Teizo Sata

23 papers receiving 1.1k citations

Peers

Teizo Sata
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 597
  • Cancer Research 371
  • Biochemistry 153
  • Surgery 531
  • Cardiology and Cardiovascular Medicine 257
Replace R J Havel with:
R J Havel United States
Y Oschry Israel
Barbara Pfleger United States
P. Alaupovic United States
J M Hoeg United States
L Kotite United States
D. Reichl United Kingdom
Garry J. Hopkins Australia
Y L Marcel Canada
Allen D. Cooper United States
Teizo Sata relative to R J Havel United States R J Havel's profile →
Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Teizo Sata

Since Specialization
Citations

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

Fields of papers citing papers by Teizo Sata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Teizo Sata, 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 Teizo Sata Line = papers co-authored together Teizo Sata 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 1975343
2 1972318
3 1971180
4 1975122
5 197065
6 198442
7 198330
8 197628
9 198425
10 198921
11 198018
12 196610
13 19919
14 19697
15 19846
16 19884
17 20004
18
Interleukin 6 and tumor necrosis factor fully activate liver-specific gene expression of the alpha chain of C4b-binding protein.
19914
19
Membranous glomerulonephritis as an outstanding feature of renal lesions in autoimmune graft-vs-host F1 mice.
19902
20
Specificity of energy metabolism of coronary artery.
19652

About Teizo Sata

Teizo Sata is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research, Cardiology and Cardiovascular Medicine and Nephrology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Lipid metabolism and disorders (5 papers), Renal Diseases and Glomerulopathies (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Glycosylation and Glycoproteins Research (2 papers), Chronic Kidney Disease and Diabetes (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (597 citations), Cancer Research (371 citations), Biochemistry (153 citations), Surgery (531 citations) and Cardiology and Cardiovascular Medicine (257 citations). Teizo Sata has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Richard J. Havel, John P. Kane, Albert L. Jones, Robert L. Hamilton, R J Havel, A.E. Blaurock, Robert L. Hamilton, Ole Færgeman, Peter D. Wood and Laurance W. Kinsell. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Clinical Investigation, Journal of Lipid Research, Atherosclerosis and Analytical Biochemistry.

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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