Marcel M. Daadi
Impact in
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 2%
- Mesenchymal stem cell research
Papers in
-
- Pluripotent Stem Cells Research 22
- CRISPR and Genetic Engineering 7
-
- Nerve injury and regeneration 13
- Neuroscience and Neural Engineering 8
- Nuclear Receptors and Signaling 8
- Co-authors
- Gary K. Steinberg (13 shared papers)Raphaël Guzman (1 shared paper)Tonya Bliss (3 shared papers)Samuel Weiss (2 shared papers)Joseph C. Wu (3 shared papers)Ahmet Arac (3 shared papers)Zongjin Li (3 shared papers)Brad A. Grueter (3 shared papers)
- Journals
- Experimental Neurology (5 papers)Stroke (4 papers)Cell Transplantation (3 papers)Regenerative Medicine (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Marcel M. Daadi
51 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 91
- Developmental Neuroscience 715
- Genetics 430
- Cellular and Molecular Neuroscience 673
- Neurology 267
- Neurology 185
Countries citing papers authored by Marcel M. Daadi
This map shows the geographic impact of Marcel M. Daadi'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 Marcel M. Daadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel M. Daadi more than expected).
Fields of papers citing papers by Marcel M. Daadi
This network shows the impact of papers produced by Marcel M. Daadi. 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 Marcel M. Daadi. The network helps show where Marcel M. Daadi may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcel M. Daadi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 295 | |
| 2 | 2008 | 154 | |
| 3 | 2010 | 152 | |
| 4 | 2009 | 135 | |
| 5 | 1999 | 107 | |
| 6 | 2010 | 83 | |
| 7 | 2013 | 73 | |
| 8 | 2009 | 60 | |
| 9 | 2012 | 59 | |
| 10 | 2013 | 46 | |
| 11 | 2005 | 43 | |
| 12 | 2016 | 38 | |
| 13 | 2018 | 37 | |
| 14 | 2006 | 29 | |
| 15 | 2009 | 28 | |
| 16 | 2000 | 27 | |
| 17 | 2002 | 26 | |
| 18 | 1998 | 22 | |
| 19 | 2016 | 19 | |
| 20 | 2014 | 16 |
About Marcel M. Daadi
Marcel M. Daadi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Neurology and Genetics, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (22 papers), Neurogenesis and neuroplasticity mechanisms (20 papers), Nerve injury and regeneration (13 papers), Neuroscience and Neural Engineering (8 papers), Nuclear Receptors and Signaling (8 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), CRISPR and Genetic Engineering (7 papers) and Mesenchymal stem cell research (6 papers). The work is most often cited by research in Developmental Neuroscience (715 citations), Genetics (430 citations), Cellular and Molecular Neuroscience (673 citations), Neurology (267 citations) and Neurology (185 citations). Marcel M. Daadi has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Gary K. Steinberg, Raphaël Guzman, Tonya Bliss, Samuel Weiss, Joseph C. Wu, Ahmet Arac, Zongjin Li, Brad A. Grueter, Robert Malenka and Gourav Roy Choudhury. Their work appears in journals such as Experimental Neurology, Stroke, Cell Transplantation, Regenerative Medicine and PLoS ONE.
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.