Kay Maeda

448 total citations
20 papers, 312 citations indexed

About

Kay Maeda is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kay Maeda has authored 20 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kay Maeda's work include Cardiac Structural Anomalies and Repair (4 papers), Pulmonary Hypertension Research and Treatments (4 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Kay Maeda is often cited by papers focused on Cardiac Structural Anomalies and Repair (4 papers), Pulmonary Hypertension Research and Treatments (4 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Kay Maeda collaborates with scholars based in Japan, Canada and United States. Kay Maeda's co-authors include Kiyoshi Kurokawa, Toshio Miyata, C. van Ypersele de Strihou, Erik J. Suuronen, Ferdinando Giacco, Ross W. Milne, Brian McNeill, Branka Vulesevic, Michael Brownlee and Yoshikatsu Saiki and has published in prestigious journals such as Diabetes, Biochemical and Biophysical Research Communications and Journal of Neurochemistry.

In The Last Decade

Kay Maeda

19 papers receiving 309 citations

Peers

Kay Maeda
Comparison fields: 5 of 72
  • Clinical Biochemistry 110
  • Molecular Biology 93
  • Cardiology and Cardiovascular Medicine 72
  • Surgery 55
  • Pulmonary and Respiratory Medicine 53
Replace Akane Kizu with:
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Birgit Hausknecht Germany
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Akane Kizu Japan View profile →
Citations per field, relative to Kay Maeda
Kay Maeda · 1×
Citations per year, relative to Kay Maeda
Kay Maeda · 1×

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-authorship network of co-authors of Kay Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Kay Maeda. A scholar is included among the top collaborators of Kay Maeda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kay Maeda. Kay Maeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 1
4 3
5 7
6 2
7 40
8 4
9 4
10 8
11 2
12 7
13 101
14 5
15 16
16 17
17 14
18 75
19
[Study on renal osteodystrophy using 2-compartment model analysis of bone scintigraphy. 1. Clinical significance of K Index].
1
20
[Assessment of regional wall motion and myocardial flow in patients with dilated cardiomyopathy using Tl-201 SPECT during dobutamine infusion].
2

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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2026