Maria P. Abbracchio
- Physiology top 0.01%
- Molecular Biology top 1%
- Cellular and Molecular Neuroscience top 0.2%
- Neurology top 0.1%
- Endocrine and Autonomic Systems top 0.2%
- Co-authors
- Geoffrey BurnstockStefania CerutiKenneth A. JacobsonMarta FumagalliFlaminio CattabeniDavide LeccaMichael WilliamsBertil B. Fredholm
- Topics
- Adenosine and Purinergic Signaling (116 papers)Receptor Mechanisms and Signaling (36 papers)Neuroscience and Neuropharmacology Research (30 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Maria P. Abbracchio
230 papers receiving 14.5k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Physiology 8.6k
- Molecular Biology 5.5k
- Cellular and Molecular Neuroscience 3.6k
- Neurology 2.7k
- Endocrine and Autonomic Systems 2.0k
Countries citing papers authored by Maria P. Abbracchio
This map shows the geographic impact of Maria P. Abbracchio'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 Maria P. Abbracchio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria P. Abbracchio more than expected).
Fields of papers citing papers by Maria P. Abbracchio
This network shows the impact of papers produced by Maria P. Abbracchio. 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 Maria P. Abbracchio. The network helps show where Maria P. Abbracchio may publish in the future.
Co-authorship network of co-authors of Maria P. Abbracchio
This figure shows the co-authorship network connecting the top 25 collaborators of Maria P. Abbracchio. A scholar is included among the top collaborators of Maria P. Abbracchio 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 Maria P. Abbracchio. Maria P. Abbracchio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 10 | |
| 7 | 38 | |
| 8 | 4 | |
| 9 | 19 | |
| 10 | 19 | |
| 11 | 9 | |
| 12 | 80 | |
| 13 | 10 | |
| 14 | 27 | |
| 15 | 12 | |
| 16 | 40 | |
| 17 | 13 | |
| 18 | 69 | |
| 19 | Frontal affinity chromatography-mass spectrometry useful for characterization of new ligands for GPR17 receptor | 2 |
| 20 | P2 receptors mediate cyclo-oxygenase 2 induction in rat astroglial cells | 1 |
About Maria P. Abbracchio
Maria P. Abbracchio is a scholar working on Physiology, Developmental Neuroscience and Neurology, having authored 233 papers that have together received 14.8k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (116 papers), Receptor Mechanisms and Signaling (36 papers) and Neuroscience and Neuropharmacology Research (30 papers). The work is most often cited by research in Physiology (8.6k citations), Neurology (2.7k citations) and Developmental Neuroscience (1.3k citations). Maria P. Abbracchio has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Geoffrey Burnstock, Stefania Ceruti, Kenneth A. Jacobson, Marta Fumagalli, Flaminio Cattabeni, Davide Lecca, Michael Williams, Bertil B. Fredholm, Claudia Verderio and Roberta Brambilla. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and The EMBO Journal.
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.