R Tedde

23 papers receiving 566 citations

Peers

R Tedde
Comparison fields: 5 of 52
  • Endocrinology, Diabetes and Metabolism 451
  • Behavioral Neuroscience 26
  • Pharmacology 43
  • Physiology 101
  • Pediatrics, Perinatology and Child Health 67
Replace Haruhiko Hatakeyama with:
Haruhiko Hatakeyama Japan
J M C Connell United Kingdom
Toshio Morise Japan
J. L. Ruse Canada
TERUHISA UMEDA Japan
Sidney L. Dale United States
Shinpei Morimoto Japan
G Šindelka Czechia
Conn Jw United States
Nobusada Kuzuya Japan
R Tedde relative to Haruhiko Hatakeyama Japan Haruhiko Hatakeyama's profile →
Citations per field
00.5×3.0×
Haruhiko Hatakeyama · 1×
Citations per year

Countries citing papers authored by R Tedde

Since Specialization
Citations

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

Fields of papers citing papers by R Tedde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199878
2 199272
3 199070
4 199061
5 199260
6 199650
7 198942
8 199431
9 200624
10 199221
11 200015
12 198813
13 19917
14
Evaluation of insulin-induced changes in the renal response to furosemide in normal subjects.
19917
15
Insulin resistance and beta-cell hypersecretion in essential hypertension.
19907
16 19785
17 19904
18 19954
19
Sublingual and intravenous ketanserin versus sublingual nifedipine in the treatment of severe hypertension: a randomized study.
19904
20 19903

About R Tedde

R Tedde is a scholar working on Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Surgery, Pediatrics, Perinatology and Child Health and Nutrition and Dietetics, having authored 23 papers that have together received 587 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (11 papers), Adrenal Hormones and Disorders (7 papers), Electrolyte and hormonal disorders (5 papers), Biochemical Analysis and Sensing Techniques (3 papers), Birth, Development, and Health (3 papers), Adrenal and Paraganglionic Tumors (3 papers), Diet and metabolism studies (3 papers) and Diet, Metabolism, and Disease (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (451 citations), Behavioral Neuroscience (26 citations), Pharmacology (43 citations), Physiology (101 citations) and Pediatrics, Perinatology and Child Health (67 citations). R Tedde has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Stanley Ulick, Franco Mantero, Alessandra Melis, Leonardo A. Sechi, Paul M. Stewart, M. Palermo, Leonardo A. Sechi, Cedric Shackleton, A. Pacifico and Z. Krozowski. Their work appears in journals such as American Journal of Hypertension, Steroids, The Journal of Clinical Endocrinology & Metabolism, The American Journal of Human Genetics and Helicobacter.

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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