Daniel C. Tanner
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroscience and Neuropharmacology Research
Papers in
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- Neuroscience and Neuropharmacology Research 4
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- RNA Research and Splicing 6
- RNA regulation and disease 3
- Signaling Pathways in Disease 2
- RNA and protein synthesis mechanisms 1
- Co-authors
- Nora Irma Perrone-Bizzozero (8 shared papers)Federico Bolognani (6 shared papers)Andrea M. Allan (1 shared paper)Rodrigo D. Paz (1 shared paper)Margot Mayer‐Pröschel (1 shared paper)Jonathan D. Cherry (1 shared paper)Edwin J. Weeber (2 shared papers)Shenfeng Qiu (2 shared papers)
- Journals
- Cell Death and Differentiation (1 paper)PLoS ONE (1 paper)Alcoholism Clinical and Experimental Research (1 paper)Journal of Neurochemistry (1 paper)ASN NEURO (1 paper)
- Partner nations
- United StatesFranceJapan
In The Last Decade
Daniel C. Tanner
12 papers receiving 390 citations
Peers
Comparison fields: 5 of 55
- Developmental Neuroscience 51
- Cellular and Molecular Neuroscience 97
- Molecular Biology 258
- Cancer Research 50
- Neurology 29
Countries citing papers authored by Daniel C. Tanner
This map shows the geographic impact of Daniel C. Tanner'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 Daniel C. Tanner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Tanner more than expected).
Fields of papers citing papers by Daniel C. Tanner
This network shows the impact of papers produced by Daniel C. Tanner. 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 Daniel C. Tanner. The network helps show where Daniel C. Tanner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. Tanner, 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 | 2006 | 89 | |
| 2 | 2006 | 57 | |
| 3 | 2006 | 55 | |
| 4 | 2011 | 43 | |
| 5 | 2013 | 37 | |
| 6 | 2007 | 31 | |
| 7 | 2011 | 24 | |
| 8 | 2008 | 22 | |
| 9 | 2004 | 19 | |
| 10 | 2015 | 13 | |
| 11 | 2006 | 6 | |
| 12 | 2006 | 4 |
About Daniel C. Tanner
Daniel C. Tanner is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cancer Research, Pediatrics, Perinatology and Child Health and Immunology, having authored 12 papers that have together received 400 indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), Neuroscience and Neuropharmacology Research (4 papers), RNA regulation and disease (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Prenatal Substance Exposure Effects (2 papers), Signaling Pathways in Disease (2 papers), MicroRNA in disease regulation (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Developmental Neuroscience (51 citations), Cellular and Molecular Neuroscience (97 citations), Molecular Biology (258 citations), Cancer Research (50 citations) and Neurology (29 citations). Daniel C. Tanner has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Nora Irma Perrone-Bizzozero, Federico Bolognani, Andrea M. Allan, Rodrigo D. Paz, Margot Mayer‐Pröschel, Jonathan D. Cherry, Edwin J. Weeber, Shenfeng Qiu, Bernard Jean Jasmin and Julie Deschênes‐Furry. Their work appears in journals such as Cell Death and Differentiation, PLoS ONE, Alcoholism Clinical and Experimental Research, Journal of Neurochemistry and ASN NEURO.
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.