Rita Schröter

31 papers receiving 533 citations

Peers

Rita Schröter
Comparison fields: 5 of 70
  • Transplantation 34
  • Oncology 230
  • Nephrology 54
  • Pediatrics, Perinatology and Child Health 121
  • Biochemistry 38
Replace Moto Kajiwara with:
Moto Kajiwara Japan
Takafumi Morisaki Japan
Julius F.W. Baller Netherlands
Yi Bao China
Kenneth M. Ralto United States
Kevin Rockich United States
K Becker United States
Masamichi Katori Japan
Ravinder S. Chana United Kingdom
Ian Simpson Australia
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Citations per field
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Citations per year

Countries citing papers authored by Rita Schröter

Since Specialization
Citations

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

Fields of papers citing papers by Rita Schröter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rita Schröter, 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 Rita Schröter Line = papers co-authored together Rita Schröter 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 200570
2 200658
3 200938
4 201937
5 200934
6 200527
7 201626
8 201025
9 201824
10 201621
11 200820
12 200415
13 200814
14 201312
15 201312
16 202112
17
Failure to show a correlation between serum parathyroid hormone, nerve conduction velocity and serum lipids in hemodialysis patients.
198012
18 201910
19 202110
20 200710

About Rita Schröter

Rita Schröter is a scholar working on Oncology, Molecular Biology, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Surgery, having authored 32 papers that have together received 536 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (14 papers), Pharmacological Effects and Toxicity Studies (8 papers), Ion Transport and Channel Regulation (7 papers), Electrolyte and hormonal disorders (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Metabolism and Genetic Disorders (3 papers), Genetic and Kidney Cyst Diseases (3 papers) and Renal Transplantation Outcomes and Treatments (2 papers). The work is most often cited by research in Transplantation (34 citations), Oncology (230 citations), Nephrology (54 citations), Pediatrics, Perinatology and Child Health (121 citations) and Biochemistry (38 citations). Rita Schröter has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Eberhard Schlatter, Giuliano Ciarimboli, Bayram Edemir, Hermann Pavenstädt, Gert Gabriëls, Ute Neugebauer, Stefan Reuter, Hermann Koepsell, Valentin Gorboulev and Detlef Lang. Their work appears in journals such as International Journal of Molecular Sciences, Cellular and Molecular Life Sciences, Journal of the American Society of Nephrology, The FASEB Journal and Biomolecules.

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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