Matthew J. Fraidakis
- Cellular and Molecular Neuroscience top 5%
- Pathology and Forensic Medicine top 5%
- Neurology top 5%
- Developmental Neuroscience top 2%
- Molecular Biology
- Co-authors
- Moshe HadaniMichal SchwartzMichael BelkinGad J VelanOtto RapalinoAmy SolomanEugenia AgranovOrly Lazarov
- Topics
- Neurogenetic and Muscular Disorders Research (4 papers)Spinal Cord Injury Research (3 papers)Hereditary Neurological Disorders (3 papers)
In The Last Decade
Matthew J. Fraidakis
14 papers receiving 790 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Cellular and Molecular Neuroscience 364
- Pathology and Forensic Medicine 357
- Neurology 241
- Developmental Neuroscience 208
- Molecular Biology 175
Countries citing papers authored by Matthew J. Fraidakis
This map shows the geographic impact of Matthew J. Fraidakis'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 Matthew J. Fraidakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Fraidakis more than expected).
Fields of papers citing papers by Matthew J. Fraidakis
This network shows the impact of papers produced by Matthew J. Fraidakis. 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 Matthew J. Fraidakis. The network helps show where Matthew J. Fraidakis may publish in the future.
Co-authorship network of co-authors of Matthew J. Fraidakis
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Fraidakis. A scholar is included among the top collaborators of Matthew J. Fraidakis 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 Matthew J. Fraidakis. Matthew J. Fraidakis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 9 | |
| 6 | 19 | |
| 7 | 59 | |
| 8 | 8 | |
| 9 | 33 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 19 | |
| 13 | Implantation of stimulated homologous macrophages results in partial recovery of paraplegic ratsbreakdown → | 630 |
| 14 | Plasma and amniotic fluid concentration of fibronectin during normal and diabetic pregnancy. | 4 |
About Matthew J. Fraidakis
Matthew J. Fraidakis is a scholar working on Developmental Neuroscience, Genetics and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 808 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (4 papers), Spinal Cord Injury Research (3 papers) and Hereditary Neurological Disorders (3 papers). The work is most often cited by research in Developmental Neuroscience (208 citations), Neurology (241 citations) and Cellular and Molecular Neuroscience (364 citations). Matthew J. Fraidakis has collaborated with scholars based in France, Greece and Sweden. Frequent co-authors include Moshe Hadani, Michal Schwartz, Michael Belkin, Gad J Velan, Otto Rapalino, Amy Soloman, Eugenia Agranov, Orly Lazarov, Reuven Gepstein and Austen Katz. Their work appears in journals such as Nature Medicine, Neurology and Experimental Neurology.
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.