R. Schick

27 papers receiving 848 citations

Peers

R. Schick
Comparison fields: 5 of 72
  • Endocrine and Autonomic Systems 444
  • Cellular and Molecular Neuroscience 438
  • Nutrition and Dietetics 157
  • Behavioral Neuroscience 35
  • Endocrinology, Diabetes and Metabolism 119
Replace Jaw Kang Chang with:
Jaw Kang Chang United States
Akio Inui Japan
Yoshihiko Fukue Japan
Ayman I. Sayegh United States
Emese Mihály Hungary
Martha A. Schalla Germany
Lauren M. Stein United States
Iain R. Tough United Kingdom
K. Seto Japan
Katy Slack Australia
R. Schick relative to Jaw Kang Chang United States Jaw Kang Chang's profile →
Citations per field
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Jaw Kang Chang · 1×
Citations per year

Countries citing papers authored by R. Schick

Since Specialization
Citations

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

Fields of papers citing papers by R. Schick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003121
2 198768
3 199364
4 198355
5 200254
6 198652
7 199850
8 199049
9 198642
10 199139
11 199435
12 198330
13 198930
14 198326
15 201225
16 198822
17 201022
18 200417
19 199716
20 198316

About R. Schick

R. Schick is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Physiology, Molecular Biology and Epidemiology, having authored 28 papers that have together received 876 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (20 papers), Regulation of Appetite and Obesity (9 papers), Receptor Mechanisms and Signaling (6 papers), Hypothalamic control of reproductive hormones (4 papers), Neuroendocrine regulation and behavior (4 papers), Biochemical Analysis and Sensing Techniques (3 papers), Adipose Tissue and Metabolism (3 papers) and Neuroendocrine Tumor Research Advances (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (444 citations), Cellular and Molecular Neuroscience (438 citations), Nutrition and Dietetics (157 citations), Behavioral Neuroscience (35 citations) and Endocrinology, Diabetes and Metabolism (119 citations). R. Schick has collaborated with scholars based in Germany, United States and Saudi Arabia. Frequent co-authors include V. Schusdziarra, Tony L. Yaksh, Vay Liang W. Go, Jens Zimmermann, V. Schusdziarra, V. L. W. Go, A. de la Fuente, E. F. Pfeiffer, V. Brantl and Christoph Alexiou. Their work appears in journals such as Regulatory Peptides, Brain Research, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Hormone and Metabolic Research and Peptides.

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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