Frank Neuschäfer‐Rube

39 total papers · 894 total citations
25 papers, 714 citations indexed

About

Frank Neuschäfer‐Rube is a scholar working on Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Frank Neuschäfer‐Rube has authored 25 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Pharmacology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Frank Neuschäfer‐Rube's work include Inflammatory mediators and NSAID effects (10 papers), Receptor Mechanisms and Signaling (10 papers) and Neuropeptides and Animal Physiology (4 papers). Frank Neuschäfer‐Rube is often cited by papers focused on Inflammatory mediators and NSAID effects (10 papers), Receptor Mechanisms and Signaling (10 papers) and Neuropeptides and Animal Physiology (4 papers). Frank Neuschäfer‐Rube collaborates with scholars based in Germany, United States and Brazil. Frank Neuschäfer‐Rube's co-authors include Gerhard P. Püschel, Rino Stocco, Deborah Slipetz, Kathleen M. Metters, Mark Abramovitz, Yves Boie, Nicole Sawyer, Mark Ungrin, J Henkel and Ulrike Möller and has published in prestigious journals such as Circulation Research, Hepatology and Diabetes.

In The Last Decade

Frank Neuschäfer‐Rube

25 papers receiving 703 citations

Author Peers

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

Author Last Decade Papers Cites
Frank Neuschäfer‐Rube 304 284 145 109 105 25 714
Seiji Muro 214 0.7× 192 0.7× 88 0.6× 106 1.0× 63 0.6× 38 778
A. Ainsworth Hagen 156 0.5× 187 0.7× 115 0.8× 94 0.9× 64 0.6× 29 770
Paul DaSilva‐Jardine 271 0.9× 182 0.6× 61 0.4× 67 0.6× 94 0.9× 16 659
P. V. Halushka 191 0.6× 178 0.6× 134 0.9× 134 1.2× 45 0.4× 27 671
D.F. Woodward 223 0.7× 392 1.4× 195 1.3× 114 1.0× 112 1.1× 26 855
Pontus Forsell 344 1.1× 108 0.4× 114 0.8× 84 0.8× 72 0.7× 27 689
Iftekhar Alam 255 0.8× 245 0.9× 155 1.1× 222 2.0× 86 0.8× 19 741
Fernand Gobeil 345 1.1× 109 0.4× 153 1.1× 114 1.0× 81 0.8× 23 906
Barry Cooper 260 0.9× 182 0.6× 137 0.9× 58 0.5× 116 1.1× 18 697
Laurence Walch 318 1.0× 165 0.6× 309 2.1× 134 1.2× 60 0.6× 19 823

Countries citing papers authored by Frank Neuschäfer‐Rube

Since Specialization
Citations

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

Fields of papers citing papers by Frank Neuschäfer‐Rube

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank Neuschäfer‐Rube. 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 Frank Neuschäfer‐Rube. The network helps show where Frank Neuschäfer‐Rube may publish in the future.

Co-authorship network of co-authors of Frank Neuschäfer‐Rube

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Neuschäfer‐Rube. A scholar is included among the top collaborators of Frank Neuschäfer‐Rube 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 Frank Neuschäfer‐Rube. Frank Neuschäfer‐Rube 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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