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.
Pathology of Human Coronary and Carotid Artery Atherosclerosis and Vascular Calcification in Diabetes Mellitus
2016370 citationsKazuyuki Yahagi, Frank D. Kolodgie et al.profile →
Neoatherosclerosis: overview of histopathologic findings and implications for intravascular imaging assessment
2015327 citationsRobert A. Byrne, Kazuyuki Yahagi et al.profile →
Coronary Artery Calcification and its Progression
2018315 citationsHiroyoshi Mori, Sho Torii et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Hiroyoshi Mori
Since
Specialization
Citations
This map shows the geographic impact of Hiroyoshi Mori'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 Hiroyoshi Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroyoshi Mori more than expected).
This network shows the impact of papers produced by Hiroyoshi Mori. 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 Hiroyoshi Mori. The network helps show where Hiroyoshi Mori may publish in the future.
Co-authorship network of co-authors of Hiroyoshi Mori
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroyoshi Mori.
A scholar is included among the top collaborators of Hiroyoshi Mori 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 Hiroyoshi Mori. Hiroyoshi Mori is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Nagaya, N, T. Horio, Kunio Miyatake, et al.. (2004). Cell therapy for pulmonary hypertension: What is the true potential of endothelial progenitor cells? Response. Circulation. 109(12).2 indexed citations
13.
Íuchi, Arata, Takashi Oki, Satoru Ogawa, et al.. (1990). -1002-EVALUATION OF PULMONARY VENOUS FLOW PATTERN IN PATIENTS WITH MITRAL VALVE DISEASE : A STUDY WITH TRANSESOPHAGEAL PULSED DOPPLER ECHOCARDIOGRAPHY : THE 54th ANNUAL SCIENTIFIC MEETING OF THE JAPANESE CIRCULATION SOCIETY. Japanese Circulation Journal-english Edition. 54(8). 1002–1003.1 indexed citations
14.
Ogawa, Satoshi, et al.. (1990). Analysis of flow velocity patterns in the superior vena cava and the pulmonary vein in cases of hypertrophic cardiomyopathy. 17(3). 223–232.5 indexed citations
15.
Murakami, Masaru, Masaki Sumi, Nobuko Shimizu, et al.. (1985). STUDIES ON T WAVES OF MAGNETOCARDIOGRAM IN ANGINA PECTORIS : Electrocardiography (III) : FREE COMMUNICATIONS (IV) : PROCEEDINGS OF THE 49th ANNUAL SCIENTIFIC MEETING OF THE JAPANESE CIRCULATION SOCIETY. Japanese Circulation Journal-english Edition. 49(8). 857–858.2 indexed citations
Ito, Susumu, et al.. (1975). Clinical application of the determination of serum guanase activities in acute myocardial infarction.. 7(13). 1487–1492.1 indexed citations
20.
Mori, Hiroyoshi, et al.. (1961). Pathological Correlation of ΣLVP-New Electorocardiographic Criteria for the Diagnosis of Left Ventricular Hypertrophy. Japanese Circulation Journal-english Edition. 25(9). 868–869.2 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.