Martin Breitbach
- Surgery top 2%
- Molecular Biology top 10%
- Genetics top 1%
- Biomaterials top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Bernd K. FleischmannSten Eirik W. JacobsenJens NygrenStefan JovingeJürgen HeschelerWilhelm RöllPetter SäwénJalal Taneera
- Topics
- Tissue Engineering and Regenerative Medicine (9 papers)IoT and Edge/Fog Computing (9 papers)Pluripotent Stem Cells Research (7 papers)
- Cited by
- GeneticsBiomaterialsSurgery
- Partner nations
- GermanySwedenUnited States
In The Last Decade
Martin Breitbach
36 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Surgery 1.2k
- Molecular Biology 1.1k
- Genetics 871
- Biomaterials 445
- Cardiology and Cardiovascular Medicine 417
Countries citing papers authored by Martin Breitbach
This map shows the geographic impact of Martin Breitbach'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 Martin Breitbach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Breitbach more than expected).
Fields of papers citing papers by Martin Breitbach
This network shows the impact of papers produced by Martin Breitbach. 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 Martin Breitbach. The network helps show where Martin Breitbach may publish in the future.
Co-authorship network of co-authors of Martin Breitbach
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Breitbach. A scholar is included among the top collaborators of Martin Breitbach 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 Martin Breitbach. Martin Breitbach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 72 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | 61 | |
| 6 | 13 | |
| 7 | 50 | |
| 8 | 10 | |
| 9 | A survey on engineering approaches for self-adaptive systems (extended version) | 5 |
| 10 | 7 | |
| 11 | 24 | |
| 12 | 17 | |
| 13 | 177 | |
| 14 | 25 | |
| 15 | 21 | |
| 16 | 8 | |
| 17 | 133 | |
| 18 | 55 | |
| 19 | 54 | |
| 20 | Bone marrow–derived hematopoietic cells generate cardiomyocytes at a low frequency through cell fusion, but not transdifferentiationbreakdown → | 782 |
About Martin Breitbach
Martin Breitbach is a scholar working on Computer Networks and Communications, Genetics and Information Systems, having authored 36 papers that have together received 2.6k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (9 papers), IoT and Edge/Fog Computing (9 papers) and Pluripotent Stem Cells Research (7 papers). The work is most often cited by research in Genetics (871 citations), Biomaterials (445 citations) and Surgery (1.2k citations). Martin Breitbach has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Bernd K. Fleischmann, Sten Eirik W. Jacobsen, Jens Nygren, Stefan Jovinge, Jürgen Hescheler, Wilhelm Röll, Petter Säwén, Jalal Taneera, G. Mall and Kerstin Amann. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Blood.
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.