Robert Schilt

1.3k citations
50 papers · 1.1k · h-index 18

Impact in

Papers in

Robert Schilt

50 papers receiving 1.0k citations

Peers

Robert Schilt
Comparison fields: 5 of 81
  • Animal Science and Zoology 619
  • Spectroscopy 346
  • Endocrinology, Diabetes and Metabolism 304
  • Small Animals 135
  • Food Science 324
Replace Leendert A. van Ginkel with:
Leendert A. van Ginkel Netherlands
Saskia S. Sterk Netherlands
Phil Teale United Kingdom
Sandra Impens Belgium
Martien L. Essers Netherlands
L.A. van Ginkel Netherlands
Hendricus Hooijerink Netherlands
Maria Irene Noronha da Silveira Portugal
Nathalie Van Hoof Belgium
Steven J. Stout United States
Robert Schilt relative to Leendert A. van Ginkel Netherlands Leendert A. van Ginkel's profile →
Citations per field
00.5×1.5×2×2.5×
Leendert A. van Ginkel · 1×
Citations per year

Countries citing papers authored by Robert Schilt

Since Specialization
Citations

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

Fields of papers citing papers by Robert Schilt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998184
2 200489
3 198875
4 200175
5 198962
6 199459
7 199054
8 200246
9 200642
10 199841
11 199136
12 199834
13 199434
14 200430
15 199828
16 199128
17 200421
18 199821
19 198917
20 200214

About Robert Schilt

Robert Schilt is a scholar working on Animal Science and Zoology, Food Science, Endocrinology, Diabetes and Metabolism, Spectroscopy and Small Animals, having authored 50 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 (20 papers), Hormonal and reproductive studies (11 papers), Mass Spectrometry Techniques and Applications (8 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 (619 citations), Spectroscopy (346 citations), Endocrinology, Diabetes and Metabolism (304 citations), Small Animals (135 citations) and Food Science (324 citations). Robert Schilt has collaborated with scholars based in Netherlands, Belgium and France. Frequent co-authors include Willem Haasnoot, Harry A. Kuiper, Maryvon Y. Noordam, Arie H. Roos, Hendricus Hooijerink, D. Courtheyn, Astrid R. M. Hamers, R.W. Frei, Udo A. Th. Brinkman and Hubert 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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