William B. Vanti
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Developmental Neuroscience top 5%
Papers in
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- Receptor Mechanisms and Signaling 4
- CRISPR and Genetic Engineering 2
- Epigenetics and DNA Methylation 1
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- Nuclear Receptors and Signaling 3
- Neuropeptides and Animal Physiology 2
- Co-authors
- Asa Abeliovich (4 shared papers)Keiichi Inoue (2 shared papers)Jong‐Pil Kim (2 shared papers)Elizabeth P. Murchison (1 shared paper)Jennifer Ishii (1 shared paper)Gregory J. Hannon (1 shared paper)Sergey V. Voronov (1 shared paper)David B. Rhee (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)Journal of Molecular Biology (1 paper)Biochemical and Biophysical Research Communications (1 paper)Gene (1 paper)
- Partner nations
- United StatesCanadaSouth Africa
In The Last Decade
William B. Vanti
14 papers receiving 1.9k citations
William B. Vanti's Hit Papers
Peers
Comparison fields: 5 of 120
- Cancer Research 624
- Developmental Neuroscience 109
- Cellular and Molecular Neuroscience 444
- Molecular Biology 1.4k
- Neurology 179
Countries citing papers authored by William B. Vanti
This map shows the geographic impact of William B. Vanti'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 William B. Vanti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William B. Vanti more than expected).
Fields of papers citing papers by William B. Vanti
This network shows the impact of papers produced by William B. Vanti. 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 William B. Vanti. The network helps show where William B. Vanti may publish in the future.
Co-authors
The 25 scholars most cited alongside William B. Vanti, 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 | A MicroRNA Feedback Circuit in Midbrain Dopamine Neurons Hit paper breakdown → | 2007 | 964 |
| 2 | 2012 | 296 | |
| 3 | 2006 | 172 | |
| 4 | 2001 | 170 | |
| 5 | 2012 | 111 | |
| 6 | 2015 | 64 | |
| 7 | 2018 | 45 | |
| 8 | 2003 | 42 | |
| 9 | 2001 | 40 | |
| 10 | 2001 | 23 | |
| 11 | 2003 | 22 | |
| 12 | 2017 | 8 | |
| 13 | 2024 | 3 | |
| 14 | Homo naledi’s frontal lobe: Modern in form, ancestral in size | 2017 | 1 |
About William B. Vanti
William B. Vanti is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Anthropology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 14 papers that have together received 2.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Nuclear Receptors and Signaling (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Neuropeptides and Animal Physiology (2 papers), Pleistocene-Era Hominins and Archaeology (2 papers), CRISPR and Genetic Engineering (2 papers), Plant and Fungal Interactions Research (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (624 citations), Developmental Neuroscience (109 citations), Cellular and Molecular Neuroscience (444 citations), Molecular Biology (1.4k citations) and Neurology (179 citations). William B. Vanti has collaborated with scholars based in United States, Canada and South Africa. Frequent co-authors include Asa Abeliovich, Keiichi Inoue, Jong‐Pil Kim, Elizabeth P. Murchison, Jennifer Ishii, Gregory J. Hannon, Sergey V. Voronov, David B. Rhee, Toru Yamashita and Susan R. George. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Journal of Molecular Biology, Biochemical and Biophysical Research Communications and Gene.
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.