Angelique M. Nelson
- Molecular Biology top 5%
- Pluripotent Stem Cells Research 15
- CRISPR and Genetic Engineering 11
- Single-cell and spatial transcriptomics 3
- Epigenetics and DNA Methylation 2
- Advanced biosensing and bioanalysis techniques 2
- Cancer Research top 5%
- MicroRNA in disease regulation 3
- Aging top 10%
- Genetics top 5%
- Virus-based gene therapy research 2
- Developmental Neuroscience top 10%
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- Zebrafish Biomedical Research Applications 2
- Co-authors
- Carol B. WareC. Anthony BlauHannele Ruohola‐BakerDaniel G. MillerMichael KybaLauren SniderGalina N. FilippovaStephen J. Tapscott
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Angelique M. Nelson
20 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 2.0k
- Cancer Research 392
- Aging 30
- Genetics 170
- Developmental Neuroscience 66
Countries citing papers authored by Angelique M. Nelson
This map shows the geographic impact of Angelique M. Nelson'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 Angelique M. Nelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelique M. Nelson more than expected).
Fields of papers citing papers by Angelique M. Nelson
This network shows the impact of papers produced by Angelique M. Nelson. 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 Angelique M. Nelson. The network helps show where Angelique M. Nelson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Angelique M. Nelson, 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 | 2021 | 36 | |
| 2 | 2019 | 33 | |
| 3 | 2017 | 162 | |
| 4 | 2015 | 14 | |
| 5 | 2015 | 159 | |
| 6 | 2014 | 360 | |
| 7 | 2013 | 87 | |
| 8 | 2012 | 23 | |
| 9 | 2010 | 123 | |
| 10 | 2010 | 364 | |
| 11 | 2009 | 134 | |
| 12 | 2008 | 40 | |
| 13 | 2008 | 247 | |
| 14 | 2007 | 237 | |
| 15 | 2006 | 50 | |
| 16 | 2006 | 97 | |
| 17 | 2005 | 68 | |
| 18 | 2003 | 31 | |
| 19 | 2003 | 6 | |
| 20 | 1963 | 5 |
About Angelique M. Nelson
Angelique M. Nelson is a scholar working on Molecular Biology, Cancer Research and Genetics, having authored 20 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (11 papers), Single-cell and spatial transcriptomics (3 papers), MicroRNA in disease regulation (3 papers), Virus-based gene therapy research (2 papers), Epigenetics and DNA Methylation (2 papers), Zebrafish Biomedical Research Applications (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Cancer Research (392 citations) and Aging (30 citations). Angelique M. Nelson has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Carol B. Ware, C. Anthony Blau, Hannele Ruohola‐Baker, Daniel G. Miller, Michael Kyba, Lauren Snider, Galina N. Filippova, Stephen J. Tapscott, Linda N. Geng and Silvère M. van der Maarel. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.