Gilbert Wagener

25 total papers · 1.5k total citations
18 papers, 737 citations indexed

About

Gilbert Wagener is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Gilbert Wagener has authored 18 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Cardiology and Cardiovascular Medicine and 4 papers in Surgery. Recurrent topics in Gilbert Wagener's work include Blood Pressure and Hypertension Studies (7 papers), Diabetes Treatment and Management (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). Gilbert Wagener is often cited by papers focused on Blood Pressure and Hypertension Studies (7 papers), Diabetes Treatment and Management (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). Gilbert Wagener collaborates with scholars based in Germany, Italy and United Kingdom. Gilbert Wagener's co-authors include Luís M. Ruilope, Handrean Soran, Scott Chasan-Taber, R Češka, Morris J. Brown, Lesley Burgess, A Castaigne, Jean‐Claude Tardif, Giuseppe Mancia and Mary P. McGowan and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Stroke.

In The Last Decade

Gilbert Wagener

18 papers receiving 690 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gilbert Wagener 358 283 251 138 87 18 737
E L Bravo 331 0.9× 244 0.9× 266 1.1× 165 1.2× 60 0.7× 31 742
Antonella Pansini 230 0.6× 118 0.4× 312 1.2× 165 1.2× 44 0.5× 24 775
Fabiana Filigheddu 353 1.0× 212 0.7× 432 1.7× 198 1.4× 29 0.3× 25 787
Anders Bröijersén 289 0.8× 212 0.7× 123 0.5× 121 0.9× 45 0.5× 27 717
Paolo Pinna Parpaglia 334 0.9× 181 0.6× 311 1.2× 171 1.2× 25 0.3× 27 729
Sarah Sloan 560 1.6× 322 1.1× 95 0.4× 67 0.5× 45 0.5× 21 840
Jaimini Cegla 149 0.4× 452 1.6× 298 1.2× 95 0.7× 81 0.9× 41 728
Inger Sihm 365 1.0× 144 0.5× 164 0.7× 86 0.6× 35 0.4× 21 739
Bradley McEvoy 294 0.8× 203 0.7× 222 0.9× 212 1.5× 138 1.6× 13 721
Juan Asbún 360 1.0× 137 0.5× 149 0.6× 209 1.5× 55 0.6× 21 691

Countries citing papers authored by Gilbert Wagener

Since Specialization
Citations

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

Fields of papers citing papers by Gilbert Wagener

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gilbert Wagener

This figure shows the co-authorship network connecting the top 25 collaborators of Gilbert Wagener. A scholar is included among the top collaborators of Gilbert Wagener 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 Gilbert Wagener. Gilbert Wagener is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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