C. Ito

509 citations
13 papers · 431 · h-index 9

Impact in

  • Nephrology top 5%
    • Dialysis and Renal Disease Management
    • Parathyroid Disorders and Treatments
    • Erythropoietin and Anemia Treatment

Papers in

C. Ito

13 papers receiving 424 citations

Peers

C. Ito
Comparison fields: 5 of 69
  • Nephrology 162
  • Hematology 45
  • Endocrinology, Diabetes and Metabolism 66
  • Endocrine and Autonomic Systems 26
  • Clinical Biochemistry 25
Replace A Owada with:
A Owada Japan
Małgorzata Kasztan United States
Naoki Haruyama Japan
Jana Petersen Germany
Yuhong Wang China
Corry D. Bondi United States
Mutsumi Murakami Japan
Steven Shikhel United States
Yushi Nakayama Japan
Yuichi Komaba Japan
C. Ito relative to A Owada Japan A Owada's profile →
Citations per field
00.5×10×13×
A Owada · 1×
Citations per year

Countries citing papers authored by C. Ito

Since Specialization
Citations

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

Fields of papers citing papers by C. Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2006209
2 200250
3 199044
4 200038
5 200120
6 198819
7 198815
8 200913
9 20118
10 20246
11 20134
12
Difference of myosin heavy chain expression between mesangial cells and vascular smooth muscles.
19953
13
[Comparison of plasma exchange (PEX) vs. double filtration plasmapheresis (DFPP) with or without steroid administration in a case of MPO-ANCA-positive immune complex type crescentic glomerulonephritis].
20002

About C. Ito

C. Ito is a scholar working on Pulmonary and Respiratory Medicine, Nephrology, Molecular Biology, Genetics and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 431 indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Vasculitis and related conditions (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), Erythropoietin and Anemia Treatment (2 papers), Renal Diseases and Glomerulopathies (2 papers), Regulation of Appetite and Obesity (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Nephrology (162 citations), Hematology (45 citations), Endocrinology, Diabetes and Metabolism (66 citations), Endocrine and Autonomic Systems (26 citations) and Clinical Biochemistry (25 citations). C. Ito has collaborated with scholars based in Japan, Sweden and United Kingdom. Frequent co-authors include Eiji Kusano, Yoshihide Asano, Tetsu Akimoto, Akio Fujimura, Takashi Ioka, Shuichi Tsuruoka, Hitoshi Ando, Hironori Yamamoto, Norio Akaike and Makoto Kaneda. Their work appears in journals such as Journal of Hypertension, Journal of Neurophysiology, Kidney International Reports, Kidney International and Clinical Pharmacology & Therapeutics.

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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