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.
Indices of relative weight and obesity
19721.5k citationsAncel Keys, Flaminio Fidanza et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Noboru Kimura'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 Noboru Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noboru Kimura more than expected).
This network shows the impact of papers produced by Noboru Kimura. 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 Noboru Kimura. The network helps show where Noboru Kimura may publish in the future.
Co-authorship network of co-authors of Noboru Kimura
This figure shows the co-authorship network connecting the top 25 collaborators of Noboru Kimura.
A scholar is included among the top collaborators of Noboru Kimura 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 Noboru Kimura. Noboru Kimura is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Keys, Ancel, F Fidanza, M. J. Karvonen, Noboru Kimura, & Henry L. Taylor. (2014). Indices of relative weight and obesity. International Journal of Epidemiology. 43(3). 655–665.225 indexed citations
3.
Fidanza, Flaminio, et al.. (2006). Role of Dietary Fat in Human Nutrition.2 indexed citations
Watanabe, Aya, et al.. (1991). [Accuracy and clinical problems involved in the measurements of extravascular lung water, using the thermal-sodium double indicator dilution technique].. PubMed. 39(1). 63–6.1 indexed citations
6.
Yokota, Yukio, et al.. (1978). Effect of low protein diet on cardiac function and ultrastructure of spontaneously hypertensive rats loaded with sodium chloride.. PubMed. 12. 157–62.10 indexed citations
7.
Kimura, Noboru, et al.. (1976). NATURAL HISTORY OF HEART DISEASE FROM EPIDEMIOLOGICAL INVESTION : IInd Auditorium : PROCEEDINGS OF THE 40TH ANNUAL MEETING OF THE JAPANESE CIRCULATION SOCIETY. Japanese Circulation Journal-english Edition. 40(5). 481–482.1 indexed citations
Kimura, Noboru, et al.. (1973). THE STUDIES OF CHOLESTEROL METABOLISM : THE EFFECTS OF IODINES AND T3-ANALOGUE ON SERUM CHOLESTEROL AND THYROID FUNCTION : (Part II). Japanese Circulation Journal-english Edition. 37(8). 888–889.
10.
Kimura, Noboru, et al.. (1972). Population survey on cerebrovascular and cardiovascular diseases. The ten years experience in the farming village of Tanushimaru and the fishing village of Ushibuka.. PubMed. 13(2). 118–27.17 indexed citations
Keys, Ancel & Noboru Kimura. (1970). Diets of Middle-Aged Farmers in Japan. American Journal of Clinical Nutrition. 23(2). 212–223.23 indexed citations
13.
Kimura, Noboru, et al.. (1969). APPLICATION OF DYE-DILUTION METHOD FOR CARDIOLOGY (Report III) ELECTROCARDIOGRAPHY AND CARDIAC OUTPUT AFTER EXERCISE IN PATIENTS WITH ISCHEMIC HEART DISEASE. Japanese Circulation Journal-english Edition. 33(8). 866.7 indexed citations
14.
Kimura, Noboru, et al.. (1967). A Familial Cardiomegaly with Idiopathic Hypertrophic Subaortic Stenosis. Japanese Circulation Journal-english Edition. 31(1). 100–101.
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.