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.
Type C virus particles in a cord T-cell line derived by co-cultivating normal human cord leukocytes and human leukaemic T cells
19811.2k citationsIsao Miyoshi, Ichiro Kubonishi et al.profile →
Citations per year, relative to S Yoshimoto S Yoshimoto (= 1×)
peers
E DeFreitas
Countries citing papers authored by S Yoshimoto
Since
Specialization
Citations
This map shows the geographic impact of S Yoshimoto'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 S Yoshimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Yoshimoto more than expected).
This network shows the impact of papers produced by S Yoshimoto. 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 S Yoshimoto. The network helps show where S Yoshimoto may publish in the future.
Co-authorship network of co-authors of S Yoshimoto
This figure shows the co-authorship network connecting the top 25 collaborators of S Yoshimoto.
A scholar is included among the top collaborators of S Yoshimoto 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 S Yoshimoto. S Yoshimoto is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Yoshimoto, S, et al.. (1992). [Post-gastrectomized vitamin B12 deficient anemia with marked leukoerythroblastosis and ringed sideroblasts].. PubMed. 33(5). 688–93.
7.
Yoshimoto, S, et al.. (1992). [Secondary sideroblastic anemia caused by long term administration of anti-tuberculous agents including isoniazid].. PubMed. 33(7). 986–90.4 indexed citations
8.
Kawahara, Satoshi, et al.. (1991). [In vitro activities of newly developed quinolones, fleroxacin, lomefloxacin and sparfloxacin against Mycobacterium tuberculosis].. PubMed. 66(6). 429–31.1 indexed citations
9.
Yamato, Kenji, Hirokuni Taguchi, S Yoshimoto, et al.. (1986). Inactivation of lymphocyte-transforming activity of human T-cell leukemia virus type I by heat.. PubMed. 77(1). 13–5.26 indexed citations
Niiya, K, Masatoshi Fujishita, Niro Okimoto, et al.. (1984). [Clinical studies on the deficiency of vitamin K-dependent coagulation factors in adult patients].. PubMed. 25(1). 37–44.1 indexed citations
12.
Miyoshi, I, Hiroko Taguchi, K Niiya, et al.. (1983). [Establishment and characterization of ATLV-producing cell lines].. PubMed. 10(2 Pt 2). 669–73.1 indexed citations
13.
Shiraishi, Yukimasa, S Yoshimoto, Isao Miyoshi, et al.. (1983). Dimorphism of sister chromatid exchange in Bloom's syndrome B- and T-cell lines transformed with Epstein-Barr and adult T-cell leukemia viruses.. PubMed. 43(8). 3836–40.20 indexed citations
14.
Miyoshi, Isao, S Yoshimoto, Hirokuni Taguchi, et al.. (1983). Transformation of rabbit lymphocytes with T-cell leukemia virus.. PubMed. 74(1). 1–4.42 indexed citations
Ohnishi, Ryoko, et al.. (1981). [Clinical evaluation of lymphoscintigraphy using 99mTc-rhenium colloid--a comparison with lymphography (author's transl)].. PubMed. 30(7). 397–400.2 indexed citations
19.
Miyoshi, I, Kei Hamazaki, Ichiro Kubonishi, et al.. (1981). A variant translocation (8;22) in a Japanese patient with Burkitt lymphoma.. PubMed. 72(1). 176–7.5 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.