Math Bollen

Luleå University of Technology
Sweden

Electronics and Electrical Engineering

Sweden

2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Electronics and Electrical Engineering D-index 67 Citations 23,526 509 World Ranking 606 National Ranking 8

Research.com Recognitions

Awards & Achievements

2023 - Research.com Electronics and Electrical Engineering in Sweden Leader Award

2022 - Research.com Electronics and Electrical Engineering in Sweden Leader Award

Overview

What is he best known for?

The fields of study Math Bollen is best known for:

Gene
Histone
Gene expression

Math Bollen performs integrative Phosphatase and Enzyme research in his work. Math Bollen performs multidisciplinary study in Enzyme and Biochemistry in his work. As part of his studies on Biochemistry, he frequently links adjacent subjects like Phosphatase. As part of his studies on Endocrinology, he often connects relevant areas like Inhibitory postsynaptic potential. Inhibitory postsynaptic potential is closely attributed to Endocrinology in his study. He undertakes multidisciplinary investigations into Isolation (microbiology) and Microbiology in his work. He performs multidisciplinary studies into Microbiology and Isolation (microbiology) in his work. He conducts interdisciplinary study in the fields of Cancer and Cancer research through his works. He integrates Cancer research with Prostate cancer in his research.

His most cited work include:

The isolation of novel inhibitory polypeptides of protein phosphatase 1 from bovine thymus nuclei. (112 citations)
The gene encoding the prostatic tumor suppressor PSP94 is a target for repression by the Polycomb group protein EZH2 (104 citations)

What are the main themes of his work throughout his whole career to date

His Statistics study overlaps with Percentile and Monte Carlo method. In his research, he performs multidisciplinary study on Monte Carlo method and Statistics. His research on Biochemistry frequently links to adjacent areas such as Phosphate. Many of his studies involve connections with topics such as Biochemistry and Phosphate. Math Bollen undertakes interdisciplinary study in the fields of Phosphatase and Okadaic acid through his research. He combines Okadaic acid and Phosphatase in his research. While working on this project, he studies both Gene and Protein subunit. Math Bollen incorporates Protein subunit and Gene in his studies. In his papers, Math Bollen integrates diverse fields, such as Enzyme and Casein.

Math Bollen most often published in these fields:

Biochemistry (54.55%)
Phosphatase (54.55%)
Gene (54.55%)

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