A. T. Campagnoni

67 total papers · 3.0k total citations
53 papers, 2.6k citations indexed

About

A. T. Campagnoni is a scholar working on Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, A. T. Campagnoni has authored 53 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 19 papers in Developmental Neuroscience and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in A. T. Campagnoni's work include Neurogenesis and neuroplasticity mechanisms (19 papers), RNA Research and Splicing (14 papers) and Glycosylation and Glycoproteins Research (9 papers). A. T. Campagnoni is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (19 papers), RNA Research and Splicing (14 papers) and Glycosylation and Glycoproteins Research (9 papers). A. T. Campagnoni collaborates with scholars based in United States, France and Japan. A. T. Campagnoni's co-authors include Celia W. Campagnoni, A. Neil Verity, Kathy Kampf, Vance Handley, S.G. Amur-Umarjee, T Pribýl, Arthur P. Arnold, K Kitamura, Charles F. Landry and Barney A. Schlinger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

A. T. Campagnoni

53 papers receiving 2.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
A. T. Campagnoni 1.4k 863 610 337 321 53 2.6k
Celia W. Campagnoni 1.1k 0.8× 662 0.8× 529 0.9× 204 0.6× 308 1.0× 42 1.9k
Anthony T. Campagnoni 2.3k 1.6× 1.6k 1.9× 1.3k 2.2× 480 1.4× 298 0.9× 99 4.2k
Nissim Ben‐Arie 1.7k 1.2× 411 0.5× 625 1.0× 348 1.0× 61 0.2× 29 3.0k
Carlos López‐García 1.1k 0.8× 578 0.7× 938 1.5× 177 0.5× 83 0.3× 92 2.8k
Alicia Hidalgo 1.5k 1.1× 270 0.3× 1.1k 1.8× 292 0.9× 350 1.1× 60 2.4k
Eiji Matsunaga 1.0k 0.7× 326 0.4× 539 0.9× 234 0.7× 69 0.2× 71 2.0k
Flora de Pablo 1.9k 1.4× 470 0.5× 637 1.0× 567 1.7× 186 0.6× 87 3.4k
Linda S. Ross 975 0.7× 179 0.2× 524 0.9× 151 0.4× 221 0.7× 33 1.9k
Fuying Gao 1.8k 1.3× 214 0.2× 893 1.5× 536 1.6× 249 0.8× 60 3.2k
Doris K. Wu 3.1k 2.2× 127 0.1× 486 0.8× 321 1.0× 119 0.4× 63 4.8k

Countries citing papers authored by A. T. Campagnoni

Since Specialization
Citations

This map shows the geographic impact of A. 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 A. 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 A. T. Campagnoni more than expected).

Fields of papers citing papers by A. T. Campagnoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. 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 A. T. Campagnoni. The network helps show where A. T. Campagnoni may publish in the future.

Co-authorship network of co-authors of A. T. Campagnoni

This figure shows the co-authorship network connecting the top 25 collaborators of A. T. Campagnoni. A scholar is included among the top collaborators of A. 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 A. T. Campagnoni. A. T. Campagnoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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