What is he best known for?
The fields of study he is best known for:
Lars Juhl Jensen spends much of his time researching Genetics, Computational biology, Biochemistry, Genomics and Cell biology.
His Genetics research focuses on Disease and how it connects with Data science.
His Genomics study combines topics from a wide range of disciplines, such as Adaptation and Phylogenetics.
Lars Juhl Jensen focuses mostly in the field of Cell biology, narrowing it down to topics relating to Endocrinology and, in certain cases, Angiogenesis.
His Genome research includes themes of Annotation and Druggability.
His Gene study frequently links to related topics such as Genome-wide association study.
His most cited work include:
- The SIDER database of drugs and side effects (449 citations)
- eggNOG v4.0: nested orthology inference across 3686 organisms (357 citations)
- eggNOG: automated construction and annotation of orthologous groups of genes (318 citations)
What are the main themes of his work throughout his whole career to date?
Lars Juhl Jensen mostly deals with Computational biology, Genetics, Gene, Cell biology and Internal medicine.
The concepts of his Computational biology study are interwoven with issues in Annotation, Proteome, Protein function and Function.
His research on Genetics often connects related areas such as Genome-wide association study.
Phenotype and microRNA are subfields of Gene in which his conducts study.
His Cell biology study integrates concerns from other disciplines, such as Cell cycle, Regulation of gene expression and Saccharomyces cerevisiae.
Lars Juhl Jensen works mostly in the field of Internal medicine, limiting it down to topics relating to Endocrinology and, in certain cases, Calcium, T-type calcium channel and Microcirculation, as a part of the same area of interest.
He most often published in these fields:
- Computational biology (15.76%)
- Genetics (15.76%)
- Gene (15.76%)
What were the highlights of his more recent work (between 2016-2021)?
- Gene (15.76%)
- Computational biology (15.76%)
- Text mining (6.06%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Gene, Computational biology, Text mining, Proteomics and Information retrieval.
His research integrates issues of Biomarker, Colitis and Drug discovery in his study of Gene.
His Computational biology research is multidisciplinary, relying on both Non-coding RNA, microRNA, Gene expression and Function.
His Proteomics research includes elements of Model organism, Immunoprecipitation, Cancer cell, Zebrafish and Cell biology.
His studies deal with areas such as Endogeny and Enzyme as well as Cell biology.
As a part of the same scientific study, he usually deals with the Transcriptome, concentrating on Acute ulcerative colitis and frequently concerns with Genetics.
Between 2016 and 2021, his most popular works were:
- Pharos: Collating protein information to shed light on the druggable genome (129 citations)
- RAIN: RNA-protein Association and Interaction Networks. (83 citations)
- Site-specific characterization of endogenous SUMOylation across species and organs (47 citations)
In his most recent research, the most cited papers focused on:
His scientific interests lie mostly in Human genome, Proteomics, Cell biology, Experimental data and Non-coding RNA.
His Human genome research is under the purview of Gene.
He combines subjects such as Nuclear protein and Serine, Phosphorylation with his study of Proteomics.
Lars Juhl Jensen undertakes multidisciplinary investigations into Cell biology and SUMO2 in his work.
Lars Juhl Jensen has researched Non-coding RNA in several fields, including Regulation of gene expression, Circular RNA, Cellular differentiation and Gene isoform.
His Computational biology research is multidisciplinary, incorporating perspectives in Protein function and Function.
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