I Testa

1.3k citations
57 papers · 1.1k · h-index 17

Impact in

Papers in

I Testa

57 papers receiving 1.1k citations

Peers

I Testa
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 349
  • Aging 32
  • Physiology 272
  • Clinical Biochemistry 56
  • Critical Care and Intensive Care Medicine 35
Replace Susana Vallejo with:
Susana Vallejo Spain
Marcus Hortmann Germany
Eun Nim Kim South Korea
Yaeni Kim South Korea
Remise Gelışgen Türkiye
Konstantinos Paletas Greece
Malak Abbas France
Attila Fehér United States
Diane Corey United States
Ming-Sheng Zhou United States
I Testa relative to Susana Vallejo Spain Susana Vallejo's profile →
Citations per field
00.5×2×3.2×
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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017232
2 201190
3 201162
4 200360
5 198056
6 198053
7 198840
8 198837
9 199933
10
Is metformin safe enough for ageing type 2 diabetic patients?
199630
11 198029
12 198927
13 202027
14 199319
15 198219
16 199618
17 199617
18 200217
19 201216
20 200114

About I Testa

I Testa is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Cancer Research, Surgery and Molecular Biology, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Protease and Inhibitor Mechanisms (8 papers), Metabolism, Diabetes, and Cancer (7 papers), Diabetes Management and Research (6 papers), Diabetes Treatment and Management (6 papers), Lipoproteins and Cardiovascular Health (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (349 citations), Aging (32 citations), Physiology (272 citations), Clinical Biochemistry (56 citations) and Critical Care and Intensive Care Medicine (35 citations). I Testa has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Anna Rita Bonfigli, Roberto Testa, Maurizio Marra, Renato Lauro, Angelo Fusco, R. A. Rabini, Roberto De Pirro, Cristina Sirolla, Enrico Bertoli 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 Aging Clinical and Experimental 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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