R. Schilt

1.3k citations
51 papers · 1.1k indexed · h-index 18

Impact in

Papers in

R. Schilt

50 papers receiving 1000 citations

Peers

R. Schilt
Comparison fields: 5 of 79
  • Animal Science and Zoology 610
  • Spectroscopy 322
  • Small Animals 134
  • Endocrinology, Diabetes and Metabolism 296
  • Food Science 320
Replace Leendert A. van Ginkel with:
Leendert A. van Ginkel Netherlands
Saskia S. Sterk Netherlands
Sandra Impens Belgium
Martien L. Essers Netherlands
L.A. van Ginkel Netherlands
M. C. Dumasia United Kingdom
M Van de Wiele Belgium
Nathalie Van Hoof Belgium
Steven J. Stout United States
Jeffrey A Hurlbut United States
R. Schilt relative to Leendert A. van Ginkel Netherlands Leendert A. van Ginkel's profile →
Citations per field
00.5×2.5×
Leendert A. van Ginkel · 1×
Citations per year

Countries citing papers authored by R. Schilt

Since Specialization
Citations

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

Fields of papers citing papers by R. Schilt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998175
2 200480
3 198867
4 200166
5 199459
6 198958
7 199051
8 200246
9 200639
10 199839
11 199136
12 199431
13 200430
14 199829
15 199828
16 199123
17 199821
18 200421
19 198917
20 200214

About R. Schilt

R. Schilt is a scholar working on Animal Science and Zoology, Food Science, Small Animals, Endocrinology, Diabetes and Metabolism and Spectroscopy, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacological Effects and Assays (23 papers), Pesticide Residue Analysis and Safety (19 papers), Hormonal and reproductive studies (11 papers), Mass Spectrometry Techniques and Applications (7 papers), Meat and Animal Product Quality (7 papers), Receptor Mechanisms and Signaling (5 papers), Veterinary Pharmacology and Anesthesia (4 papers) and Analytical Methods in Pharmaceuticals (3 papers). The work is most often cited by research in Animal Science and Zoology (610 citations), Spectroscopy (322 citations), Small Animals (134 citations), Endocrinology, Diabetes and Metabolism (296 citations) and Food Science (320 citations). R. Schilt has collaborated with scholars based in Netherlands, Belgium and France. Frequent co-authors include Willem Haasnoot, H.A. Kuiper, M.Y. Noordam, A.H. Roos, H. Hooijerink, D. Courtheyn, Astrid R. M. Hamers, R.W. Frei, U.A.Th. Brinkman and H.F. De Brabander. Their work appears in journals such as The Analyst, Food Additives & Contaminants, Analytica Chimica Acta, Journal of Chromatography A and Journal of Pharmaceutical and Biomedical Analysis.

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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