Gunnar Schramm
Impact in
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Metabolomics and Mass Spectrometry Studies
- Enzyme Catalysis and Immobilization
- Viral Infectious Diseases and Gene Expression in Insects
Papers in
-
- Bioinformatics and Genomic Networks 7
- Microbial Metabolic Engineering and Bioproduction 5
- Gene expression and cancer classification 3
- Gene Regulatory Network Analysis 3
- Metabolomics and Mass Spectrometry Studies 2
- Protein Structure and Dynamics 2
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- Computational Drug Discovery Methods 4
- Co-authors
- Roland Eils (9 shared papers)Rainer König (7 shared papers)Nathan E. Lewis (2 shared papers)Bernhard Ø. Palsson (2 shared papers)Ashoka D. Polpitiya (1 shared paper)Joshua A. Lerman (1 shared paper)Pep Charusanti (1 shared paper)Joshua Adkins (1 shared paper)
- Journals
- BMC Systems Biology (2 papers)BMC Bioinformatics (2 papers)Infection Genetics and Evolution (1 paper)Bioinformatics (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- GermanyNigeriaUnited States
In The Last Decade
Gunnar Schramm
13 papers receiving 901 citations
Gunnar Schramm's Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 826
- Aging 13
- Computational Theory and Mathematics 76
- Biomedical Engineering 211
- Biochemistry 25
Countries citing papers authored by Gunnar Schramm
This map shows the geographic impact of Gunnar Schramm'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 Gunnar Schramm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gunnar Schramm more than expected).
Fields of papers citing papers by Gunnar Schramm
This network shows the impact of papers produced by Gunnar Schramm. 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 Gunnar Schramm. The network helps show where Gunnar Schramm may publish in the future.
Co-authors
The 25 scholars most cited alongside Gunnar Schramm, 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 | Omic data from evolved E. coli are consistent with computed optimal growth from genome‐scale models Hit paper breakdown → | 2010 | 527 |
| 2 | 2010 | 197 | |
| 3 | 2008 | 61 | |
| 4 | 2010 | 43 | |
| 5 | 2010 | 23 | |
| 6 | 2010 | 19 | |
| 7 | 2006 | 17 | |
| 8 | 2010 | 11 | |
| 9 | 2007 | 8 | |
| 10 | 2009 | 3 | |
| 11 | [The medicinal plants and drugs of China and the importance of the Pen-Ts'ao Kang-Mu as a standard work of Chinese materia medica]. | 1955 | 1 |
| 12 | 2014 | 1 | |
| 13 | Effect of different dilution rates on the fertility of fowl semen | 1990 | 1 |
About Gunnar Schramm
Gunnar Schramm is a scholar working on Molecular Biology, Computational Theory and Mathematics, Genetics, Animal Science and Zoology and Public Health, Environmental and Occupational Health, having authored 13 papers that have together received 912 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Computational Drug Discovery Methods (4 papers), Gene expression and cancer classification (3 papers), Gene Regulatory Network Analysis (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Protein Structure and Dynamics (2 papers) and Animal Nutrition and Physiology (1 paper). The work is most often cited by research in Molecular Biology (826 citations), Aging (13 citations), Computational Theory and Mathematics (76 citations), Biomedical Engineering (211 citations) and Biochemistry (25 citations). Gunnar Schramm has collaborated with scholars based in Germany, Nigeria and United States. Frequent co-authors include Roland Eils, Rainer König, Nathan E. Lewis, Bernhard Ø. Palsson, Ashoka D. Polpitiya, Joshua A. Lerman, Pep Charusanti, Joshua Adkins, Daniel López‐Ferrer and Richard Smith. Their work appears in journals such as BMC Systems Biology, BMC Bioinformatics, Infection Genetics and Evolution, Bioinformatics and Nature Biotechnology.
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.