D-Index & Metrics Best Publications

Fabian J. Theis

Technical University of Munich
Germany

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

Biology and Biochemistry D-index 88 Citations 34,315 531 World Ranking 1695 National Ranking 113

Overview

What is he best known for?

The fields of study Fabian J. Theis is best known for:

Creatinine
Renal function
Kidney disease

His study ties his expertise on Internal medicine together with the subject of Kidney disease. His study ties his expertise on Creatinine together with the subject of Internal medicine. He undertakes multidisciplinary studies into Creatinine and Renal function in his work. Fabian J. Theis combines Renal function and Kidney disease in his research. As part of his studies on Population, he frequently links adjacent subjects like Environmental health. His study on Environmental health is mostly dedicated to connecting different topics, such as Population. His Endocrinology study frequently draws connections between adjacent fields such as Uric acid. His Endocrinology research extends to Uric acid, which is thematically connected. He combines Gene and Genetics in his studies.

His most cited work include:

Meta-analysis identifies multiple loci associated with kidney function–related traits in east Asian populations (246 citations)
Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems: Fig. 1. (196 citations)

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

His study explores the link between Ubiquitous computing and topics such as Human–computer interaction that cross with problems in Usability. Fabian J. Theis brings together Usability and Human–computer interaction to produce work in his papers. In his study, Law is strongly linked to Health care, which falls under the umbrella field of Economic growth. Much of his study explores Law relationship to Health care. His Data mining study frequently links to other fields, such as Data integration and Data pre-processing. He performs multidisciplinary study in Data pre-processing and Data mining in his work. His Psychiatry research incorporates elements of Medical education and Psychosocial. Fabian J. Theis brings together Medical education and Psychiatry to produce work in his papers. His Database study typically links adjacent topics like Data integration, System integration and Scalability.

Fabian J. Theis most often published in these fields:

Artificial intelligence (45.45%)
Genetics (36.36%)
Gene (27.27%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

The Human Cell Atlas

Aviv Regev;Aviv Regev;Aviv Regev;Sarah A Teichmann;Sarah A Teichmann;Sarah A Teichmann;Eric S Lander;Eric S Lander;Eric S Lander;Ido Amit.
eLife (2017)

1052 Citations

SCANPY : large-scale single-cell gene expression data analysis

F. Alexander Wolf;Philipp Angerer;Fabian J. Theis.
Genome Biology (2018)

1041 Citations

Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells

Florian Buettner;Kedar N Natarajan;Kedar N Natarajan;F Paolo Casale;Valentina Proserpio;Valentina Proserpio.
Nature Biotechnology (2015)

1029 Citations

An atlas of genetic influences on human blood metabolites

So-Youn Shin;Eric B Fauman;Ann-Kristin Petersen;Jan Krumsiek.
Nature Genetics (2014)

917 Citations

Genome-wide association analyses identify 18 new loci associated with serum urate concentrations

Anna Köttgen;Anna Köttgen;Eva Albrecht;Alexander Teumer;Veronique Vitart.
Nature Genetics (2013)

731 Citations

PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells

F. Alexander Wolf;Fiona K. Hamey;Mireya Plass;Jordi Solana.
Genome Biology (2019)

602 Citations

Diffusion pseudotime robustly reconstructs lineage branching

Laleh Haghverdi;Maren Büttner;F Alexander Wolf;Florian Buettner.
Nature Methods (2016)

597 Citations

A cellular census of human lungs identifies novel cell states in health and in asthma.

Felipe A. Vieira Braga;Gozde Kar;Marijn Berg;Orestes A. Carpaij.
Nature Medicine (2019)

468 Citations

Sparse component analysis and blind source separation of underdetermined mixtures

P. Georgiev;F. Theis;A. Cichocki.
IEEE Transactions on Neural Networks (2005)

447 Citations

Hypergraphs and cellular networks.

Steffen Klamt;Utz-Uwe Haus;Fabian J. Theis.
PLOS Computational Biology (2009)

439 Citations

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Frequent Co-Authors

External Links

Personal Website for Fabian J. Theis