Martin Müller
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Cell Biology top 2%
- Automotive Engineering top 2%
- Immunology top 10%
- Co-authors
- Graeme W. DavisRalf SchneggenburgerUwe FreyDietmar KuhlStephan J. SigristFelix FelmyMarkus FendtIgor Delvendahl
- Topics
- Cellular transport and secretion (12 papers)Neuroscience and Neuropharmacology Research (11 papers)Neurobiology and Insect Physiology Research (10 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Martin Müller
62 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 161
- Molecular Biology 1.3k
- Cellular and Molecular Neuroscience 1.2k
- Cell Biology 680
- Automotive Engineering 417
- Immunology 358
Countries citing papers authored by Martin Müller
This map shows the geographic impact of Martin Müller'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 Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Müller more than expected).
Fields of papers citing papers by Martin Müller
This network shows the impact of papers produced by Martin Müller. 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 Müller. The network helps show where Martin Müller may publish in the future.
Co-authorship network of co-authors of Martin Müller
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Müller. A scholar is included among the top collaborators of Martin Müller 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 Müller. Martin Müller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 14 | |
| 5 | 8 | |
| 6 | 38 | |
| 7 | 48 | |
| 8 | 79 | |
| 9 | 78 | |
| 10 | 97 | |
| 11 | 178 | |
| 12 | 52 | |
| 13 | 50 | |
| 14 | 12 | |
| 15 | 40 | |
| 16 | 3 | |
| 17 | 95 | |
| 18 | ULTRASTRUCTURE OF THE VEGETATIVE CELLS OF NOSTOC FLAGELLIFORME PREPARED WITH HIGH PRESSURE FREEZING AND FREEZE SUBSTITUTION TECHNIQUE | 5 |
| 19 | Ultrastructure of the Floral Nectary of Arabidopsis thaliana L. Prepared from High Pressure Freezing and Freeze Substitution | 10 |
| 20 | 3 |
About Martin Müller
Martin Müller is a scholar working on Aging, Cellular and Molecular Neuroscience and Cell Biology, having authored 65 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cellular transport and secretion (12 papers), Neuroscience and Neuropharmacology Research (11 papers) and Neurobiology and Insect Physiology Research (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Transportation (290 citations) and Cell Biology (680 citations). Martin Müller has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Graeme W. Davis, Ralf Schneggenburger, Uwe Frey, Dietmar Kuhl, Stephan J. Sigrist, Felix Felmy, Markus Fendt, Igor Delvendahl, Edward C.G. Pym and Amy H.Y. Tong. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.