Noel Federman
Impact in
-
- Neuroscience and Neuropharmacology Research
- Neurobiology and Insect Physiology Research
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Neuroscience and Neuropharmacology Research 6
- Neurobiology and Insect Physiology Research 5
-
- Histone Deacetylase Inhibitors Research 4
- Epigenetics and DNA Methylation 2
- Co-authors
- Arturo Romano (12 shared papers)Gisela Zalcman (7 shared papers)María Sol Fustiñana (7 shared papers)Verónica de la Fuente (7 shared papers)Ramiro Freudenthal (4 shared papers)Nicoletta Corbi (1 shared paper)Annalisa Onori (1 shared paper)Claudio Passananti (1 shared paper)
- Journals
- Learning & Memory (2 papers)Frontiers in Molecular Neuroscience (2 papers)Molecular Neurobiology (1 paper)Hippocampus (1 paper)Neuroscience (1 paper)
- Partner nations
- ArgentinaSwitzerlandItaly
In The Last Decade
Noel Federman
14 papers receiving 434 citations
Peers
Comparison fields: 5 of 72
- Cellular and Molecular Neuroscience 223
- Neurology 100
- Developmental Neuroscience 50
- Biological Psychiatry 18
- Cognitive Neuroscience 126
Countries citing papers authored by Noel Federman
This map shows the geographic impact of Noel Federman'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 Noel Federman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noel Federman more than expected).
Fields of papers citing papers by Noel Federman
This network shows the impact of papers produced by Noel Federman. 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 Noel Federman. The network helps show where Noel Federman may publish in the future.
Co-authors
The 19 scholars most cited alongside Noel Federman, 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 | 2018 | 122 | |
| 2 | 2009 | 66 | |
| 3 | 2013 | 57 | |
| 4 | 2006 | 34 | |
| 5 | 2014 | 31 | |
| 6 | 2014 | 26 | |
| 7 | 2012 | 25 | |
| 8 | 2015 | 24 | |
| 9 | 2015 | 18 | |
| 10 | 2014 | 10 | |
| 11 | 2018 | 10 | |
| 12 | 2021 | 8 | |
| 13 | 2024 | 6 | |
| 14 | 2010 | 3 | |
| 15 | Cerebro y memoria | 2012 | 0 |
| 16 | 2024 | 0 |
About Noel Federman
Noel Federman is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Neurology and Cancer Research, having authored 16 papers that have together received 440 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Neurobiology and Insect Physiology Research (5 papers), Histone Deacetylase Inhibitors Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Memory and Neural Mechanisms (4 papers), NF-κB Signaling Pathways (3 papers), Epigenetics and DNA Methylation (2 papers) and Olfactory and Sensory Function Studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (223 citations), Neurology (100 citations), Developmental Neuroscience (50 citations), Biological Psychiatry (18 citations) and Cognitive Neuroscience (126 citations). Noel Federman has collaborated with scholars based in Argentina, Switzerland and Italy. Frequent co-authors include Arturo Romano, Gisela Zalcman, María Sol Fustiñana, Verónica de la Fuente, Ramiro Freudenthal, Nicoletta Corbi, Annalisa Onori, Claudio Passananti, Emiliano Merlo and Pablo Ariel. Their work appears in journals such as Learning & Memory, Frontiers in Molecular Neuroscience, Molecular Neurobiology, Hippocampus and Neuroscience.
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.