M Donatelli

726 citations
43 papers · 574 · h-index 14

Impact in

Papers in

M Donatelli

41 papers receiving 548 citations

Peers

M Donatelli
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 128
  • Cardiology and Cardiovascular Medicine 146
  • Physiology 106
  • Pharmacology 67
  • Reproductive Medicine 28
Replace G. De Mattia with:
G. De Mattia Italy
H. Steinberg United States
Yuji Hirai Japan
Sameer Stas United States
Gerald M. Reaven United States
Alfredo Quiñones-Galvan Italy
Munehiro Nakamura Japan
Hideyuki Eguchi Japan
I. Antonipillai United States
Rita Acampora Italy
M Donatelli relative to G. De Mattia Italy G. De Mattia's profile →
Citations per field
00.5×1.5×2.3×
G. De Mattia · 1×
Citations per year

Countries citing papers authored by M Donatelli

Since Specialization
Citations

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

Fields of papers citing papers by M Donatelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201081
2 199476
3 199837
4
Plasma endothelin levels in NIDDM patients with macroangiopathy.
199435
5 201334
6 200724
7 200322
8 200821
9 201421
10 199618
11 198417
12 199015
13
EFFECTS OF LCARNITINE ON CHRONIC ANEMIA AND ERYTHROCYTE ADENOSINE TRIPHOSPHATE CONCENTRATION IN HEMODIALYZED PATIENTS
198714
14 200314
15 199913
16 200612
17 199011
18 199210
19 20099
20 19819

About M Donatelli

M Donatelli is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Surgery, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 43 papers that have together received 574 indexed citations. Recurring topics across this work include Diabetes and associated disorders (5 papers), Diabetes Management and Research (5 papers), Gestational Diabetes Research and Management (4 papers), Thyroid Disorders and Treatments (4 papers), Cardiovascular Function and Risk Factors (4 papers), Diet and metabolism studies (4 papers), Nitric Oxide and Endothelin Effects (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (128 citations), Cardiology and Cardiovascular Medicine (146 citations), Physiology (106 citations), Pharmacology (67 citations) and Reproductive Medicine (28 citations). M Donatelli has collaborated with scholars based in Italy, United States and France. Frequent co-authors include S Verga, Giuseppe Licata, Silvio Buscemi, Giovanni Cerasola, Salvatore Corrao, Rosario Scaglione, Gaspare Parrinello, Alessandro Mattina, Russo Russo and John A. Batsis. Their work appears in journals such as Acta Diabetologica, International Journal of Molecular Medicine, International Journal of Cardiology, Journal of Viral Hepatitis and Diabetes Research and Clinical Practice.

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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