W. T. Beher

83 total papers · 918 total citations
71 papers, 674 citations indexed

About

W. T. Beher is a scholar working on Oncology, Surgery and Epidemiology. According to data from OpenAlex, W. T. Beher has authored 71 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Oncology, 27 papers in Surgery and 15 papers in Epidemiology. Recurrent topics in W. T. Beher's work include Drug Transport and Resistance Mechanisms (33 papers), Cholesterol and Lipid Metabolism (19 papers) and Liver Disease Diagnosis and Treatment (15 papers). W. T. Beher is often cited by papers focused on Drug Transport and Resistance Mechanisms (33 papers), Cholesterol and Lipid Metabolism (19 papers) and Liver Disease Diagnosis and Treatment (15 papers). W. T. Beher collaborates with scholars based in United States. W. T. Beher's co-authors include W. L. Anthony, O. H. Gaebler, David G. Penney, Jonathan Parsons, Boddu Ananda Rao, Jeffrey Sanfield, Robert J. Priest, Freda L. Arlow, Alexander A. Dekovich and B. S. Narasinga Rao and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Circulation Research.

In The Last Decade

W. T. Beher

68 papers receiving 571 citations

Author Peers

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

Author Last Decade Papers Cites
W. T. Beher 266 202 151 110 100 71 674
R Kattermann 164 0.6× 71 0.4× 242 1.6× 146 1.3× 107 1.1× 78 741
C. Lutton 340 1.3× 124 0.6× 215 1.4× 166 1.5× 121 1.2× 64 740
Claude Lutton 321 1.2× 153 0.8× 189 1.3× 124 1.1× 250 2.5× 38 750
A.M. Mackinnon 319 1.2× 123 0.6× 206 1.4× 112 1.0× 90 0.9× 27 647
TORU KOMAI 148 0.6× 164 0.8× 213 1.4× 29 0.3× 61 0.6× 45 789
Tsuyoshi Murai 186 0.7× 319 1.6× 244 1.6× 40 0.4× 32 0.3× 40 697
Taiju Kuramoto 174 0.7× 226 1.1× 123 0.8× 40 0.4× 34 0.3× 41 567
J.C. Montet 276 1.0× 285 1.4× 149 1.0× 50 0.5× 60 0.6× 44 637
Mélanie Verreault 149 0.6× 322 1.6× 276 1.8× 76 0.7× 37 0.4× 31 728
Takafumi Kuzuya 183 0.7× 133 0.7× 155 1.0× 37 0.3× 27 0.3× 43 715

Countries citing papers authored by W. T. Beher

Since Specialization
Citations

This map shows the geographic impact of W. T. Beher'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 W. T. Beher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. T. Beher more than expected).

Fields of papers citing papers by W. T. Beher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. T. Beher. 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 W. T. Beher. The network helps show where W. T. Beher may publish in the future.

Co-authorship network of co-authors of W. T. Beher

This figure shows the co-authorship network connecting the top 25 collaborators of W. T. Beher. A scholar is included among the top collaborators of W. T. Beher 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 W. T. Beher. W. T. Beher 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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