Marcella Petrone

1.3k citations
27 papers · 864 · h-index 13

Impact in

Papers in

Marcella Petrone

27 papers receiving 849 citations

Peers

Marcella Petrone
Comparison fields: 5 of 94
  • Endocrinology, Diabetes and Metabolism 457
  • Endocrine and Autonomic Systems 79
  • Pharmacology 190
  • Biochemistry 41
  • Cellular and Molecular Neuroscience 96
Replace Martin J. Procter with:
Martin J. Procter United States
Diane M. Hargrove United States
William J. Zavadoski United States
Janice C. Parker United States
James Ficorilli United States
Yoshiyuki Tsujihata Japan
Koji Ueshima Japan
Geoffrey Allan United States
Laurie Tota United States
Dale E. McCall United States
Marcella Petrone relative to Martin J. Procter United States Martin J. Procter's profile →
Citations per field
00.5×8.8×
Martin J. Procter · 1×
Citations per year

Countries citing papers authored by Marcella Petrone

Since Specialization
Citations

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

Fields of papers citing papers by Marcella Petrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018243
2 1997111
3 201995
4 201861
5 202256
6 199655
7 200644
8 202128
9 200625
10 200821
11 199821
12 201315
13 200612
14 200812
15 201811
16 199611
17 20208
18 20217
19 20026
20 20205

About Marcella Petrone

Marcella Petrone is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Pharmacology and Organic Chemistry, having authored 27 papers that have together received 864 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (14 papers), Metabolism, Diabetes, and Cancer (6 papers), Diabetes Management and Research (6 papers), Pancreatic function and diabetes (4 papers), Receptor Mechanisms and Signaling (4 papers), Diet and metabolism studies (3 papers), Drug Solubulity and Delivery Systems (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (457 citations), Endocrine and Autonomic Systems (79 citations), Pharmacology (190 citations), Biochemistry (41 citations) and Cellular and Molecular Neuroscience (96 citations). Marcella Petrone has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Phil Ambery, Maura Floreani, Lutz Jermutus, Boaz Hirshberg, Darren Robertson, Patrizia Debetto, Pietro Palatini, Tim Heise, Victoria E R Parker and Leona Plum‐Mörschel. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Diabetes, Journal of Pharmacology and Experimental Therapeutics, Diabetes Obesity and Metabolism and Journal of Pineal 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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