Inge Schuster

32 papers receiving 1.3k citations

Peers

Inge Schuster
Comparison fields: 5 of 102
  • Pathology and Forensic Medicine 697
  • Endocrinology, Diabetes and Metabolism 258
  • Pharmacology 101
  • Behavioral Neuroscience 39
  • Nutrition and Dietetics 165
Replace Ferdinand Molnár with:
Ferdinand Molnár Finland
Yoshio Aizawa Japan
Hitoshi Ishizuka Japan
Orestes Tsolas Greece
K.M. Anderson United States
Jean B. Smith United States
Andrea E. DeBarber United States
Mikio Shikita Japan
G.L. Mills United Kingdom
M F Jayle France
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Citations per field
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Citations per year

Countries citing papers authored by Inge Schuster

Since Specialization
Citations

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

Fields of papers citing papers by Inge Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010242
2 2007123
3 1997109
4 197194
5 200189
6 201177
7 200172
8 197165
9 200355
10 199950
11 197246
12 200144
13 200742
14 200333
15 200032
16
Selective inhibitors of vitamin D metabolism--new concepts and perspectives.
200630
17 201128
18 200323
19 196921
20 201320

About Inge Schuster

Inge Schuster is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Vitamin D Research Studies (17 papers), Estrogen and related hormone effects (8 papers), Metabolism and Genetic Disorders (5 papers), Adrenal Hormones and Disorders (4 papers), Enzyme Structure and Function (4 papers), Hormonal Regulation and Hypertension (3 papers), Stress Responses and Cortisol (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (697 citations), Endocrinology, Diabetes and Metabolism (258 citations), Pharmacology (101 citations), Behavioral Neuroscience (39 citations) and Nutrition and Dietetics (165 citations). Inge Schuster has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Kasper Kirschner, G. Satyanarayana Reddy, H. Egger, Rita Bernhardt, Meinrad Peterlik, Heide S. Cross, E. Gallego, David M. Goodall, G. Ellenrieder and Yuliya Y. Kleshchenko. Their work appears in journals such as Steroids, Archives of Biochemistry and Biophysics, Journal of Cellular Biochemistry, European Journal of Biochemistry and Recent results in cancer research.

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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