Dagmar Heydeck

2.2k citations
62 papers · 1.8k indexed · h-index 20

Dagmar Heydeck

60 papers receiving 1.7k citations

Peers

Dagmar Heydeck
Comparison fields: 5 of 108
  • Biochemistry 385
  • Toxicology 100
  • Immunology 427
  • Pharmacology 307
  • Biochemistry 89
Replace Matthias Walther with:
Matthias Walther Germany
Eliezer Flescher Israel
Bannikuppe S. Vishwanath India
Takahiko Hada Japan
Margaret M. Briehl United States
Sankar Nath Sanyal India
Alan Bohrer United States
Tong‐Shin Chang South Korea
Ann V. Hertzel United States
Michael Adams Canada
Dagmar Heydeck relative to Matthias Walther Germany Matthias Walther's profile →
Citations per field
00.5×1.5×2.3×
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-authorship network

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
#Work
1 20240
2 20233
3 20234
4 20225
5 20207
6 20209
7 20195
8 201815
9 20182
10 201725
11 201770
12 20164
13 201522
14 201476
15 20149
16 201414
17 201311
18 2010248
19 1997133
20 19919

About Dagmar Heydeck

Dagmar Heydeck is a scholar working on Toxicology, Immunology, Biochemistry, Biochemistry and Microbiology, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immune Response and Inflammation (13 papers), Immune Cell Function and Interaction (12 papers), Asthma and respiratory diseases (10 papers), Peroxisome Proliferator-Activated Receptors (9 papers), Antioxidant Activity and Oxidative Stress (4 papers), Antimicrobial Peptides and Activities (4 papers), Eicosanoids and Hypertension Pharmacology (4 papers) and Fatty Acid Research and Health (4 papers). The work is most often cited by research in Biochemistry (385 citations), Toxicology (100 citations), Immunology (427 citations), Pharmacology (307 citations) and Biochemistry (89 citations). Dagmar Heydeck has collaborated with scholars based in Germany, United States and Russia. Frequent co-authors include Hartmut Kühn, Igor Ivanov, Kerstin Schnurr, Valerie B. O’Donnell, Katharina Hofheinz, Matthias Walther, Jana Roffeis, Sabine Stehling, Christoph Ufer and Thomas Rosenbach. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Archives of Biochemistry and Biophysics, International Journal of Molecular Sciences, Blood and Inflammation 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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