Denise Fedele
Impact in
- Physiology top 0.5%
- Adenosine and Purinergic Signaling
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
Papers in
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- Neuroscience and Neuropharmacology Research 7
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- Epigenetics and DNA Methylation 2
- RNA modifications and cancer 2
- RNA Interference and Gene Delivery 2
- Pluripotent Stem Cells Research 2
- Co-authors
- Detlev Boison (15 shared papers)Dennis L. Murphy (1 shared paper)Tiffany A. Mathews (1 shared paper)Anne M. Andrews (1 shared paper)Tianfu Li (1 shared paper)Jing Lan (1 shared paper)Bertil B. Fredholm (1 shared paper)Martin Güttinger (2 shared papers)
- Journals
- Neuropharmacology (3 papers)Neuroscience (2 papers)Epilepsia (2 papers)Biomaterials (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Denise Fedele
18 papers receiving 951 citations
Peers
Comparison fields: 5 of 75
- Physiology 355
- Cellular and Molecular Neuroscience 553
- Biological Psychiatry 46
- Developmental Neuroscience 68
- Psychiatry and Mental health 193
Countries citing papers authored by Denise Fedele
This map shows the geographic impact of Denise Fedele'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 Denise Fedele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denise Fedele more than expected).
Fields of papers citing papers by Denise Fedele
This network shows the impact of papers produced by Denise Fedele. 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 Denise Fedele. The network helps show where Denise Fedele may publish in the future.
Co-authors
The 25 scholars most cited alongside Denise Fedele, 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 | 2004 | 216 | |
| 2 | 2005 | 151 | |
| 3 | 2006 | 143 | |
| 4 | 2006 | 135 | |
| 5 | 2005 | 64 | |
| 6 | 2004 | 63 | |
| 7 | 2020 | 44 | |
| 8 | 2021 | 33 | |
| 9 | 2008 | 32 | |
| 10 | 2006 | 28 | |
| 11 | 2022 | 12 | |
| 12 | 2021 | 12 | |
| 13 | 2020 | 10 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 1 |
About Denise Fedele
Denise Fedele is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Psychiatry and Mental health and Endocrine and Autonomic Systems, having authored 18 papers that have together received 959 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Epilepsy research and treatment (6 papers), Neuroscience of respiration and sleep (3 papers), Epigenetics and DNA Methylation (2 papers), RNA modifications and cancer (2 papers), RNA Interference and Gene Delivery (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Physiology (355 citations), Cellular and Molecular Neuroscience (553 citations), Biological Psychiatry (46 citations), Developmental Neuroscience (68 citations) and Psychiatry and Mental health (193 citations). Denise Fedele has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Detlev Boison, Dennis L. Murphy, Tiffany A. Mathews, Anne M. Andrews, Tianfu Li, Jing Lan, Bertil B. Fredholm, Martin Güttinger, Louis Scheurer and Jean‐Marc Fritschy. Their work appears in journals such as Neuropharmacology, Neuroscience, Epilepsia, Biomaterials and Scientific Reports.
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.