T Saruta

142 papers receiving 3.5k citations

Peers

T Saruta
Comparison fields: 5 of 118
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Nephrology 430
  • Cardiology and Cardiovascular Medicine 950
  • Biochemistry 198
  • Behavioral Neuroscience 81
Replace Jan R. Stockigt with:
Jan R. Stockigt Australia
Youichi Abe Japan
Christine Maric United States
Goji Hasegawa Japan
Sandford L. Skinner Australia
Karl F. Hilgers Germany
Cristina Barlassina Italy
Annayya R. Aroor United States
Jennifer C. Sullivan United States
Boye L. Jensen Denmark
T Saruta relative to Jan R. Stockigt Australia Jan R. Stockigt's profile →
Citations per field
00.5×5.7×
Jan R. Stockigt · 1×
Citations per year

Countries citing papers authored by T Saruta

Since Specialization
Citations

This map shows the geographic impact of T Saruta'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 T Saruta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Saruta more than expected).

Fields of papers citing papers by T Saruta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995315
2 2001128
3 1991127
4 1994124
5 1994122
6 1990121
7 1994116
8 1983113
9 200487
10 197881
11 198676
12 199460
13 198157
14 199753
15 199952
16 198451
17 199249
18
Histological alterations in renal specimens as indicators of prognosis of IgA nephropathy.
199249
19
The role of sex hormones and sodium intake in postmenopausal hypertension.
199146
20 199345

About T Saruta

T Saruta is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Molecular Biology, Nephrology and Pulmonary and Respiratory Medicine, having authored 145 papers that have together received 3.7k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (36 papers), Renin-Angiotensin System Studies (19 papers), Blood Pressure and Hypertension Studies (17 papers), Nitric Oxide and Endothelin Effects (15 papers), Electrolyte and hormonal disorders (15 papers), Diabetes and associated disorders (9 papers), Neuroendocrine regulation and behavior (8 papers) and Pancreatic function and diabetes (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Nephrology (430 citations), Cardiology and Cardiovascular Medicine (950 citations), Biochemistry (198 citations) and Behavioral Neuroscience (81 citations). T Saruta has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Hiromichi Suzuki, Akira Sato, Kazuoki Kondo, Toshio Nakaki, Matsuhiko Hayashi, Takeshi Marumo, Keiichi Hishikawa, Ikuo Saito, Atsuhiro Ichihara and R Kato. Their work appears in journals such as Hypertension, Journal of Human Hypertension, American Journal of Physiology-Renal Physiology, Clinical and Experimental Hypertension and American Journal of Hypertension.

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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