Bé Wieringa

15.6k citations
193 papers · 12.6k indexed · 4 hit papers · h-index 55

Bé Wieringa

193 papers receiving 12.4k citations

Hit Papers

The SH-SY5Y cell line...70319922026200320144008001.2k

Peers

Bé Wieringa
Comparison fields: 5 of 149
  • Cellular and Molecular Neuroscience 4.9k
  • Molecular Biology 9.3k
  • Neurology 1.6k
  • Cell Biology 1.7k
  • Cardiology and Cardiovascular Medicine 1.4k
Replace Miriam H. Meisler with:
Miriam H. Meisler United States
Thomas L. Schwarz United States
Giorgio Casari Italy
Kenneth H. Fischbeck United States
Akira Kakizuka Japan
Hiroyoshi Hidaka Japan
Rune R. Frants Netherlands
Sidney Strickland United States
Yuko Fukata Japan
P. H. Seeburg Germany
Bé Wieringa relative to Miriam H. Meisler United States Miriam H. Meisler's profile →
Citations per field
00.5×1.5×1.8×
Miriam H. Meisler · 1×
Citations per year

Countries citing papers authored by Bé Wieringa

Since Specialization
Citations

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

Fields of papers citing papers by Bé Wieringa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bé Wieringa. 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 Bé Wieringa. The network helps show where Bé Wieringa may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201912
2 201336
3 2012176
4 201211
5 201257
6 2009204
7 200715
8 200762
9 200447
10 200326
11 200323
12 199860
13 199757
14 1997114
15 1996250
16 199540
17 19947
18 199120
19 198913
20 198967

About Bé Wieringa

Bé Wieringa is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology, Clinical Biochemistry and Cardiology and Cardiovascular Medicine, having authored 193 papers that have together received 12.6k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (60 papers), Mitochondrial Function and Pathology (36 papers), Muscle Physiology and Disorders (30 papers), Muscle metabolism and nutrition (24 papers), Cardiomyopathy and Myosin Studies (20 papers), Ion channel regulation and function (16 papers), Protein Tyrosine Phosphatases (13 papers) and Fungal and yeast genetics research (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.9k citations), Molecular Biology (9.3k citations), Neurology (1.6k citations), Cell Biology (1.7k citations) and Cardiology and Cardiovascular Medicine (1.4k citations). Bé Wieringa has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Gerard J.M. Martens, Helena Xicoy, Frank Oerlemans, Robert G. Korneluk, Gert Jansen, Wiljan Hendriks, Jack Fransen, Bernard A. van Oost, Mani S. Mahadevan and Chris T. Amemiya. Their work appears in journals such as Journal of Biological Chemistry, Nucleic Acids Research, Genomics, Human Molecular Genetics and Human Genetics.

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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