G. DiPasquale

532 citations
36 papers · 430 indexed · h-index 15
Topics
Inflammatory mediators and NSAID effects (7 papers)Osteoarthritis Treatment and Mechanisms (6 papers)Pharmacological Effects of Natural Compounds (5 papers)
Partner nations
United StatesSwitzerland

In The Last Decade

G. DiPasquale

33 papers receiving 351 citations

Peers

G. DiPasquale
Comparison fields: 5 of 83
  • Pharmacology 119
  • Molecular Biology 91
  • Rheumatology 78
  • Pharmacology 64
  • Surgery 57
Replace Jacqueline Bonnet with:
Jacqueline Bonnet France
Arun Rajgopal United States
H. Al-Mussawir United States
Sandra F. Falkenhein United States
N. D. Hall United Kingdom
Ying‐Ling Chang Taiwan
Annalisa Facchini Italy
M A Alvarez-Soria Spain
Liangchang Li China
G. DiPasquale relative to Jacqueline Bonnet France Jacqueline Bonnet's profile →
Citations per field
00.5×2.9×
Jacqueline Bonnet · 1×
Citations per year

Countries citing papers authored by G. DiPasquale

Since Specialization
Citations

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

Fields of papers citing papers by G. DiPasquale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. DiPasquale

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2 2
3 16
4 1
5 6
6 15
7 3
8 4
9 3
10
Comparison of spontaneous and retinoic acid stimulated rabbit articular cartilage degradation in vitro.
1
11 37
12 22
13 4
14 1
15
Prolonged pentobarbital sleeping time in adjuvant-induced polyarthritic rats.
21
16 3
17 1
18
The influence of vitamin A and-or hydrocortisone on the beta-glucuronidase activity of healing wounds in rats.
3
19 16
20 24

About G. DiPasquale

G. DiPasquale is a scholar working on Pharmacology, Behavioral Neuroscience and Pharmacology, having authored 36 papers that have together received 430 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (7 papers), Osteoarthritis Treatment and Mechanisms (6 papers) and Pharmacological Effects of Natural Compounds (5 papers). The work is most often cited by research in Pharmacology (64 citations), Pharmacology (119 citations) and Drug Discovery (1 citation). G. DiPasquale has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Bernard G. Steinetz, Albano C. Méli, Robert Caccese, V. L. Beach, V. Blancuzzi, E. M. O’Byrne, C.B. Caputo, Robert P. Richter, Linda A. Sygowski and Douglas E. Wilson. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and Journal of Pharmaceutical Sciences.

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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