Hellmuth-A. Meyer

463 total citations
10 papers, 327 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 327 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, Frank Friedersdorff, Martin Bögemann, Yerlan Ramankulov and Stefan A. Loening 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 323 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hellmuth-A. Meyer Germany 8 153 118 83 50 37 10 327
Doris Höflmayer Germany 13 98 0.6× 171 1.4× 70 0.8× 84 1.7× 23 0.6× 22 360
Franz J. Hilke Germany 10 68 0.4× 62 0.5× 89 1.1× 114 2.3× 17 0.5× 15 276
Jelmar Quist United Kingdom 10 39 0.3× 127 1.1× 72 0.9× 102 2.0× 15 0.4× 22 259
Bojin Su China 8 85 0.6× 300 2.5× 144 1.7× 101 2.0× 9 0.2× 13 473
Mihyang Ha South Korea 10 77 0.5× 177 1.5× 79 1.0× 47 0.9× 6 0.2× 30 302
Gareth Bryson United Kingdom 9 57 0.4× 70 0.6× 36 0.4× 61 1.2× 11 0.3× 20 274
Musalula Sinkala Zambia 10 59 0.4× 188 1.6× 122 1.5× 107 2.1× 7 0.2× 29 380
Suji Lee South Korea 9 61 0.4× 104 0.9× 57 0.7× 44 0.9× 7 0.2× 38 263
Palmina Cataldi Italy 12 57 0.4× 197 1.7× 70 0.8× 113 2.3× 10 0.3× 21 395
Masoud Mireskandari Germany 10 70 0.5× 112 0.9× 32 0.4× 77 1.5× 7 0.2× 20 304

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

10 of 10 papers shown
1.
Rennefahrt, Ulrike, Hellmuth-A. Meyer, Beate Kamlage, et al.. (2014). Abstract 1415: Prostate cancer: An integrated evaluation of metabolomics, transcriptomics, and proteomics expression data. Cancer Research. 74(19_Supplement). 1415–1415. 1 indexed citations
2.
Hecker, Nikolai, Carsten Stephan, Hans‐Joachim Mollenkopf, et al.. (2013). A New Algorithm for Integrated Analysis of miRNA-mRNA Interactions Based on Individual Classification Reveals Insights into Bladder Cancer. PLoS ONE. 8(5). e64543–e64543. 35 indexed citations
3.
Cammann, Henning, et al.. (2013). Artificial neural networks and prostate cancer—tools for diagnosis and management. Nature Reviews Urology. 10(3). 174–182. 64 indexed citations
4.
5.
Cammann, Henning, Klaus Jung, Hellmuth-A. Meyer, & Carsten Stephan. (2011). Avoiding Pitfalls in Applying Prediction Models, As Illustrated by the Example of Prostate Cancer Diagnosis. Clinical Chemistry. 57(11). 1490–1498. 9 indexed citations
6.
Braun, Beate C., et al.. (2010). Effect of mutations of the human serpin protein corticosteroid-binding globulin on cortisol-binding, thermal and protease sensitivity. The Journal of Steroid Biochemistry and Molecular Biology. 120(1). 30–37. 6 indexed citations
7.
Stephan, Carsten, Henning Cammann, Martin Bender, et al.. (2009). Internal validation of an artificial neural network for prostate biopsy outcome. International Journal of Urology. 17(1). 62–68. 11 indexed citations
8.
Stephan, Carsten, Henning Cammann, Hellmuth-A. Meyer, Michael Lein, & Klaus Jung. (2007). PSA and new biomarkers within multivariate models to improve early detection of prostate cancer. Cancer Letters. 249(1). 18–29. 43 indexed citations
9.
Ramankulov, Yerlan, Michael Lein, Glen Kristiansen, et al.. (2007). Elevated plasma osteopontin as marker for distant metastases and poor survival in patients with renal cell carcinoma. Journal of Cancer Research and Clinical Oncology. 133(9). 643–652. 48 indexed citations
10.
Meyer, Hellmuth-A. & Enno Hartmann. (1997). The Yeast SPC22/23 Homolog Spc3p Is Essential for Signal Peptidase Activity. Journal of Biological Chemistry. 272(20). 13159–13164. 34 indexed citations

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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