I Testa

53 papers receiving 733 citations

Peers

I Testa
Comparison fields: 5 of 98
  • Aging 23
  • Endocrinology, Diabetes and Metabolism 169
  • Physiology 232
  • Obstetrics and Gynecology 40
  • Endocrine and Autonomic Systems 31
Replace Susana Vallejo with:
Susana Vallejo Spain
Anila K. Madiraju United States
Vasumathi T. Reddy United States
Ming-Sheng Zhou United States
Remise Gelışgen Türkiye
Kazutomi Yoshiuchi Japan
Bronwyn Atcheson Australia
Eszter Szabados Hungary
Ján Klimas Slovakia
Jody Levasseur Canada
I Testa relative to Susana Vallejo Spain Susana Vallejo's profile →
Citations per field
00.5×1.7×
Susana Vallejo · 1×
Citations per year

Countries citing papers authored by I Testa

Since Specialization
Citations

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

Fields of papers citing papers by I Testa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201186
2 200361
3 198055
4 198052
5 198840
6 198837
7 199936
8 198029
9
Is metformin safe enough for ageing type 2 diabetic patients?
199629
10 198927
11 199621
12 198219
13 199319
14 200217
15 199617
16 200116
17 201214
18 200514
19 198913
20
Vitamin E intake reduces plasminogen activator inhibitor type 1 in T2DM patients.
200113

About I Testa

I Testa is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Physiology and Cancer Research, having authored 53 papers that have together received 780 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Metabolism, Diabetes, and Cancer (7 papers), Protease and Inhibitor Mechanisms (7 papers), Diabetes Management and Research (6 papers), Diabetes Treatment and Management (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Nitric Oxide and Endothelin Effects (3 papers) and Sodium Intake and Health (3 papers). The work is most often cited by research in Aging (23 citations), Endocrinology, Diabetes and Metabolism (169 citations), Physiology (232 citations), Obstetrics and Gynecology (40 citations) and Endocrine and Autonomic Systems (31 citations). I Testa has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Anna Rita Bonfigli, Roberto Testa, Maurizio Marra, Renato Lauro, Angelo Fusco, R. A. Rabini, Roberto De Pirro, Enrico Bertoli, C. Sirolla and Laura Mazzanti. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Clinical Investigation, Diabetes, Scandinavian Journal of Rheumatology and FEBS Letters.

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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