Mario Widel

1.2k citations
11 papers · 922 indexed · 1 hit paper · h-index 7
Topics
Diabetes Treatment and Management (6 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)Diabetes Management and Research (4 papers)

In The Last Decade

Mario Widel

8 papers receiving 869 citations

Hit Papers

Exenatide versus Insulin Glargine in Patients with Subopt...20052026201220192005200400600

Peers

Mario Widel
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 764
  • Molecular Biology 430
  • Surgery 281
  • Pharmacology 139
  • Physiology 68
Replace Christopher Sorli with:
Christopher Sorli United States
Aurélie Contrepas France
N. Kleine Germany
Philipp Welschof Germany
Kenji Kohara Japan
Hidenori Hirukawa Japan
S. Takami Japan
Michaël J.B. van Baar Netherlands
F. Pricolo Italy
Nobuo Kajitani Japan
Mario Widel relative to Christopher Sorli United States Christopher Sorli's profile →
Citations per field
00.5×1.5×
Christopher Sorli · 1×
Citations per year

Countries citing papers authored by Mario Widel

Since Specialization
Citations

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

Fields of papers citing papers by Mario Widel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Widel

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Widel. A scholar is included among the top collaborators of Mario Widel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario Widel. Mario Widel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1
Adding New Rows in the ADaM Basic Data Structure: When and How
0
2 1
3
Good Versus Better SDTM -- Date and Time Variables
0
4
CREATING SV AND SE FIRST
1
5 88
6 79
7 20
8 17
9 57
10
Exenatide versus Insulin Glargine in Patients with Suboptimally Controlled Type 2 Diabetesbreakdown →
637
11 22

About Mario Widel

Mario Widel is a scholar working on Endocrinology, Diabetes and Metabolism, Statistics, Probability and Uncertainty and Neurology, having authored 11 papers that have together received 922 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Diabetes Management and Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (764 citations), Pharmacology (139 citations) and Surgery (281 citations). Mario Widel has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Don Johns, Michael J. Mihm, Robert G. Brodows, Luc F. Van Gaal, Robert J. Heine, Meng H. Tan, D.J.A. Eckland, Antonio Ceriello, Martín A. Baraibar and Navin Bansal. Their work appears in journals such as Journal of Neuroscience, Annals of Internal Medicine and Diabetes Care.

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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