Hellmuth‐Alexander Meyer

1.5k citations
29 papers · 1.2k · h-index 19

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease
    • Cellular transport and secretion

Papers in

Hellmuth‐Alexander Meyer

29 papers receiving 1.2k citations

Peers

Hellmuth‐Alexander Meyer
Comparison fields: 5 of 101
  • Cancer Research 301
  • Cell Biology 168
  • Pulmonary and Respiratory Medicine 275
  • Molecular Biology 631
  • Genetics 146
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Nishit K. Mukhopadhyay United States
Kateřina Vlasáková United States
Julie A. Vendrell France
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Thilo Bracht Germany
Arzu Umar Netherlands
Shuwei Li United States
Susanna Leskelä Spain
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Citations per field
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Citations per year

Countries citing papers authored by Hellmuth‐Alexander Meyer

Since Specialization
Citations

This map shows the geographic impact of Hellmuth‐Alexander 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‐Alexander 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‐Alexander Meyer more than expected).

Fields of papers citing papers by Hellmuth‐Alexander Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hellmuth‐Alexander Meyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hellmuth‐Alexander Meyer Line = papers co-authored together Hellmuth‐Alexander Meyer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000162
2 2013128
3 201696
4 200582
5 201279
6 201272
7 200567
8 200853
9 200949
10 199645
11 200337
12 200632
13 201031
14 200828
15 200028
16 200726
17 201226
18 200922
19 200721
20 200618

About Hellmuth‐Alexander Meyer

Hellmuth‐Alexander Meyer is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research, Cell Biology and Genetics, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (10 papers), Prostate Cancer Treatment and Research (6 papers), Fungal and yeast genetics research (3 papers), Cellular transport and secretion (3 papers), Statistical Methods in Clinical Trials (3 papers), MicroRNA in disease regulation (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (301 citations), Cell Biology (168 citations), Pulmonary and Respiratory Medicine (275 citations), Molecular Biology (631 citations) and Genetics (146 citations). Hellmuth‐Alexander Meyer has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Klaus Jung, Bernard Haendler, Enno Hartmann, Carsten Stephan, Christoph Geserick, Ergin Kilic, Kurt Miller, Monika Jung, Hans‐Joachim Mollenkopf and Andreas Erbersdobler. Their work appears in journals such as Journal of Biological Chemistry, British Journal of Urology, PLoS ONE, Clinical & Experimental Allergy and Molecular and Cellular Endocrinology.

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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