Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A Novel Blood Pressure-independent Arterial Wall Stiffness Parameter; Cardio-Ankle Vascular Index (CAVI)
Countries citing papers authored by Kuniaki Otsuka
Since
Specialization
Citations
This map shows the geographic impact of Kuniaki Otsuka'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 Kuniaki Otsuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuniaki Otsuka more than expected).
This network shows the impact of papers produced by Kuniaki Otsuka. 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 Kuniaki Otsuka. The network helps show where Kuniaki Otsuka may publish in the future.
Co-authorship network of co-authors of Kuniaki Otsuka
This figure shows the co-authorship network connecting the top 25 collaborators of Kuniaki Otsuka.
A scholar is included among the top collaborators of Kuniaki Otsuka 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 Kuniaki Otsuka. Kuniaki Otsuka is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gubin, Denis, Dietmar Weinert, Oliver Stefani, et al.. (2025). Wearables in Chronomedicine and Interpretation of Circadian Health. Diagnostics. 15(3). 327–327.19 indexed citations breakdown →
Halberg, F, Germaine Cornélissen, Robert B. Sothern, et al.. (2008). Cycles Tipping the Scale between Death and Survival (="Life")(WHAT IS LIFE? THE NEXT 100 YEARS OF YUKAWA'S DREAM). Progress of Theoretical Physics Supplement. 153–181.1 indexed citations
12.
Cornélissen, Germaine, F Halberg, Carlo Rostagno, & Kuniaki Otsuka. (2007). A chronomic approach to cardiac arrhythmia and sudden cardiac death. 44(4). 251–254.10 indexed citations
13.
Halberg, F, George Katinas, Germaine Cornélissen, et al.. (2007). Strain tests : gauging variability in a day, week, year or decade. 44(4). 259–263.1 indexed citations
14.
Otsuka, Kuniaki, Germaine G Cornelissen-Guillaume, Osamu Matsuoka, et al.. (2003). Mapping of blood pressure and heart rate variability: A model for pediatricians. 24. 157–164.1 indexed citations
15.
Burioka, Naoto, Germaine G Cornelissen-Guillaume, Kuniaki Otsuka, Eiji Shimizu, & Franz Halberg. (2003). Linear and nonlinear indices of variability in respiratory movement, the electroencephalogram and the electrocardiogram. 24. 223–230.1 indexed citations
Otsuka, Kuniaki, et al.. (1985). New simple method for the analysis of sleep states employing the Holter monitoring system.. 22(3). 252–260.5 indexed citations
19.
Otsuka, Kuniaki, et al.. (1980). STUDIES OF ARRHYTHMIAS BY 24-HOUR POLYGRAPHIC RECORDING : CORRELATION BETWEEN ARRHYTHMIAS AND SLEEP STATES : Electrocardiography・Vectircarduigraphy I : PROCEEDINGS OF THE 44th ANNUAL SCIENTIFIC MEETING OF THE JAPANESE CIRCULATION SOCIETY. Japanese Circulation Journal-english Edition. 44(8). 586–587.3 indexed citations
20.
Otsuka, Kuniaki. (1979). A Case of Hypopituitarism with Angina Pectoris and Normal Coronary Arteriograms. 30(4). 188–197.1 indexed citations
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.