Matthias Becker
- Molecular Biology top 10%
- Genetics top 5%
- Pulmonary and Respiratory Medicine
- Genetics top 10%
- Surgery
- Co-authors
- Gordon L. HagerAndrew C.B. CatoHelmut KlockerHeike PeterzielSam JohnSigrun MinkMarc VigneronChristopher T. Baumann
- Topics
- Epigenetics and DNA Methylation (10 papers)Single-cell and spatial transcriptomics (9 papers)Genomics and Chromatin Dynamics (8 papers)
- Cited by
- Molecular BiologyGenetics
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Matthias Becker
59 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 975
- Genetics 363
- Pulmonary and Respiratory Medicine 155
- Genetics 134
- Surgery 131
Countries citing papers authored by Matthias Becker
This map shows the geographic impact of Matthias Becker'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 Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Becker more than expected).
Fields of papers citing papers by Matthias Becker
This network shows the impact of papers produced by Matthias Becker. 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 Becker. The network helps show where Matthias Becker may publish in the future.
Co-authorship network of co-authors of Matthias Becker
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Becker. A scholar is included among the top collaborators of Matthias Becker 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 Becker. Matthias Becker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 16 | |
| 6 | 34 | |
| 7 | 3 | |
| 8 | 20 | |
| 9 | 60 | |
| 10 | 7 | |
| 11 | 71 | |
| 12 | 5 | |
| 13 | 25 | |
| 14 | 2 | |
| 15 | What Makes Protein Indigestible from Tissue, Cellular and Molecular Structure Aspects? | 9 |
| 16 | 46 | |
| 17 | 19 | |
| 18 | 35 | |
| 19 | 10 | |
| 20 | Efficiency of simple and complex diets, with high or low protein content, in rations for lactating cows. | 1 |
About Matthias Becker
Matthias Becker is a scholar working on Health Informatics, Molecular Biology and Cancer Research, having authored 60 papers that have together received 1.6k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (10 papers), Single-cell and spatial transcriptomics (9 papers) and Genomics and Chromatin Dynamics (8 papers). The work is most often cited by research in Molecular Biology (975 citations), Genetics (363 citations) and Genetics (134 citations). Matthias Becker has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Gordon L. Hager, Andrew C.B. Cato, Helmut Klocker, Heike Peterziel, Sam John, Sigrun Mink, Marc Vigneron, Christopher T. Baumann, James G. McNally and Dawn A. Walker. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Cell Biology.
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.