Novo Nordisk Foundation

393.2k citations
6.6k papers ·

Impact in

    • Gut microbiota and health
    • Microbial Metabolic Engineering and Bioproduction
    • CRISPR and Genetic Engineering
    • Genomics and Phylogenetic Studies
    • Bioinformatics and Genomic Networks
    • Epigenetics and DNA Methylation

Papers in

Novo Nordisk Foundation

5.7k papers receiving 354.8k citations

Peers

Novo Nordisk Foundation
Comparison fields: 5 of 244
  • Molecular Biology 220.8k
  • Biological Psychiatry 4.8k
  • Physiology 43.3k
  • Endocrinology, Diabetes and Metabolism 20.9k
  • Biotechnology 10.8k
Replace Max Delbrück Center with:
Max Delbrück Center Germany
Science for Life Laboratory Sweden
Laboratory of Molecular Genetics Poland
Helmholtz Centre for Infection Research Germany
German Institute of Human Nutrition Germany
Institut de Biologie Moléculaire et Cellulaire France
University Hospital Bonn Germany
Institute of Pharmacology Czechia
Institute of Human Genetics Poland
University of Veterinary Medicine Hannover, Foundation Germany
Novo Nordisk Foundation relative to Max Delbrück Center Germany Max Delbrück Center's profile →
Citations per field
00.5×1.5×
Max Delbrück Center · 1×
Citations per year

Countries citing scholars working at Novo Nordisk Foundation

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Novo Nordisk Foundation. 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 papers produced at Novo Nordisk Foundation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Novo Nordisk Foundation more than expected).

Fields of papers published by authors at Novo Nordisk Foundation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Novo Nordisk Foundation at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Novo Nordisk Foundation at the time of their publication.

About Novo Nordisk Foundation

In recent decades, authors affiliated with Novo Nordisk Foundation have published 6.6k papers, which have received a total of 393.2k indexed citations . Scholars at this organization have produced 3.4k papers in Molecular Biology, 514 papers in Endocrinology, Diabetes and Metabolism, 651 papers in Physiology, 697 papers in Genetics and 154 papers in Endocrine and Autonomic Systems on the topics of Microbial Metabolic Engineering and Bioproduction (812 papers), CRISPR and Genetic Engineering (334 papers), Biofuel production and bioconversion (313 papers), Diabetes Treatment and Management (308 papers), Diet and metabolism studies (293 papers), Adipose Tissue and Metabolism (272 papers), Pancreatic function and diabetes (272 papers) and Gut microbiota and health (249 papers). Their work is cited by papers focused on Molecular Biology (220.8k citations), Biological Psychiatry (4.8k citations), Physiology (43.3k citations), Endocrinology, Diabetes and Metabolism (20.9k citations) and Biotechnology (10.8k citations). Authors at Novo Nordisk Foundation collaborate with scholars in Denmark, United States and Sweden and have published in prestigious journals including Nature Communications, Scientific Reports, PLoS ONE, Nucleic Acids Research and Metabolic Engineering. Some of Novo Nordisk Foundation's most productive authors include Fredrik Bäckhed, Lars Juhl Jensen, Jens Nielsen, Peer Bork, Damian Szklarczyk, Christian von Mering, Matthias Mann, Oluf Pedersen, Valentina Tremaroli and Jesper V. Olsen.

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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