Daniela Strzoda

795 citations
7 papers · 579 · h-index 6

Impact in

  • Physiology top 5%
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies
    • Nutrition and Health in Aging
    • Exercise and Physiological Responses

Papers in

    • Adipose Tissue and Metabolism 3
    • Diet and metabolism studies 2
    • Peroxisome Proliferator-Activated Receptors 1
    • RNA Research and Splicing 1

Daniela Strzoda

7 papers receiving 575 citations

Peers

Daniela Strzoda
Comparison fields: 5 of 58
  • Physiology 380
  • Rehabilitation 55
  • Biochemistry 61
  • Epidemiology 229
  • Cancer Research 60
Replace Marie S. Isidor with:
Marie S. Isidor Denmark
Ineke Luijten United Kingdom
Mireia Jové Spain
Megan Kissig United States
Lasse K. Markussen Denmark
Anthony Okolo United Kingdom
Yaguang Si United States
Serge Ducommun Switzerland
Christiana Kausch Germany
Ankit X. Sharma United States
Daniela Strzoda relative to Marie S. Isidor Denmark Marie S. Isidor's profile →
Citations per field
00.5×3.5×
Marie S. Isidor · 1×
Citations per year

Countries citing papers authored by Daniela Strzoda

Since Specialization
Citations

This map shows the geographic impact of Daniela Strzoda's research. 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 Daniela Strzoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Strzoda more than expected).

Fields of papers citing papers by Daniela Strzoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Strzoda. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniela Strzoda. The network helps show where Daniela Strzoda may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniela Strzoda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Strzoda Line = papers co-authored together Daniela Strzoda links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2010371
2 201348
3 200942
4 201040
5 201338
6 201436
7 20144

About Daniela Strzoda

Daniela Strzoda is a scholar working on Physiology, Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology and Clinical Biochemistry, having authored 7 papers that have together received 579 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Lipid metabolism and disorders (2 papers), Diet and metabolism studies (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Lipid metabolism and biosynthesis (1 paper), RNA Research and Splicing (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Physiology (380 citations), Rehabilitation (55 citations), Biochemistry (61 citations), Epidemiology (229 citations) and Cancer Research (60 citations). Daniela Strzoda has collaborated with scholars based in Germany, Switzerland and Japan. Frequent co-authors include Stephan Herzig, Mauricio Berriel Díaz, Alexandros Vegiopoulos, Karin Müller‐Decker, Walter Wahli, Jan Rozman, Martin Klingenspor, Martin Hrabě de Angelis, Iris Schmitt and Rolf M. Nüsing. Their work appears in journals such as Diabetes, Science, The EMBO Journal, Molecular Metabolism and Cell Metabolism.

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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