Danielle Pham-Dinh
Impact in
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Neurogenesis and neuroplasticity mechanisms 8
- Co-authors
- Nicole BaumannA. DautignyAndré DautignyRichard ReynoldsDimitrios PapadopoulosP. JollèsBruno Della GasperaMarie‐Geneviève Mattéi
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Human Genetics (4 papers)Human Molecular Genetics (2 papers)Journal of Clinical Investigation (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Danielle Pham-Dinh
40 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Developmental Neuroscience 970
- Neurology 631
- Cellular and Molecular Neuroscience 833
- Pathology and Forensic Medicine 611
- Immunology 580
Countries citing papers authored by Danielle Pham-Dinh
This map shows the geographic impact of Danielle Pham-Dinh'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 Danielle Pham-Dinh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Pham-Dinh more than expected).
Fields of papers citing papers by Danielle Pham-Dinh
This network shows the impact of papers produced by Danielle Pham-Dinh. 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 Danielle Pham-Dinh. The network helps show where Danielle Pham-Dinh may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Pham-Dinh, 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 | 2010 | 120 | |
| 2 | 2010 | 2 | |
| 3 | 2008 | 40 | |
| 4 | 2007 | 32 | |
| 5 | 2005 | 89 | |
| 6 | 2004 | 74 | |
| 7 | 2003 | 37 | |
| 8 | 2002 | 146 | |
| 9 | 2000 | 26 | |
| 10 | 1999 | 70 | |
| 11 | 1997 | 13 | |
| 12 | 1996 | 19 | |
| 13 | 1995 | 31 | |
| 14 | 1995 | 29 | |
| 15 | 1993 | 17 | |
| 16 | 1993 | 27 | |
| 17 | 1991 | 10 | |
| 18 | 1991 | 42 | |
| 19 | 1988 | 33 | |
| 20 | 1988 | 16 |
About Danielle Pham-Dinh
Danielle Pham-Dinh is a scholar working on Developmental Neuroscience, Neurology, Immunology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 40 papers that have together received 3.3k indexed citations. Recurring topics across this work include RNA regulation and disease (10 papers), RNA Research and Splicing (10 papers), Multiple Sclerosis Research Studies (8 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Hereditary Neurological Disorders (6 papers), Immunotherapy and Immune Responses (6 papers), Glycosylation and Glycoproteins Research (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Developmental Neuroscience (970 citations), Neurology (631 citations), Cellular and Molecular Neuroscience (833 citations), Pathology and Forensic Medicine (611 citations) and Immunology (580 citations). Danielle Pham-Dinh has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Nicole Baumann, A. Dautigny, André Dautigny, Richard Reynolds, Dimitrios Papadopoulos, P. Jollès, Bruno Della Gaspera, Marie‐Geneviève Mattéi, G. Roussel and Cécile Delarasse. Their work appears in journals such as Proceedings of the National Academy of Sciences, Human Genetics, Human Molecular Genetics, Journal of Clinical Investigation and The Journal of Immunology.
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.