Daniela Strzoda

789 citations
7 papers · 572 · h-index 6

Impact in

  • Physiology top 5%
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies
    • Nutrition and Health in Aging
  • Biochemistry top 10%
    • Lipid metabolism and biosynthesis

Papers in

    • Adipose Tissue and Metabolism 4
    • Diet and metabolism studies 2
    • Inflammasome and immune disorders 1
    • Metabolism, Diabetes, and Cancer 1
    • RNA Research and Splicing 1

Daniela Strzoda

7 papers receiving 568 citations

Peers

Daniela Strzoda
Comparison fields: 5 of 59
  • Physiology 404
  • Biochemistry 70
  • Rehabilitation 62
  • Epidemiology 255
  • Cancer Research 70
Replace Marie S. Isidor with:
Marie S. Isidor Denmark
Ineke Luijten United Kingdom
Yachen Shen China
Megan Kissig United States
Yaguang Si United States
Christiana Kausch Germany
Anthony Okolo United Kingdom
Lasse K. Markussen Denmark
Qianwei Zhao China
Wen‐Yu Hsiao 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 2010367
2 201347
3 201040
4 200940
5 201338
6 201436
7 20144

About Daniela Strzoda

Daniela Strzoda is a scholar working on Physiology, Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine and Surgery, having authored 7 papers that have together received 572 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Lipid metabolism and disorders (3 papers), Diet and metabolism studies (2 papers), Metabolism and Genetic Disorders (1 paper), Inflammasome and immune disorders (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Physiology (404 citations), Biochemistry (70 citations), Rehabilitation (62 citations), Epidemiology (255 citations) and Cancer Research (70 citations). Daniela Strzoda has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include Stephan Herzig, Mauricio Berriel Díaz, Alexandros Vegiopoulos, Karin Müller‐Decker, Agnès Ostertag, Evgeny Chichelnitskiy, Carola W. Meyer, Rolf M. Nüsing, Martin Klingenspor and Jan Rozman. Their work appears in journals such as Diabetes, Cell Metabolism, The EMBO Journal, Science and Molecular 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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