Nicholas J. Maragakis
- Neurology top 0.2%
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 0.5%
- Genetics top 0.2%
- Neurology top 0.5%
- Co-authors
- Jeffrey D. RothsteinAngelo C. LeporeAndrea C. PardoMahendra S. RaoJean‐Philippe RichardChristopher J. DonnellyRita SattlerBritta Rauck
- Topics
- Amyotrophic Lateral Sclerosis Research (74 papers)Neurogenetic and Muscular Disorders Research (55 papers)Neurogenesis and neuroplasticity mechanisms (17 papers)
- Partner nations
- United StatesNetherlandsJapan
In The Last Decade
Nicholas J. Maragakis
103 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Neurology 3.3k
- Molecular Biology 3.0k
- Cellular and Molecular Neuroscience 2.3k
- Genetics 2.2k
- Neurology 1.4k
Countries citing papers authored by Nicholas J. Maragakis
This map shows the geographic impact of Nicholas J. Maragakis'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 Nicholas J. Maragakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas J. Maragakis more than expected).
Fields of papers citing papers by Nicholas J. Maragakis
This network shows the impact of papers produced by Nicholas J. Maragakis. 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 Nicholas J. Maragakis. The network helps show where Nicholas J. Maragakis may publish in the future.
Co-authorship network of co-authors of Nicholas J. Maragakis
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas J. Maragakis. A scholar is included among the top collaborators of Nicholas J. Maragakis 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 Nicholas J. Maragakis. Nicholas J. Maragakis 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 | 6 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 39 | |
| 6 | 0 | |
| 7 | 42 | |
| 8 | 29 | |
| 9 | 47 | |
| 10 | 17 | |
| 11 | 17 | |
| 12 | 1 | |
| 13 | 48 | |
| 14 | 1 | |
| 15 | 43 | |
| 16 | 8 | |
| 17 | 87 | |
| 18 | 49 | |
| 19 | 143 | |
| 20 | 258 |
About Nicholas J. Maragakis
Nicholas J. Maragakis is a scholar working on Genetics, Neurology and Developmental Neuroscience, having authored 106 papers that have together received 7.4k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (74 papers), Neurogenetic and Muscular Disorders Research (55 papers) and Neurogenesis and neuroplasticity mechanisms (17 papers). The work is most often cited by research in Developmental Neuroscience (975 citations), Neurology (3.3k citations) and Genetics (2.2k citations). Nicholas J. Maragakis has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Jeffrey D. Rothstein, Angelo C. Lepore, Andrea C. Pardo, Mahendra S. Rao, Jean‐Philippe Richard, Christopher J. Donnelly, Rita Sattler, Britta Rauck, Jeremy M. Shefner and Jiou Wang. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.
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.