Edgar Hänseler

60 total papers · 1.2k total citations
45 papers, 913 citations indexed

About

Edgar Hänseler is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Edgar Hänseler has authored 45 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cardiology and Cardiovascular Medicine and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Edgar Hänseler's work include Pesticide Residue Analysis and Safety (3 papers), Alkaline Phosphatase Research Studies (3 papers) and Mechanical Circulatory Support Devices (3 papers). Edgar Hänseler is often cited by papers focused on Pesticide Residue Analysis and Safety (3 papers), Alkaline Phosphatase Research Studies (3 papers) and Mechanical Circulatory Support Devices (3 papers). Edgar Hänseler collaborates with scholars based in Switzerland, Germany and United States. Edgar Hänseler's co-authors include Katharina Rentsch, Martin Hersberger, Jacqueline Marti-Jaun, Dora M. Rast, Thomas F. Lüscher, Georg Noll, Frank Ruschitzka, Roberto Corti, William F. Chaplin and Christian Binggeli and has published in prestigious journals such as Circulation, The Journal of Immunology and British Journal of Cancer.

In The Last Decade

Edgar Hänseler

44 papers receiving 868 citations

Author Peers

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

Author Last Decade Papers Cites
Edgar Hänseler 211 202 172 112 98 45 913
Keith K. H. Chan 247 1.2× 220 1.1× 118 0.7× 54 0.5× 186 1.9× 63 1.2k
HJ Rogers 263 1.2× 197 1.0× 138 0.8× 56 0.5× 153 1.6× 38 950
Patricia D. Williams 311 1.5× 283 1.4× 93 0.5× 56 0.5× 195 2.0× 55 1.1k
Stephen A. Bai 158 0.7× 146 0.7× 83 0.5× 115 1.0× 125 1.3× 34 846
Peter R. Gwilt 228 1.1× 92 0.5× 119 0.7× 41 0.4× 207 2.1× 44 961
Amany M. Gad 254 1.2× 110 0.5× 135 0.8× 69 0.6× 112 1.1× 58 1.1k
Peter Seideman 119 0.6× 179 0.9× 115 0.7× 90 0.8× 61 0.6× 49 1.1k
J.P. Desager 130 0.6× 121 0.6× 172 1.0× 88 0.8× 122 1.2× 68 1.1k
Jaroslav Chládek 187 0.9× 119 0.6× 130 0.8× 49 0.4× 155 1.6× 66 1.2k
Jingjing Zhang 367 1.7× 283 1.4× 76 0.4× 88 0.8× 174 1.8× 56 1.1k

Countries citing papers authored by Edgar Hänseler

Since Specialization
Citations

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

Fields of papers citing papers by Edgar Hänseler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edgar Hänseler

This figure shows the co-authorship network connecting the top 25 collaborators of Edgar Hänseler. A scholar is included among the top collaborators of Edgar Hänseler 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 Edgar Hänseler. Edgar Hänseler 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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