Stuart M. Chambers
- Developmental Neuroscience top 0.5%
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation 7
- Aging top 2%
- Molecular Biology top 1%
- Pluripotent Stem Cells Research 14
- CRISPR and Genetic Engineering 10
- Epigenetics and DNA Methylation 4
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- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 5
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- Mesenchymal stem cell research 4
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- 3D Printing in Biomedical Research 3
- Co-authors
- Lorenz StuderMark TomishimaMichel SadelainEirini P. PapapetrouChristopher A. FasanoMargaret A. GoodellGabsang LeeNathan C. Boles
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Stuart M. Chambers
29 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Developmental Neuroscience 859
- Hematology 937
- Aging 133
- Molecular Biology 5.0k
- Cellular and Molecular Neuroscience 1.2k
Countries citing papers authored by Stuart M. Chambers
This map shows the geographic impact of Stuart M. Chambers'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 Stuart M. Chambers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stuart M. Chambers more than expected).
Fields of papers citing papers by Stuart M. Chambers
This network shows the impact of papers produced by Stuart M. Chambers. 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 Stuart M. Chambers. The network helps show where Stuart M. Chambers may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stuart M. Chambers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2019 | 94 | |
| 3 | 2018 | 51 | |
| 4 | 2013 | 62 | |
| 5 | 2013 | 189 | |
| 6 | 2012 | 433 | |
| 7 | 2012 | 39 | |
| 8 | 2012 | 73 | |
| 9 | 2011 | 29 | |
| 10 | 2011 | 91 | |
| 11 | 2010 | 441 | |
| 12 | 2010 | 254 | |
| 13 | Highly efficient neural conversion of human ES and iPS cells by dual inhibition of SMAD signalingbreakdown → | 2009 | 2597 |
| 14 | Modelling pathogenesis and treatment of familial dysautonomia using patient-specific iPSCsbreakdown → | 2009 | 649 |
| 15 | 2008 | 2 | |
| 16 | Aging Hematopoietic Stem Cells Decline in Function and Exhibit Epigenetic Dysregulationbreakdown → | 2007 | 580 |
| 17 | 2007 | 66 | |
| 18 | 2006 | 190 | |
| 19 | 2006 | 76 | |
| 20 | 2004 | 93 |
About Stuart M. Chambers
Stuart M. Chambers is a scholar working on Hematology, Immunology, Genetics, Molecular Biology and Developmental Neuroscience, having authored 29 papers that have together received 6.8k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (14 papers), CRISPR and Genetic Engineering (10 papers), Hematopoietic Stem Cell Transplantation (7 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (5 papers), Mesenchymal stem cell research (4 papers), Epigenetics and DNA Methylation (4 papers) and 3D Printing in Biomedical Research (3 papers). The work is most often cited by research in Developmental Neuroscience (859 citations), Hematology (937 citations), Aging (133 citations), Molecular Biology (5.0k citations) and Cellular and Molecular Neuroscience (1.2k citations). Stuart M. Chambers has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Lorenz Studer, Mark Tomishima, Michel Sadelain, Eirini P. Papapetrou, Christopher A. Fasano, Margaret A. Goodell, Gabsang Lee, Nathan C. Boles, Lawrence A. Donehower and Chad A. Shaw. Their work appears in journals such as Blood, Cell stem cell, Nature Biotechnology, Stem Cells and Neoplasia.
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.