Daniela M. Menichella
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Physiology top 10%
- Neurology top 10%
- Neurology top 5%
- Co-authors
- Steven S. SchererErich E. SirkowskiDavid L. PaulDaniel A. GoodenoughRajeshwar AwatramaniMichael E. ShyJohn KamholzAmy S. Paller
- Topics
- Pain Mechanisms and Treatments (13 papers)Hereditary Neurological Disorders (11 papers)Nerve injury and regeneration (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationJournal of Clinical Oncology
- Partner nations
- United StatesItalyFrance
In The Last Decade
Daniela M. Menichella
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Cellular and Molecular Neuroscience 527
- Molecular Biology 485
- Physiology 235
- Neurology 182
- Neurology 160
Countries citing papers authored by Daniela M. Menichella
This map shows the geographic impact of Daniela M. Menichella'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 Daniela M. Menichella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela M. Menichella more than expected).
Fields of papers citing papers by Daniela M. Menichella
This network shows the impact of papers produced by Daniela M. Menichella. 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 Daniela M. Menichella. The network helps show where Daniela M. Menichella may publish in the future.
Co-authorship network of co-authors of Daniela M. Menichella
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela M. Menichella. A scholar is included among the top collaborators of Daniela M. Menichella based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela M. Menichella. Daniela M. Menichella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 3 | |
| 4 | 97 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 68 | |
| 8 | 2 | |
| 9 | 20 | |
| 10 | 70 | |
| 11 | 4 | |
| 12 | 138 | |
| 13 | 42 | |
| 14 | 64 | |
| 15 | 16 | |
| 16 | 17 | |
| 17 | 7 | |
| 18 | 13 | |
| 19 | 99 | |
| 20 | 2 |
About Daniela M. Menichella
Daniela M. Menichella is a scholar working on Cellular and Molecular Neuroscience, Neurology and Physiology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (13 papers), Hereditary Neurological Disorders (11 papers) and Nerve injury and regeneration (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (527 citations), Developmental Neuroscience (114 citations) and Neurology (160 citations). Daniela M. Menichella has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Steven S. Scherer, Erich E. Sirkowski, David L. Paul, Daniel A. Goodenough, Rajeshwar Awatramani, Michael E. Shy, John Kamholz, Amy S. Paller, Richard Miller and Dongjun Ren. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Clinical Oncology.
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.