Mario Widel

1.2k total citations · 1 hit paper
11 papers, 922 citations indexed

About

Mario Widel is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Mario Widel has authored 11 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Molecular Biology and 2 papers in Biomedical Engineering. Recurrent topics in Mario Widel's work include Diabetes Treatment and Management (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Diabetes Management and Research (4 papers). Mario Widel is often cited by papers focused on Diabetes Treatment and Management (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Diabetes Management and Research (4 papers). Mario Widel collaborates with scholars based in United States, United Kingdom and Austria. Mario Widel's 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 and has published in prestigious journals such as Journal of Neuroscience, Annals of Internal Medicine and Diabetes Care.

In The Last Decade

Mario Widel

8 papers receiving 869 citations

Hit Papers

Exenatide versus Insulin Glargine in Patients with Subopt... 2005 2026 2012 2019 2005 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Exenatide versus Insulin Glargine in Patients with Suboptimally Controlled Type 2 Diabetes
    2005 637 citations Robert J. Heine, Luc F. Van Gaal et al. Annals of Internal Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mario Widel United States 7 764 430 281 139 68 11 922
Aurélie Contrepas France 10 643 0.8× 390 0.9× 110 0.4× 91 0.7× 47 0.7× 12 982
S. Takami Japan 11 186 0.2× 146 0.3× 93 0.3× 75 0.5× 43 0.6× 12 513
Philipp Welschof Germany 7 429 0.6× 226 0.5× 228 0.8× 68 0.5× 112 1.6× 9 657
Kenji Kohara Japan 17 451 0.6× 228 0.5× 308 1.1× 41 0.3× 85 1.3× 53 660
Christopher Sorli United States 13 832 1.1× 421 1.0× 443 1.6× 286 2.1× 225 3.3× 28 1.2k
Hidenori Hirukawa Japan 14 402 0.5× 207 0.5× 274 1.0× 35 0.3× 92 1.4× 39 576
N. Kleine Germany 6 1.1k 1.4× 412 1.0× 674 2.4× 131 0.9× 115 1.7× 24 1.3k
Michaël J.B. van Baar Netherlands 7 656 0.9× 233 0.5× 311 1.1× 108 0.8× 53 0.8× 12 773
Jiqian Huang United States 10 360 0.5× 234 0.5× 61 0.2× 73 0.5× 33 0.5× 15 598
Nobuo Kajitani Japan 9 340 0.4× 168 0.4× 161 0.6× 54 0.4× 63 0.9× 10 640

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
1.
Widel, Mario, et al.. (2013). Adding New Rows in the ADaM Basic Data Structure: When and How.
2.
Smoak, Carey, et al.. (2012). The use of checksums to ensure data integrity in the healthcare industry. 5(1-2). 38–41. 1 indexed citations
3.
Widel, Mario, et al.. (2011). Good Versus Better SDTM -- Date and Time Variables.
4.
Widel, Mario, et al.. (2010). CREATING SV AND SE FIRST. 1 indexed citations
5.
Vidal, Rubén, Leticia Miravalle, Xiaoying Gao, et al.. (2008). Expression of a Mutant Form of the Ferritin Light Chain Gene Induces Neurodegeneration and Iron Overload in Transgenic Mice. Journal of Neuroscience. 28(1). 60–67. 88 indexed citations
6.
7.
Charbonnel, B, Michael Roden, Richard Urquhart, et al.. (2005). Pioglitazone elicits long-term improvements in insulin sensitivity in patients with type 2 diabetes: comparisons with gliclazide-based regimens. Diabetologia. 48(3). 553–560. 20 indexed citations
8.
Roden, Michael, Markku Laakso, Don Johns, et al.. (2005). Long‐term effects of pioglitazone and metformin on insulin sensitivity in patients with Type 2 diabetes mellitus. Diabetic Medicine. 22(8). 1101–1106. 17 indexed citations
9.
10.
Heine, Robert J., Luc F. Van Gaal, Don Johns, et al.. (2005). Exenatide versus Insulin Glargine in Patients with Suboptimally Controlled Type 2 Diabetes. Annals of Internal Medicine. 143(8). 559–569. 637 indexed citations breakdown →
11.
Tan, Meng H., et al.. (2004). Pioglitazone as monotherapy or in combination with sulfonylurea or metformin enhances insulin sensitivity (HOMA-S or QUICKI) in patients with type 2 diabetes. Current Medical Research and Opinion. 20(5). 723–728. 22 indexed citations

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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2026