Toshie Saito

1.4k citations
22 papers · 969 indexed · h-index 15

Toshie Saito

21 papers receiving 964 citations

Peers

Toshie Saito
Comparison fields: 5 of 90
  • Nephrology 152
  • Cardiology and Cardiovascular Medicine 433
  • Endocrinology, Diabetes and Metabolism 265
  • Pulmonary and Respiratory Medicine 301
  • Cancer Research 79
Replace Wei‐Zhong Ying with:
Wei‐Zhong Ying United States
Valentina Câmpean Germany
Yasuko Kawano Japan
Giovanna Castoldi Italy
Yutaka Hisada Japan
Jana Ortmann Switzerland
Mitsumine Fukui Japan
Gisselle Carvajal Spain
Ikuko Nakamura Japan
Michèle Cambillau France
Toshie Saito relative to Wei‐Zhong Ying United States Wei‐Zhong Ying's profile →
Citations per field
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Wei‐Zhong Ying · 1×
Citations per year

Countries citing papers authored by Toshie Saito

Since Specialization
Citations

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

Fields of papers citing papers by Toshie Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202321
2 20222
3 202132
4 202126
5 2018100
6 201518
7 2014120
8 201114
9 20111
10 200991
11 200937
12 200926
13 2008166
14 2008116
15 200857
16 20007
17
[A 63-year-old man with progressive cauda equina/conus medullaris syndrome].
19984
18 19972
19 199518
20
Renal histology in two adult patients with type I glycogen storage disease.
199319

About Toshie Saito

Toshie Saito is a scholar working on Biochemistry, Nephrology and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 969 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (6 papers), Renin-Angiotensin System Studies (5 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Blood Pressure and Hypertension Studies (3 papers), Hormonal Regulation and Hypertension (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Sodium Intake and Health (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Nephrology (152 citations), Cardiology and Cardiovascular Medicine (433 citations) and Endocrinology, Diabetes and Metabolism (265 citations). Toshie Saito has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Hiroyuki Kobori, Ryousuke Satou, Akemi Katsurada, Naro Ohashi, Kayoko Miyata, Maki Urushihara, Marlene Rabinovitch, L. Gabriel Navar, Shoji Kagami and Yumiko Kotani. Their work appears in journals such as Circulation Research, Clinical and Experimental Pharmacology and Physiology, Biological Psychiatry, Hypertension and The Journal of Experimental Medicine.

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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