M. Veroni

454 citations
16 papers · 408 · h-index 9

Impact in

    • Bone health and treatments
    • HER2/EGFR in Cancer Research
    • Estrogen and related hormone effects

Papers in

    • Metabolism, Diabetes, and Cancer 5
    • Peroxisome Proliferator-Activated Receptors 2
    • Adipose Tissue and Metabolism 4
    • Nitric Oxide and Endothelin Effects 1

M. Veroni

16 papers receiving 385 citations

Peers

M. Veroni
Comparison fields: 5 of 58
  • Oncology 124
  • Genetics 122
  • Endocrinology, Diabetes and Metabolism 60
  • Molecular Biology 212
  • Endocrine and Autonomic Systems 19
Replace Diana Choi with:
Diana Choi Canada
Josef Pfeilschifter Switzerland
Catherine Coquard France
Raymond K. Tan United States
W. H. H. Tegelaers Netherlands
Hanne Klonowski-Stumpe Germany
Maura Simboli-Campbell Canada
Shinobu Kumakura Japan
Juei-Hsiung Tsai Taiwan
Eva-Maria D. Nielsen Denmark
M. Veroni relative to Diana Choi Canada Diana Choi's profile →
Citations per field
00.5×1.5×2.1×
Diana Choi · 1×
Citations per year

Countries citing papers authored by M. Veroni

Since Specialization
Citations

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

Fields of papers citing papers by M. Veroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1981136
2 199399
3 199168
4 198419
5 198317
6 198413
7 198311
8 198010
9 19809
10 19846
11 19835
12 19815
13 19864
14 19803
15 19802
16 19831

About M. Veroni

M. Veroni is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Surgery and Pharmacology, having authored 16 papers that have together received 408 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (5 papers), Adipose Tissue and Metabolism (4 papers), Pancreatic function and diabetes (3 papers), Inflammatory mediators and NSAID effects (2 papers), Hormonal Regulation and Hypertension (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Diet, Metabolism, and Disease (2 papers) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Oncology (124 citations), Genetics (122 citations), Endocrinology, Diabetes and Metabolism (60 citations), Molecular Biology (212 citations) and Endocrine and Autonomic Systems (19 citations). M. Veroni has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Richard G. Larkins, Nicola C. Partridge, T. John Martin, Bruce E. Kemp, Joseph Proietto, Xiangdong Hu, John Zalcberg, M. De Luise, C. K. W. Watts and A. E. Wakeling. Their work appears in journals such as Clinical and Experimental Pharmacology and Physiology, Hormone and Metabolic Research, Endocrinology, Diabetes and Archives of Biochemistry and Biophysics.

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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