Anthony T. Campagnoni
- Molecular Biology top 5%
- Developmental Neuroscience top 0.1%
- Cellular and Molecular Neuroscience top 1%
- Genetics top 5%
- Neurology top 2%
- Co-authors
- Celia W. CampagnoniErnesto R. BongarzoneErin C. JacobsPablo M. PaezVance HandleyVilma SchonmannLimin ShiMorgan Sheng
- Topics
- Neurogenesis and neuroplasticity mechanisms (39 papers)RNA Research and Splicing (23 papers)Glycosylation and Glycoproteins Research (12 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Anthony T. Campagnoni
99 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 2.3k
- Developmental Neuroscience 1.6k
- Cellular and Molecular Neuroscience 1.3k
- Genetics 481
- Neurology 445
Countries citing papers authored by Anthony T. Campagnoni
This map shows the geographic impact of Anthony T. Campagnoni'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 Anthony T. Campagnoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony T. Campagnoni more than expected).
Fields of papers citing papers by Anthony T. Campagnoni
This network shows the impact of papers produced by Anthony T. Campagnoni. 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 Anthony T. Campagnoni. The network helps show where Anthony T. Campagnoni may publish in the future.
Co-authorship network of co-authors of Anthony T. Campagnoni
This figure shows the co-authorship network connecting the top 25 collaborators of Anthony T. Campagnoni. A scholar is included among the top collaborators of Anthony T. Campagnoni 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 Anthony T. Campagnoni. Anthony T. Campagnoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 78 | |
| 3 | 1 | |
| 4 | 26 | |
| 5 | 10 | |
| 6 | 70 | |
| 7 | 15 | |
| 8 | 20 | |
| 9 | 11 | |
| 10 | 31 | |
| 11 | 103 | |
| 12 | 35 | |
| 13 | 9 | |
| 14 | 35 | |
| 15 | 66 | |
| 16 | 39 | |
| 17 | 11 | |
| 18 | 12 | |
| 19 | 14 | |
| 20 | 6 |
About Anthony T. Campagnoni
Anthony T. Campagnoni is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Developmental Biology, having authored 99 papers that have together received 4.2k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (39 papers), RNA Research and Splicing (23 papers) and Glycosylation and Glycoproteins Research (12 papers). The work is most often cited by research in Developmental Neuroscience (1.6k citations), Cellular and Molecular Neuroscience (1.3k citations) and Developmental Biology (140 citations). Anthony T. Campagnoni has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Celia W. Campagnoni, Ernesto R. Bongarzone, Erin C. Jacobs, Pablo M. Paez, Vance Handley, Vilma Schonmann, Limin Shi, Morgan Sheng, John L.R. Rubenstein and Robert F. Hevner. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Neuron.
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.