Sandy Becker
Impact in
- Developmental Neuroscience top 5%
- Molecular Biology top 10%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Renal and related cancers
- Hedgehog Signaling Pathway Studies
- Epigenetics and DNA Methylation
Papers in ⓘ
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- Neurogenesis and neuroplasticity mechanisms 3
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- Pluripotent Stem Cells Research 15
- CRISPR and Genetic Engineering 8
- Renal and related cancers 6
- Hedgehog Signaling Pathway Studies 5
- Epigenetics and DNA Methylation 5
- Developmental Biology and Gene Regulation 3
- Co-authors
- Robert Lanza (8 shared papers)Young Sun Chung (8 shared papers)Irina Klimanskaya (6 shared papers)Shi‐Jiang Lu (5 shared papers)Laura Grabel (12 shared papers)Peter Maye (4 shared papers)Noah Byrd (3 shared papers)Joel Marh (1 shared paper)
- Journals
- Nature (3 papers)Development (2 papers)Stem Cells and Development (2 papers)Developmental Biology (2 papers)Methods in enzymology on CD-ROM/Methods in enzymology (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Sandy Becker
21 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 78
- Developmental Neuroscience 89
- Molecular Biology 1.2k
- Genetics 108
- Physiology 168
- Genetics 172
Countries citing papers authored by Sandy Becker
This map shows the geographic impact of Sandy Becker'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 Sandy Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandy Becker more than expected).
Fields of papers citing papers by Sandy Becker
This network shows the impact of papers produced by Sandy Becker. 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 Sandy Becker. The network helps show where Sandy Becker may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandy Becker, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 343 | |
| 2 | 2005 | 222 | |
| 3 | 2002 | 193 | |
| 4 | 2000 | 74 | |
| 5 | 2007 | 70 | |
| 6 | 2009 | 64 | |
| 7 | 2013 | 50 | |
| 8 | 1995 | 49 | |
| 9 | 1997 | 47 | |
| 10 | 2009 | 42 | |
| 11 | 2003 | 37 | |
| 12 | 1998 | 31 | |
| 13 | 2009 | 27 | |
| 14 | 2006 | 21 | |
| 15 | 1992 | 20 | |
| 16 | 2012 | 16 | |
| 17 | 2016 | 7 | |
| 18 | 2006 | 4 | |
| 19 | 2006 | 4 | |
| 20 | 2018 | 2 |
About Sandy Becker
Sandy Becker is a scholar working on Developmental Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Genetics and Public Health, Environmental and Occupational Health, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (8 papers), Renal and related cancers (6 papers), Hedgehog Signaling Pathway Studies (5 papers), Epigenetics and DNA Methylation (5 papers), Animal Genetics and Reproduction (4 papers), Developmental Biology and Gene Regulation (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Developmental Neuroscience (89 citations), Molecular Biology (1.2k citations), Genetics (108 citations), Physiology (168 citations) and Genetics (172 citations). Sandy Becker has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Robert Lanza, Young Sun Chung, Irina Klimanskaya, Shi‐Jiang Lu, Laura Grabel, Peter Maye, Noah Byrd, Joel Marh, Lorraine F. Meisner and Julie A. Johnson. Their work appears in journals such as Nature, Development, Stem Cells and Development, Developmental Biology and Methods in enzymology on CD-ROM/Methods in enzymology.
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.