R. Sitt

805 citations
39 papers · 598 · h-index 15

Impact in

Papers in

R. Sitt

37 papers receiving 550 citations

Peers

R. Sitt
Comparison fields: 5 of 70
  • Genetics 213
  • Clinical Biochemistry 61
  • Endocrinology, Diabetes and Metabolism 131
  • Neurology 70
  • Biochemistry 33
Replace Marie Buléon with:
Marie Buléon France
Yukako Kinoshita Japan
Mototaka Yoshinari Japan
Karen L. Madsen Denmark
Linda J. McKinley United States
Charles V. Jackson United States
S Fukuchi Japan
J. H. Lee South Korea
Sachin Majumdar United States
R. Sitt relative to Marie Buléon France Marie Buléon's profile →
Citations per field
00.5×
Marie Buléon · 1×
Citations per year

Countries citing papers authored by R. Sitt

Since Specialization
Citations

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

Fields of papers citing papers by R. Sitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Inhibitors of the rate of carbohydrate and lipid absorption by the intestine.
198451
2 201246
3
[Biochemical bases of diazoxide hyperglycemia].
196646
4 201444
5 196643
6 201641
7 201239
8 196633
9 201832
10 202126
11 196820
12 201619
13 201618
14 196615
15 196614
16 196710
17 19669
18 19668
19 19658
20 20137

About R. Sitt

R. Sitt is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Epidemiology, Molecular Biology and Clinical Biochemistry, having authored 39 papers that have together received 598 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (9 papers), Meningioma and schwannoma management (8 papers), Metabolism and Genetic Disorders (5 papers), Electrolyte and hormonal disorders (5 papers), Brain Metastases and Treatment (4 papers), Potassium and Related Disorders (4 papers), Hormonal Regulation and Hypertension (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Genetics (213 citations), Clinical Biochemistry (61 citations), Endocrinology, Diabetes and Metabolism (131 citations), Neurology (70 citations) and Biochemistry (33 citations). R. Sitt has collaborated with scholars based in Germany, Israel and Australia. Frequent co-authors include Wolfgang Losert, G. Senft, G. Schultz, Zvi Ram, Rachel Grossman, Erez Nossek, Tal Gonen, H. Kaess, Tal Shahar and Ori Barzilai. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, Journal of neurosurgery, Annals of Surgical Oncology, World Neurosurgery and Neurosurgery.

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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