Peter Dieter

4.2k citations
98 papers · 3.5k indexed · h-index 36

Peter Dieter

98 papers receiving 3.4k citations

Peers

Peter Dieter
Comparison fields: 5 of 138
  • Biochemistry 257
  • Immunology 560
  • Molecular Biology 1.5k
  • Physiology 96
  • Cell Biology 323
Replace Futoshi Okada with:
Futoshi Okada Japan
Fulvio Della Ragione Italy
Amelia Cataldi Italy
M. Fátima Leite Brazil
Suvro Chatterjee India
Adolf Ellinger Austria
Jae‐Seon Lee South Korea
Claudio Mauro United Kingdom
Kenji Takamori Japan
Masaki Inada Japan
Peter Dieter relative to Futoshi Okada Japan Futoshi Okada's profile →
Citations per field
00.5×1.5×2.3×
Futoshi Okada · 1×
Citations per year

Countries citing papers authored by Peter Dieter

Since Specialization
Citations

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

Fields of papers citing papers by Peter Dieter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201731
2 201618
3 200962
4
Characterization of macrophage subpopulations and microvessel density in carcinomas of the gastrointestinal tract.
20076
5 200682
6
Lehrmethoden in der Anästhesie und Intensivmedizin: Chancen der neuen Approbationsordnung für das Fachgebiet
20051
7 200213
8 200255
9 200045
10 19972
11 19955
12 199211
13 199218
14 199214
15 19916
16 19919
17 199010
18 198913
19 198844
20 198231

About Peter Dieter

Peter Dieter is a scholar working on Biochemistry, Molecular Biology, Pharmacology, Pharmacology and Cell Biology, having authored 98 papers that have together received 3.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (22 papers), Nitric Oxide and Endothelin Effects (14 papers), Eicosanoids and Hypertension Pharmacology (13 papers), Inflammatory mediators and NSAID effects (13 papers), Peroxisome Proliferator-Activated Receptors (9 papers), Receptor Mechanisms and Signaling (8 papers), Bone Tissue Engineering Materials (7 papers) and Proteoglycans and glycosaminoglycans research (6 papers). The work is most often cited by research in Biochemistry (257 citations), Immunology (560 citations), Molecular Biology (1.5k citations), Physiology (96 citations) and Cell Biology (323 citations). Peter Dieter has collaborated with scholars based in Germany, Japan and Switzerland. Frequent co-authors include Edith Fitzke, Dieter Marmé, H. Schwende, Petra Ambs, Ute Hempel, K. Decker, Agnes Schulze‐Specking, Justus Duyster, Dieter Marm� and Ren-Yuan Bai. Their work appears in journals such as European Journal of Biochemistry, Biochemical and Biophysical Research Communications, Cellular Signalling, Advances in experimental medicine and biology and FEBS Letters.

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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