Hellmuth-A. Meyer

11 total papers · 462 total citations
10 papers, 326 citations indexed

About

Hellmuth-A. Meyer is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Hellmuth-A. Meyer has authored 10 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 3 papers in Molecular Biology and 3 papers in Statistics and Probability. Recurrent topics in Hellmuth-A. Meyer's work include Prostate Cancer Diagnosis and Treatment (4 papers), Prostate Cancer Treatment and Research (4 papers) and Statistical Methods in Clinical Trials (2 papers). Hellmuth-A. Meyer is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (4 papers), Prostate Cancer Treatment and Research (4 papers) and Statistical Methods in Clinical Trials (2 papers). Hellmuth-A. Meyer collaborates with scholars based in Germany and Switzerland. Hellmuth-A. Meyer's co-authors include Klaus Jung, Carsten Stephan, Henning Cammann, Kurt Miller, Michael Lein, Enno Hartmann, Stefan A. Loening, Kai Schulze‐Forster, Frank Friedersdorff and Yerlan Ramankulov and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Hellmuth-A. Meyer

10 papers receiving 322 citations

Author Peers

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

Author Last Decade Papers Cites
Hellmuth-A. Meyer 152 117 83 50 37 10 326
David G.P. van IJzendoorn 134 0.9× 96 0.8× 50 0.6× 137 2.7× 63 1.7× 15 347
Janina Longtine 105 0.7× 75 0.6× 32 0.4× 119 2.4× 21 0.6× 10 345
Trudy N. Jonges 69 0.5× 95 0.8× 78 0.9× 54 1.1× 14 0.4× 15 303
Franz J. Hilke 68 0.4× 60 0.5× 88 1.1× 114 2.3× 17 0.5× 15 273
Jerome P. Richie 156 1.0× 94 0.8× 52 0.6× 96 1.9× 48 1.3× 10 277
W. C. Wood 104 0.7× 72 0.6× 58 0.7× 96 1.9× 19 0.5× 10 285
Hannelore Kothmaier 176 1.2× 132 1.1× 57 0.7× 94 1.9× 7 0.2× 11 334
Fatma Althoubaity 41 0.3× 108 0.9× 91 1.1× 84 1.7× 12 0.3× 10 249
Adrián García-Moreno 44 0.3× 169 1.4× 91 1.1× 34 0.7× 45 1.2× 11 344
Wang Gaoren 108 0.7× 180 1.5× 165 2.0× 101 2.0× 6 0.2× 7 353

Countries citing papers authored by Hellmuth-A. Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Hellmuth-A. Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hellmuth-A. Meyer. 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 Hellmuth-A. Meyer. The network helps show where Hellmuth-A. Meyer may publish in the future.

Co-authorship network of co-authors of Hellmuth-A. Meyer

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