Technical University of Munich (TUM)
Technische Universität München (TUM)


The Technical University of Munich (TUM) is one of Europe’s leading universities in science and technology, and one of Germany’s Universities of Excellence. With our research agenda “human-centered engineering“ we put people and their lives at the heart of our scientific endeavours – whether we are investigating the origins of life, matter and the universe, or looking for solutions to the major challenges for our society.

Research news

Latest top-level research from a broad range of subjects that is unparalleled in continental Europe:

Top ranking results

International rankings regularly place TUM among the top universities in Germany and in Europe. Rankings

Our agenda: Human-centered research and innovation

We are seeking to understand the essential foundations of life, to maintain health and target diseases, and to shape a sustainable living enviroment. We are creating new materials and advanced manufacturing technologies, we are pioneering the digital transformation for a secure future – and are above all committed to responsible research and innovation in service of society.

Join us: Research careers, graduate studies and more

Talent is the key to our success. Join us as professor, postdoc, or for your graduate studies (PhD or master‘s level; no tuition fees) in a vibrant academic community.

Technical University of Munich (TUM) retains sole responsibility for content © 2020 Technical University of Munich (TUM).

Portrait: Technical University of Munich – 150 Years culture of excellence

1 August 2019 - 31 July 2020

Region: Global
Subject/journal group: All

The table to the right includes counts of all research outputs for Technical University of Munich (TUM) published between 1 August 2019 - 31 July 2020 which are tracked by the Nature Index.

Hover over the donut graph to view the FC output for each subject. Below, the same research outputs are grouped by subject. Click on the subject to drill-down into a list of articles organized by journal, and then by title.

Note: Articles may be assigned to more than one subject area.

Count Share
607 168.41

Outputs by subject (Share)

Subject Count Share
Life Sciences 222 42.97
Chemistry 157 68.27
Earth & Environmental Sciences 25 7.61
Physical Sciences 271 61.35

Highlight of the month

Time-stamped stool reveals risk of diabetes



The relative abundances of different bacteria in the gut wax and wane predictably over the course of 24 hours. In people with obesity and type 2 diabetes, however, this regular daily pattern is perturbed — a finding that functionally links circadian rhythms in the gut microbiome with metabolic disease.

A Technical University of Munich–led team used DNA sequencing data from time-stamped stool samples, coupled with machine-learning techniques, to identify 13 taxonomic groups of oscillating gut bacteria that showed disrupted rhythmicity in obese, diabetic individuals.

This arrhythmic signature allowed the researchers to develop a predictive model that, when combined with body mass index, could identify individuals at highest risk of developing type 2 diabetes.

Microbial rhythmicity could thus serve as a potential diagnostic biomarker to improve the care and management of people with type 2 diabetes.

Supported content

  1. Cell Host & Microbe 28, 258–272.e6 (2020). doi: 10.1016/j.chom.2020.06.004

View the article on the Nature Index

See more research highlights from Technical University of Munich (TUM)

More research highlights from Technical University of Munich (TUM)

1 August 2019 - 31 July 2020

International vs. domestic collaboration by Share

  • 40.01% Domestic
  • 59.99% International

Note: Hover over the graph to view the percentage of collaboration.

Note: Collaboration is determined by the fractional count (Share), which is listed in parentheses.

Affiliated joint institutions and consortia

Return to institution outputs