Vicky Brandt
Impact in
- Cognitive Neuroscience top 10%
- Memory and Neural Mechanisms
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- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
Papers in
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- DNA Repair Mechanisms 9
- CRISPR and Genetic Engineering 5
- DNA and Nucleic Acid Chemistry 3
- Fungal and yeast genetics research 2
- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 2
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- T-cell and B-cell Immunology 3
- Co-authors
- David B. Roth (10 shared papers)Huda Y. Zoghbi (1 shared paper)Alexander J. Sandweiss (1 shared paper)Yuri Dabaghian (2 shared papers)Loren M. Frank (1 shared paper)Geoffrey R. Weller (2 shared papers)Bette A. Pancake (1 shared paper)Katheryn Meek (1 shared paper)
- Journals
- Molecular Cell (3 papers)Nature Structural & Molecular Biology (2 papers)Neurology (1 paper)The EMBO Journal (1 paper)Science (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Vicky Brandt
20 papers receiving 820 citations
Peers
Comparison fields: 5 of 84
- Cognitive Neuroscience 150
- Molecular Biology 469
- Immunology 129
- Neurology 79
- Cellular and Molecular Neuroscience 96
Countries citing papers authored by Vicky Brandt
This map shows the geographic impact of Vicky Brandt'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 Vicky Brandt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vicky Brandt more than expected).
Fields of papers citing papers by Vicky Brandt
This network shows the impact of papers produced by Vicky Brandt. 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 Vicky Brandt. The network helps show where Vicky Brandt may publish in the future.
Co-authors
The 25 scholars most cited alongside Vicky Brandt, 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 | 2007 | 243 | |
| 2 | 2020 | 111 | |
| 3 | 2014 | 77 | |
| 4 | 2016 | 68 | |
| 5 | 2013 | 56 | |
| 6 | 2020 | 38 | |
| 7 | 2019 | 37 | |
| 8 | 2002 | 36 | |
| 9 | 2006 | 31 | |
| 10 | 2014 | 31 | |
| 11 | 2002 | 22 | |
| 12 | 2004 | 16 | |
| 13 | 2010 | 16 | |
| 14 | 2004 | 12 | |
| 15 | 2009 | 11 | |
| 16 | 2008 | 8 | |
| 17 | 2003 | 5 | |
| 18 | 2004 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2004 | 3 |
About Vicky Brandt
Vicky Brandt is a scholar working on Molecular Biology, Immunology, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 830 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (9 papers), CRISPR and Genetic Engineering (5 papers), T-cell and B-cell Immunology (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Fungal and yeast genetics research (2 papers), RNA Research and Splicing (2 papers), RNA and protein synthesis mechanisms (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Cognitive Neuroscience (150 citations), Molecular Biology (469 citations), Immunology (129 citations), Neurology (79 citations) and Cellular and Molecular Neuroscience (96 citations). Vicky Brandt has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include David B. Roth, Huda Y. Zoghbi, Alexander J. Sandweiss, Yuri Dabaghian, Loren M. Frank, Geoffrey R. Weller, Bette A. Pancake, Katheryn Meek, Barbara Corneo and Isaac A. Klein. Their work appears in journals such as Molecular Cell, Nature Structural & Molecular Biology, Neurology, The EMBO Journal and Science.
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.