Kay Maeda

448 citations
20 papers · 312 · h-index 8

Impact in

    • Advanced Glycation End Products research
    • Dialysis and Renal Disease Management
    • Chronic Kidney Disease and Diabetes

Papers in

Kay Maeda

19 papers receiving 309 citations

Peers

Kay Maeda
Comparison fields: 5 of 72
  • Clinical Biochemistry 110
  • Nephrology 38
  • Genetics 35
  • Cardiology and Cardiovascular Medicine 72
  • Internal Medicine 10
Replace Kassie Jaworski with:
Kassie Jaworski Australia
Todd Grand United States
H. H. P. J. Lemkes Netherlands
Akane Kizu Japan
Ivana Pela Italy
Sinan Kahraman Türkiye
Kojiro Ichikawa Japan
Sho Ishizawa Japan
Jieming Mao China
Nobuo Kotajima Japan
Kay Maeda relative to Kassie Jaworski Australia Kassie Jaworski's profile →
Citations per field
00.5×3.3×
Kassie Jaworski · 1×
Citations per year

Countries citing papers authored by Kay Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Kay Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2016101
2 199775
3 201840
4 200817
5 201316
6 200814
7 20178
8 20207
9 20177
10 20155
11 20174
12 20184
13 20213
14 20213
15 20182
16 20172
17
[Assessment of regional wall motion and myocardial flow in patients with dilated cardiomyopathy using Tl-201 SPECT during dobutamine infusion].
19872
18 20211
19
[Study on renal osteodystrophy using 2-compartment model analysis of bone scintigraphy. 1. Clinical significance of K Index].
19891
20 20230

About Kay Maeda

Kay Maeda is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics, having authored 20 papers that have together received 312 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (4 papers), Cardiac Structural Anomalies and Repair (4 papers), Mast cells and histamine (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Advanced Glycation End Products research (2 papers), Receptor Mechanisms and Signaling (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Clinical Biochemistry (110 citations), Nephrology (38 citations), Genetics (35 citations), Cardiology and Cardiovascular Medicine (72 citations) and Internal Medicine (10 citations). Kay Maeda has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Kiyoshi Kurokawa, C. van Ypersele de Strihou, Toshio Miyata, Erik J. Suuronen, Brian McNeill, Michael Brownlee, Ferdinando Giacco, Ross W. Milne, Branka Vulesevic and Yoshikatsu Saiki. Their work appears in journals such as Circulation Journal, Current Opinion in Cardiology, Diabetes, Journal of Artificial Organs and Journal of Cardiovascular Development and Disease.

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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