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.
Positionally Cloned Gene for a Novel Glomerular Protein—Nephrin—Is Mutated in Congenital Nephrotic Syndrome
This map shows the geographic impact of Takako Morita'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 Takako Morita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takako Morita more than expected).
This network shows the impact of papers produced by Takako Morita. 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 Takako Morita. The network helps show where Takako Morita may publish in the future.
Co-authorship network of co-authors of Takako Morita
This figure shows the co-authorship network connecting the top 25 collaborators of Takako Morita.
A scholar is included among the top collaborators of Takako Morita 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 Takako Morita. Takako Morita is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Takahashi, Tetsuya, Chisako Muramatsu, Takako Morita, et al.. (2016). Similar image search of breast masses by combination of mammograms and ultrasound images -- Study of psychophysical similarity measure based on multi-dimensional scaling. IEICE Technical Report; IEICE Tech. Rep.. 115(401). 161–164.1 indexed citations
Morita, Takako, et al.. (2009). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 18(2). 169–175.
12.
Sakurai, Masaru, Mamoru Fukuda, Keiko Imamura, et al.. (2008). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 17(1). 52–59.1 indexed citations
13.
Nakashima, Kazutaka, et al.. (2007). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 16(2). 179–189.1 indexed citations
14.
Takada, Etsuo, et al.. (2006). Fully automatic detection system for breast masses on ultrasound images. International Journal of Computer Assisted Radiology and Surgery. 1. 519.3 indexed citations
15.
Morita, Takako. (2004). Marine Sea Turtles and Shrimp Trawling: Interplay Between the U.S. Courts and the WTO Panels and Its Effect on the World Shrimp Industry. 10(2). 209.1 indexed citations
Morita, Takako, et al.. (2001). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 10(2). 195–200.1 indexed citations
Morita, Takako, et al.. (1985). Polypoid change of the glomerular basement membrane in patients with congenital heart disease.. PubMed. 24(5). 228–31.3 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.