Mario Pepe

1.1k citations
23 papers · 694 · h-index 11

Impact in

Papers in

Mario Pepe

23 papers receiving 658 citations

Peers

Mario Pepe
Comparison fields: 5 of 78
  • Psychiatry and Mental health 255
  • Endocrinology, Diabetes and Metabolism 272
  • Urology 67
  • Reproductive Medicine 55
  • Clinical Psychology 71
Replace Hai‐Rong Jin with:
Hai‐Rong Jin South Korea
Richard Spark United States
Osvaldo Mazza Argentina
Sam S. Miller United States
Jun‐Kyu Suh South Korea
Balestrieri Antonio Italy
A Zanollo Italy
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JoAnn V. Pinkerton United States
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Mario Pepe relative to Hai‐Rong Jin South Korea Hai‐Rong Jin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mario Pepe

Since Specialization
Citations

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

Fields of papers citing papers by Mario Pepe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001183
2 1999115
3 1991100
4 200263
5 199254
6 200447
7 197129
8 200618
9
PAPILLARY THYROID CANCER IS CHARACTERIZED BY ALTERED EXPRESSION OF GENES INVOLVED IN THE SUMOYLATION PROCESS.
201516
10 202113
11 201511
12 200810
13 20197
14
Selective inhibitors of aurora kinases inhibit proliferation, reduce cell viability and impair cell cycle progression in papillary thyroid carcinoma cells.
20167
15 19875
16 20214
17 20223
18 19703
19
[Environmental contamination by iodine-131 and cancer of the thyroid gland].
19882
20 20201

About Mario Pepe

Mario Pepe is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Psychiatry and Mental health, Cancer Research and Clinical Psychology, having authored 23 papers that have together received 694 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (4 papers), Sexual function and dysfunction studies (4 papers), Hormonal and reproductive studies (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Sexuality, Behavior, and Technology (2 papers), Ubiquitin and proteasome pathways (1 paper), Ovarian function and disorders (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Psychiatry and Mental health (255 citations), Endocrinology, Diabetes and Metabolism (272 citations), Urology (67 citations), Reproductive Medicine (55 citations) and Clinical Psychology (71 citations). Mario Pepe has collaborated with scholars based in Italy, Germany and Greece. Frequent co-authors include Emmanuele A. Jannini, Eleonora Carosa, Giuseppe Carruba, Savino M. Di Stasi, M D’Armiento, Francesco Trimarchi, Salvatore Benvenga, Salvatore Ulisse, Francesco Lo Giudice and Andrea Lenzi. Their work appears in journals such as Carcinogenesis, European Respiratory Journal, Nutrition, Thorax and Biomedicines.

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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