Daniel Auge

703 citations
10 papers · 609 · h-index 9

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Inflammatory mediators and NSAID effects
  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms

Papers in

Daniel Auge

10 papers receiving 574 citations

Peers

Daniel Auge
Comparison fields: 5 of 90
  • Pharmacology 125
  • Oncology 304
  • Pediatrics, Perinatology and Child Health 168
  • Biochemistry 59
  • Pharmacology 83
Replace Kazuya Ishida with:
Kazuya Ishida Japan
P. Marathe United States
Masato Taguchi Japan
Eva Ludwig-Schwellinger Germany
Yayoi Hayashi Japan
Kenichi Umehara Switzerland
Kenneth J. Ruterbories United States
Noriko Okudaira Japan
Leslie Z. Benet United States
Paul Toren United States
Daniel Auge relative to Kazuya Ishida Japan Kazuya Ishida's profile →
Citations per field
00.5×1.6×
Kazuya Ishida · 1×
Citations per year

Countries citing papers authored by Daniel Auge

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Auge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2007180
2 201491
3 200377
4 200669
5 201256
6 201152
7 201047
8 201321
9 20198
10
[ST segmental changes and arrhythmias in obstructive sleep apnea].
19918

About Daniel Auge

Daniel Auge is a scholar working on Oncology, Molecular Biology, Pharmacology, Pediatrics, Perinatology and Child Health and Spectroscopy, having authored 10 papers that have together received 609 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (5 papers), Pharmacological Effects and Toxicity Studies (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Amino Acid Enzymes and Metabolism (1 paper), Inflammatory mediators and NSAID effects (1 paper), Analytical Methods in Pharmaceuticals (1 paper), Cardiovascular and Diving-Related Complications (1 paper) and Antibiotics Pharmacokinetics and Efficacy (1 paper). The work is most often cited by research in Pharmacology (125 citations), Oncology (304 citations), Pediatrics, Perinatology and Child Health (168 citations), Biochemistry (59 citations) and Pharmacology (83 citations). Daniel Auge has collaborated with scholars based in Germany, Czechia and Switzerland. Frequent co-authors include Martin F. Fromm, Jörg König, Maren Mieth, Ulrike Werner, Katrin Singer, Frank Dörje, Georg Heinkele, N Wolf, Annick Seithel and Renke Maas. Their work appears in journals such as British Journal of Pharmacology, Drug Metabolism and Disposition, Biomedical Chromatography, Journal of Molecular and Cellular Cardiology and Amino Acids.

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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