Iolanda D’Alimonte

1.6k citations
31 papers · 1.4k indexed · h-index 23

Iolanda D’Alimonte

31 papers receiving 1.4k citations

Peers

Iolanda D’Alimonte
Comparison fields: 5 of 95
  • Physiology 521
  • Neurology 325
  • Developmental Neuroscience 110
  • Cellular and Molecular Neuroscience 446
  • Biological Psychiatry 48
Replace Patricia Giuliani with:
Patricia Giuliani Italy
Pamela J. Middlemiss Canada
Fátima Ferreirinha Portugal
Omar Touzani France
Fernando Pérez‐Cerdá Spain
Esmerilda G. Delicado Spain
Savina Apolloni Italy
Yingbo He United States
Raquel Pérez‐Sen Spain
Dale B. Bosco United States
Iolanda D’Alimonte relative to Patricia Giuliani Italy Patricia Giuliani's profile →
Citations per field
00.5×1.5×1.8×
Patricia Giuliani · 1×
Citations per year

Countries citing papers authored by Iolanda D’Alimonte

Since Specialization
Citations

This map shows the geographic impact of Iolanda D’Alimonte'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 Iolanda D’Alimonte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iolanda D’Alimonte more than expected).

Fields of papers citing papers by Iolanda D’Alimonte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iolanda D’Alimonte. 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 Iolanda D’Alimonte. The network helps show where Iolanda D’Alimonte may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Iolanda D’Alimonte, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Iolanda D’Alimonte Line = papers co-authored together Iolanda D’Alimonte links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201727
2 201525
3 201524
4 20158
5 201426
6 201345
7 20087
8 200837
9 200754
10 200776
11 200740
12 200735
13 20068
14 200640
15 200618
16 200631
17 200462
18 2002100
19 1999138
20 1999163

About Iolanda D’Alimonte

Iolanda D’Alimonte is a scholar working on Physiology, Biological Psychiatry and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (17 papers), Neuroscience and Neuropharmacology Research (8 papers), Mesenchymal stem cell research (5 papers), Nerve injury and regeneration (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), RNA Interference and Gene Delivery (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Physiology (521 citations), Neurology (325 citations) and Developmental Neuroscience (110 citations). Iolanda D’Alimonte has collaborated with scholars based in Italy, Canada and Netherlands. Frequent co-authors include Renata Ciccarelli, Francesco Caciagli, Patrizia Di Iorio, Patrizia Ballerini, Michel P. Rathbone, Patricia Giuliani, Eleonora Nargi, Ferdinando Nicoletti, Silvana Buccella and Valeria Bruno. Their work appears in journals such as Glia, European Journal of Neuroscience, Stem Cells and Development, Advances in experimental medicine and biology and Stem Cell Research.

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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