 | 2016 | 102 | |
| 11 | The quantitative and condition-dependent Escherichia coli proteomebreakdown → | 2015 | 536 |
| 12 | 2013 | 27 | |
| 13 | 2012 | 166 | |
| 14 | 2012 | 298 | |
| 15 | 2011 | 31 | |
| 16 | 2011 | 104 | |
| 17 | 2010 | 199 | |
| 18 | Transcriptional control of metabolic fluxes and computational identification of the governing principles | 2010 | 4 |
| 19 | Industrial multi-step biotransformations | 2004 | 0 |
| 20 | Status of the Development of the Magnetospheric Specification and Forecast Model | 1993 | 7 |
About Matthias Heinemann
Matthias Heinemann is a scholar working on Aging, Biophysics and Molecular Biology, having authored 102 papers that have together received 6.5k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (47 papers), Gene Regulatory Network Analysis (27 papers), Bacterial Genetics and Biotechnology (18 papers), Fungal and yeast genetics research (15 papers), Protein Structure and Dynamics (8 papers), Bioinformatics and Genomic Networks (8 papers), Enzyme Catalysis and Immobilization (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). The work is most often cited by research in Aging (267 citations), Molecular Biology (5.0k citations) and Endocrinology (241 citations). Matthias Heinemann has collaborated with scholars based in Netherlands, Switzerland and Germany. Frequent co-authors include Sven Panke, Benjamin Volkmer, Anne Kümmel, Uwe Sauer, Oliver Kotte, Alexander Schmidt, Karl Kochanowski, Bastian Niebel, Renato Zenobi and Nicola Zamboni. Their work appears in journals such as Nature, Science and Cell.
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.