Rita Pascolini

748 citations
48 papers · 538 · h-index 13

Impact in

Papers in

Rita Pascolini

48 papers receiving 511 citations

Peers

Rita Pascolini
Comparison fields: 5 of 81
  • Health, Toxicology and Mutagenesis 144
  • Global and Planetary Change 154
  • Ecological Modeling 31
  • Small Animals 45
  • Microbiology 4
Replace Kyle W. Selcer with:
Kyle W. Selcer United States
Fausto Panara Italy
Matilde Ragghianti Italy
John L. Brubacher Canada
Lia Raquel de Souza Santos Brazil
Nicolás Ortíz Argentina
Wenbin Mei United States
Giovanni Scillitani Italy
Anton Gurkov Russia
Sophie Martine Prud’homme France
Rita Pascolini relative to Kyle W. Selcer United States Kyle W. Selcer's profile →
Citations per field
00.5×2.6×
Kyle W. Selcer · 1×
Citations per year

Countries citing papers authored by Rita Pascolini

Since Specialization
Citations

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

Fields of papers citing papers by Rita Pascolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rita Pascolini. 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 Rita Pascolini. The network helps show where Rita Pascolini may publish in the future.

Co-authors

The 25 scholars most cited alongside Rita Pascolini, 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 Rita Pascolini Line = papers co-authored together Rita Pascolini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199654
2 200534
3 199034
4 200333
5 200531
6 199227
7 199622
8 200519
9 200519
10 198917
11 198816
12 199215
13 201012
14 198912
15 200012
16 198911
17 199010
18 199210
19 199210
20 198410

About Rita Pascolini

Rita Pascolini is a scholar working on Molecular Biology, Global and Planetary Change, Ocean Engineering, Pharmacology and Ecology, having authored 48 papers that have together received 538 indexed citations. Recurring topics across this work include Planarian Biology and Electrostimulation (13 papers), Marine Biology and Environmental Chemistry (7 papers), Amphibian and Reptile Biology (7 papers), Cholinesterase and Neurodegenerative Diseases (6 papers), Marine Ecology and Invasive Species (6 papers), Physiological and biochemical adaptations (5 papers), Cellular Mechanics and Interactions (5 papers) and Environmental Toxicology and Ecotoxicology (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (144 citations), Global and Planetary Change (154 citations), Ecological Modeling (31 citations), Small Animals (45 citations) and Microbiology (4 citations). Rita Pascolini has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Ines Di Rosa, Anna Fagotti, Fausto Panara, Francesca Simoncelli, Giovanni Principato, Vincenzo Nicola Talesa, Gabriella Rosi, R.K. Pipe, Antonella Angiolillo and Stefania Bucci. Their work appears in journals such as Cell and Tissue Research, Tissue and Cell, The Anatomical Record, Journal of Experimental Zoology and Zoosystematics and Evolution.

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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