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.
Membrane-Type 1 Matrix Metalloproteinase Cleaves Cd44 and Promotes Cell Migration
2001613 citationsMasahiro Kajita, Yoshifumi Itoh et al.profile →
The Membrane-Anchored MMP Inhibitor RECK Is a Key Regulator of Extracellular Matrix Integrity and Angiogenesis
2001567 citationsJunseo Oh, Rei Takahashi et al.Cellprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Yoshifumi Itoh
Since
Specialization
Citations
This map shows the geographic impact of Yoshifumi Itoh'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 Yoshifumi Itoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshifumi Itoh more than expected).
This network shows the impact of papers produced by Yoshifumi Itoh. 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 Yoshifumi Itoh. The network helps show where Yoshifumi Itoh may publish in the future.
Co-authorship network of co-authors of Yoshifumi Itoh
This figure shows the co-authorship network connecting the top 25 collaborators of Yoshifumi Itoh.
A scholar is included among the top collaborators of Yoshifumi Itoh 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 Yoshifumi Itoh. Yoshifumi Itoh is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Uji, Yukitaka, et al.. (2004). The use of color Doppler imaging in the differentiation of retinal detachment from vitreous membrane. Investigative Ophthalmology & Visual Science. 45(13). 2399–2399.1 indexed citations
12.
Mori, Hiroyuki, Naohiko Koshikawa, Masahiro Kajita, et al.. (2002). CD44 directs membrane-type 1 matrix metalloproteinase (MT1-MMP) to lamellipodia by associating with its hemopexin-like domain (PEX). Molecular Biology of the Cell. 13.2 indexed citations
13.
Oh, Junseo, Rei Takahashi, Shunya Kondo, et al.. (2001). The Membrane-Anchored MMP Inhibitor RECK Is a Key Regulator of Extracellular Matrix Integrity and Angiogenesis. Cell. 107(6). 789–800.567 indexed citations breakdown →
Sanno, N, K Inada, Hirotoshi Utsunomiya, et al.. (1994). Expression of Pit-1 product in human pituitaries: Histochemical studies using an antibody against synthetic human Pit-1 protein. Medical science research. 22(10). 685–687.12 indexed citations
17.
Maeda, Takuya, et al.. (1991). Decreased prolactin level in secretory granules and their increased exocytosis in estrogen-induced pituitary hyperplasia in rats treated with a dopamine agonist.. PubMed. 65(6). 679–87.5 indexed citations
18.
Itoh, Yoshifumi. (1989). Flow cytometric measurement of C3b receptors (CR1) on human erythrocytes. E-CR1 levels in patients with various diseases and their correlation with B-CR1. Allergy. 38. 1276–1287.
Itoh, Yoshifumi, Y. Morishita, & Kageaki AIBARA. (1980). Changes in UV spectra and relative intensity of fluorescence of aflatoxin B1 in aqueous alkaline solutions.. 54(9). 733–740.3 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.