A. E. Pontiroli

701 citations
24 papers · 415 indexed · h-index 12

A. E. Pontiroli

23 papers receiving 401 citations

Peers

A. E. Pontiroli
Comparison fields: 5 of 75
  • Transplantation 21
  • Endocrinology, Diabetes and Metabolism 128
  • Behavioral Neuroscience 18
  • Surgery 165
  • Physiology 14
Replace M. M. C. Landgraf-Leurs with:
M. M. C. Landgraf-Leurs Germany
Renate E. van Genugten Netherlands
Terttu‐Liisa Teräväinen Finland
Nils van der Lubbe Netherlands
Yuji Uchizono Japan
G. Secchi Italy
H Mitschke Germany
C Wei United States
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Akira Kurosawa Japan
A. E. Pontiroli relative to M. M. C. Landgraf-Leurs Germany M. M. C. Landgraf-Leurs's profile →
Citations per field
00.5×
M. M. C. Landgraf-Leurs · 1×
Citations per year

Countries citing papers authored by A. E. Pontiroli

Since Specialization
Citations

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

Fields of papers citing papers by A. E. Pontiroli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. E. Pontiroli. 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 A. E. Pontiroli. The network helps show where A. E. Pontiroli may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201160
2 20111
3
Prevalence of depression in patients affected by subclinical hypothyroidism.
201035
4 200519
5 200232
6 200010
7 199814
8 199817
9 199732
10 199663
11 19960
12 199531
13
Combined therapy with glibenclamide and ultralente insulin in lean patients with NIDDM with secondary failure of sulfonylureas. Follow up at two years.
19916
14 19873
15
Prednisone, indomethacin, or theophylline administration and the remission phase in recent onset type I insulin-dependent diabetic patients
19863
16 198537
17 198418
18 197912
19 19775
20 19773

About A. E. Pontiroli

A. E. Pontiroli is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Physiology, having authored 24 papers that have together received 415 indexed citations. Recurring topics across this work include Diet and metabolism studies (6 papers), Pancreatic function and diabetes (6 papers), Diabetes Management and Research (5 papers), Diabetes and associated disorders (4 papers), Inflammatory mediators and NSAID effects (3 papers), Metabolism and Genetic Disorders (2 papers), Drug-Induced Adverse Reactions (2 papers) and Pituitary Gland Disorders and Treatments (2 papers). The work is most often cited by research in Transplantation (21 citations), Endocrinology, Diabetes and Metabolism (128 citations) and Behavioral Neuroscience (18 citations). A. E. Pontiroli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include G. Pozza, Franco Folli, L. Falsetti, C. Socci, A. M. Davalli, Emilio Carbone, Antonella Pollo, F. Clementi, Emanuele Sher and Silvio Scarone. Their work appears in journals such as Gastroenterology, The Journal of Clinical Endocrinology & Metabolism and Journal of Hepatology.

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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