P. E. Becker

667 citations
23 papers · 450 · h-index 11

Impact in

Papers in

P. E. Becker

23 papers receiving 387 citations

Peers

P. E. Becker
Comparison fields: 5 of 72
  • Cellular and Molecular Neuroscience 117
  • Genetics 59
  • Molecular Biology 269
  • Cardiology and Cardiovascular Medicine 83
  • Rheumatology 42
Replace Tiziana Mongini with:
Tiziana Mongini Italy
B Bady France
Ziad Rifai United States
Sean Germain United States
C. Sewry United Kingdom
P Ottaviani Italy
Luís Negrão Portugal
F. J. Nattrass United Kingdom
L. Baumbach United States
Vladimir Martinov Norway
P. E. Becker relative to Tiziana Mongini Italy Tiziana Mongini's profile →
Citations per field
00.5×1.5×
Tiziana Mongini · 1×
Citations per year

Countries citing papers authored by P. E. Becker

Since Specialization
Citations

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

Fields of papers citing papers by P. E. Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. E. Becker. 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 P. E. Becker. The network helps show where P. E. Becker may publish in the future.

Co-authors

The 25 scholars most cited alongside P. E. Becker, 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 P. E. Becker Line = papers co-authored together P. E. Becker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1955144
2 200754
3 196739
4 197230
5 197227
6 197921
7
Paramyotonia congenita : (Eulenburg)
197020
8 198615
9
Myotonia congenita and syndromes associated with myotonia: Clinical-genetic studies of the nondystrophic myotonias
197714
10
[Estimation of mutation rate in muscular dystrophy].
195512
11 197312
12 20079
13 19529
14 19648
15 19857
16 19647
17 19715
18 19644
19 19734
20 20004

About P. E. Becker

P. E. Becker is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Genetics and Neurology, having authored 23 papers that have together received 450 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (9 papers), Muscle Physiology and Disorders (5 papers), Mitochondrial Function and Pathology (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), Ion channel regulation and function (2 papers), Metabolism and Genetic Disorders (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (117 citations), Genetics (59 citations), Molecular Biology (269 citations), Cardiology and Cardiovascular Medicine (83 citations) and Rheumatology (42 citations). P. E. Becker has collaborated with scholars based in Germany and United States. Frequent co-authors include J. M. Schr�der, Carsten G. Bönnemann, Edgar Brunner, Knut Brockmann, Karin Neubert, Gudrun Schreiber, F. Lenz, Paul Eberlé, Rainer Knußmann and Dieter Müller. Their work appears in journals such as Human Genetics, European Archives of Psychiatry and Clinical Neuroscience, Gastroenterology, Neuromuscular Disorders and Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.

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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