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.
Epidemiologic Survey of Japanese Patients with Idiopathic Pulmonary Fibrosis and Investigation of Ethnic Differences
This map shows the geographic impact of Mitsuru 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 Mitsuru Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuru Mori more than expected).
This network shows the impact of papers produced by Mitsuru 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 Mitsuru Mori. The network helps show where Mitsuru Mori may publish in the future.
Co-authorship network of co-authors of Mitsuru Mori
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuru Mori.
A scholar is included among the top collaborators of Mitsuru 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 Mitsuru Mori. Mitsuru Mori is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Yoshikawa, Yoko, et al.. (2013). [Assessing weight and other factors associated with the urinary incontinence of elderly women: a cross-sectional study].. PubMed. 60(2). 79–86.1 indexed citations
5.
Mori, Mitsuru, et al.. (2012). The relationship between number of natural teeth and oral health behavior in adult Japanese people. 61(4). 366–373.7 indexed citations
6.
Tsukishima, Eri, et al.. (2012). [Differences in factors associated with health checkup participation between persons with differing income levels. A cross-sectional analysis using residential taxation as a measure of household income].. PubMed. 59(11). 810–21.4 indexed citations
Hirayama, Fumi, et al.. (2010). Dietary intake of six minerals in relation to the risk of chronic obstructive pulmonary disease.. PubMed. 19(4). 572–7.30 indexed citations
Washio, Masakazu, Hiromasa Inoue, Chikako Kiyohara, et al.. (2003). Depression among Caregivers of Patients with Chronic Obstructive Pulmonary Disease. 10(4). 255–259.7 indexed citations
16.
Washio, Masakazu, Naohide Inoue, Yumiko Arai, Shoji Tokunaga, & Mitsuru Mori. (2002). Depression among caregivers of patients with Parkinson disease. 9(4). 265–269.1 indexed citations
17.
Washio, Masakazu, et al.. (2002). Long-term care insurance for elderly and depression among caregivers of the frail elderly in urban Japan: A follow-up study. 9(4). 251–255.1 indexed citations
18.
Mori, Mitsuru, Haruo Nishimura, & Katsuhiro Fukuda. (1992). Association of Tubal Sterilization and Induced Abortion with Ovarian Cancer:Meta-analysis of Published Case-control Studies. Journal of Epidemiology. 2(2). 111–118.1 indexed citations
19.
Asamoto, M., et al.. (1989). Immunohistochemical evaluation of nonspecific cross reactive antigen and carcinoembryonic antigen (CEA) in urinary bladder carcinoma.. PubMed. 9(2). 319–26.2 indexed citations
20.
Mori, Mitsuru, et al.. (1978). [Animals used as models in dentistry: ODU rats as a model for the study of periodontal diseases].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 27(2). 200–2.1 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.