Maria Pia Pasolini

1.3k citations
56 papers · 829 indexed · h-index 15

Maria Pia Pasolini

53 papers receiving 808 citations

Peers

Maria Pia Pasolini
Comparison fields: 5 of 100
  • Equine 120
  • Reproductive Medicine 150
  • Neurology 240
  • Agronomy and Crop Science 129
  • Small Animals 70
Replace Jacky Peng‐Wen Chan with:
Jacky Peng‐Wen Chan Taiwan
J. F. Munnell United States
D. O. Rae United States
Pierre Hélie Canada
Jeffrey D Fortman United States
Michael D. Lorenz United States
Sidney Ricketts United Kingdom
Katharine F. Lunn United States
Jennifer M. Kelly Australia
Carrie J. Finno United States
Maria Pia Pasolini relative to Jacky Peng‐Wen Chan Taiwan Jacky Peng‐Wen Chan's profile →
Citations per field
00.5×10.4×
Jacky Peng‐Wen Chan · 1×
Citations per year

Countries citing papers authored by Maria Pia Pasolini

Since Specialization
Citations

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

Fields of papers citing papers by Maria Pia Pasolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Pia Pasolini. 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 Pia Pasolini. The network helps show where Maria Pia Pasolini may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20241
5 20242
6 20232
7 20227
8 20201
9 20195
10 20193
11 201916
12 20151
13
Surgical treatment of feline corneal sequestration using focal keratectomy and third eyelid flap: a retrospective study and literature review.
20124
14 201162
15 201114
16 20119
17 201169
18
Radiographic assessment of skeletal maturity in the racehorse: statistical validation and correlation with orthopaedic injuries in the Standardbred.
20077
19
Use of two biochemical markers of bone metabolism, bone alkaline phosphatase (b-ALP) and cross linked C-telopeptide of type I collagen (ICTP), in the assessment of skeletal maturity in the Standardbred horse.
20071
20 20063

About Maria Pia Pasolini

Maria Pia Pasolini is a scholar working on Equine, Small Animals and Reproductive Medicine, having authored 56 papers that have together received 829 indexed citations. Recurring topics across this work include Veterinary Equine Medical Research (22 papers), Reproductive Physiology in Livestock (8 papers), Sperm and Testicular Function (6 papers), Reproductive Biology and Fertility (5 papers), Veterinary Orthopedics and Neurology (4 papers), Ocular Surface and Contact Lens (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers) and Corneal Surgery and Treatments (3 papers). The work is most often cited by research in Equine (120 citations), Reproductive Medicine (150 citations) and Neurology (240 citations). Maria Pia Pasolini has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Natascia Cocchia, Luigi Auletta, Alessandro Padovani, Chiara Del Prete, Orlando Paciello, Luisa De Martino, Andrea Pilotto, Ugo Pagnini, Kaj Blennow and Irene Volonghi. Their work appears in journals such as Annals of Neurology, Scientific Reports and Journal of Neurology Neurosurgery & Psychiatry.

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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