Martin Graf
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 10%
- Psychiatry and Mental health top 10%
- Oncology
- Biomedical Engineering
- Co-authors
- Christoph PatschRoberto IaconeMargaret A. ParkPaul DentSteven GrantRalph GarippaTamar Golan‐LevUri Ben‐David
- Topics
- Pluripotent Stem Cells Research (6 papers)Neural dynamics and brain function (5 papers)Neuroscience and Neuropharmacology Research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- SwitzerlandUnited StatesAustria
In The Last Decade
Martin Graf
51 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 786
- Cellular and Molecular Neuroscience 253
- Psychiatry and Mental health 187
- Oncology 182
- Biomedical Engineering 160
Countries citing papers authored by Martin Graf
This map shows the geographic impact of Martin Graf'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 Graf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Graf more than expected).
Fields of papers citing papers by Martin Graf
This network shows the impact of papers produced by Martin Graf. 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 Graf. The network helps show where Martin Graf may publish in the future.
Co-authorship network of co-authors of Martin Graf
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Graf. A scholar is included among the top collaborators of Martin Graf 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 Graf. Martin Graf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 25 | |
| 4 | 20 | |
| 5 | 34 | |
| 6 | 9 | |
| 7 | 33 | |
| 8 | 54 | |
| 9 | 48 | |
| 10 | 250 | |
| 11 | 13 | |
| 12 | 125 | |
| 13 | 32 | |
| 14 | 40 | |
| 15 | 64 | |
| 16 | 81 | |
| 17 | 38 | |
| 18 | 5 | |
| 19 | [Electrocardiography and electrophysiologic findings in patients with myotonic muscular dystrophy]. | 5 |
| 20 | Regionale und saisonale Unterschiede in der Nahrungszusammensetzung des Grossen Mausohrs Myotis myotis (Chiroptera, Vespertilionidae) in der Schweiz | 2 |
About Martin Graf
Martin Graf is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Cognitive Neuroscience, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Neural dynamics and brain function (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Neurology (135 citations), Cellular and Molecular Neuroscience (253 citations) and Developmental Neuroscience (56 citations). Martin Graf has collaborated with scholars based in Switzerland, United States and Austria. Frequent co-authors include Christoph Patsch, Roberto Iacone, Margaret A. Park, Paul Dent, Steven Grant, Ralph Garippa, Tamar Golan‐Lev, Uri Ben‐David, Gianni Gromo and Alicia Leikin‐Frenkel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.