Dagmar Heydeck

61 papers receiving 1.8k citations

Peers

Dagmar Heydeck
Comparison fields: 5 of 106
  • Biochemistry 388
  • Toxicology 95
  • Immunology 399
  • Pharmacology 286
  • Biochemistry 96
Replace Matthias Walther with:
Matthias Walther Germany
Eliezer Flescher Israel
Simona Pace Germany
Takahiko Hada Japan
Bannikuppe S. Vishwanath India
Jim Barnett United States
Alan Bohrer United States
Ann V. Hertzel United States
Tong‐Shin Chang South Korea
Sankar Nath Sanyal India
Dagmar Heydeck relative to Matthias Walther Germany Matthias Walther's profile →
Citations per field
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Matthias Walther · 1×
Citations per year

Countries citing papers authored by Dagmar Heydeck

Since Specialization
Citations

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

Fields of papers citing papers by Dagmar Heydeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dagmar Heydeck. 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 Dagmar Heydeck. The network helps show where Dagmar Heydeck may publish in the future.

Co-authors

The 25 scholars most cited alongside Dagmar Heydeck, 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 Dagmar Heydeck Line = papers co-authored together Dagmar Heydeck links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010263
2 2015176
3 1997150
4 1998122
5 1998110
6 2010101
7 199685
8 201480
9 201773
10 201660
11 201860
12 199942
13 198530
14 201726
15 201826
16 201524
17 201523
18 200320
19 201920
20 200420

About Dagmar Heydeck

Dagmar Heydeck is a scholar working on Molecular Biology, Immunology, Physiology, Organic Chemistry and Biochemistry, having authored 63 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Response and Inflammation (13 papers), Immune Cell Function and Interaction (12 papers), Peroxisome Proliferator-Activated Receptors (9 papers), Asthma and respiratory diseases (8 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Fatty Acid Research and Health (4 papers), Antimicrobial Peptides and Activities (4 papers) and Antioxidant Activity and Oxidative Stress (4 papers). The work is most often cited by research in Biochemistry (388 citations), Toxicology (95 citations), Immunology (399 citations), Pharmacology (286 citations) and Biochemistry (96 citations). Dagmar Heydeck has collaborated with scholars based in Germany, United States and Russia. Frequent co-authors include Hartmut Kühn, Igor Ivanov, Valerie B. O’Donnell, Katharina Hofheinz, Kerstin Schnurr, Matthias Walther, Jana Roffeis, Sabine Stehling, Christoph Ufer and Gerhard Kolde. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Blood, Archives of Biochemistry and Biophysics, International Journal of Molecular Sciences and Journal of Lipid Research.

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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