E.A. van Schaick

17 papers receiving 544 citations

Peers

E.A. van Schaick
Comparison fields: 5 of 84
  • Physiology 192
  • Pharmacology 54
  • Cellular and Molecular Neuroscience 96
  • Pharmaceutical Science 26
  • Statistics and Probability 33
Replace Duncan Armstrong with:
Duncan Armstrong United Kingdom
D. Tytgat Belgium
Adriaan Cleton United States
Mark Niosi United States
Joanne Wang United States
Nathan S. Teuscher United States
L. B. Jellett Australia
Ravi B. Marala United States
Wolfgang Landgraf Germany
M. Ohno Japan
E.A. van Schaick relative to Duncan Armstrong United Kingdom Duncan Armstrong's profile →
Citations per field
00.5×4.3×
Duncan Armstrong · 1×
Citations per year

Countries citing papers authored by E.A. van Schaick

Since Specialization
Citations

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

Fields of papers citing papers by E.A. van Schaick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.A. van Schaick. 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 E.A. van Schaick. The network helps show where E.A. van Schaick may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2006141
2 199663
3
Mechanism-based pharmacokinetic-pharmacodynamic modeling of antilipolytic effects of adenosine A(1) receptor agonists in rats: prediction of tissue-dependent efficacy in vivo.
199954
4 199445
5 199742
6 200337
7 199835
8 199932
9 199927
10 199323
11 199719
12 199717
13 199714
14 199811
15 199710
16 19954
17 19961

About E.A. van Schaick

E.A. van Schaick is a scholar working on Molecular Biology, Physiology, Organic Chemistry, Pediatrics, Perinatology and Child Health and Gastroenterology, having authored 17 papers that have together received 575 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (13 papers), Pharmacological Receptor Mechanisms and Effects (8 papers), Receptor Mechanisms and Signaling (7 papers), Synthesis and Biological Evaluation (5 papers), Gastroesophageal reflux and treatments (3 papers), Pharmaceutical studies and practices (2 papers), Drug Solubulity and Delivery Systems (1 paper) and Pharmacological Effects and Toxicity Studies (1 paper). The work is most often cited by research in Physiology (192 citations), Pharmacology (54 citations), Cellular and Molecular Neuroscience (96 citations), Pharmaceutical Science (26 citations) and Statistics and Probability (33 citations). E.A. van Schaick has collaborated with scholars based in Netherlands, United States and Switzerland. Frequent co-authors include Meindert Danhof, Adriaan P. IJzerman, Ron A. A. Mathôt, Philippe Jacqmin, Jean‐Louis Steimer, Ronald Gieschke, Eric Snoeck, P. Krishna Pillai, Pascal Girard and Piet H. van der Graaf. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, British Journal of Pharmacology, Journal of Pharmaceutical Sciences, Naunyn-Schmiedeberg s Archives of Pharmacology and European Journal of Pharmaceutical Sciences.

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.

Explore authors with similar magnitude of impact