Hiroshi Sato

956 citations
15 papers · 828 · h-index 13

Impact in

Papers in

    • Viral-associated cancers and disorders 4
    • Peptidase Inhibition and Analysis 2
    • Protease and Inhibitor Mechanisms 5

Hiroshi Sato

15 papers receiving 814 citations

Peers

Hiroshi Sato
Comparison fields: 5 of 68
  • Cancer Research 379
  • Immunology and Allergy 113
  • Oncology 444
  • Hematology 119
  • Otorhinolaryngology 19
Replace M. Eber with:
M. Eber France
Taketoshi Shimada Japan
L. G. Bobrow United Kingdom
Arthur Kwok Leung Cheung Hong Kong
G N van Muijen Netherlands
Hyung‐Gyoon Kim United States
H Sakamoto Japan
Fritz Lindemann Germany
J C Pena United States
K Danø Denmark
Hiroshi Sato relative to M. Eber France M. Eber's profile →
Citations per field
00.5×
M. Eber · 1×
Citations per year

Countries citing papers authored by Hiroshi Sato

Since Specialization
Citations

This map shows the geographic impact of Hiroshi Sato'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 Hiroshi Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Sato more than expected).

Fields of papers citing papers by Hiroshi Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hiroshi Sato. 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 Hiroshi Sato. The network helps show where Hiroshi Sato may publish in the future.

Co-authors

The 25 scholars most cited alongside Hiroshi Sato, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hiroshi Sato Line = papers co-authored together Hiroshi Sato links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1997102
2
Processing of a precursor of 72-kilodalton type IV collagenase/gelatinase A by a recombinant membrane-type 1 matrix metalloproteinase.
199698
3 199797
4
Induction of interleukin-8 by Epstein-Barr virus latent membrane protein-1 and its correlation to angiogenesis in nasopharyngeal carcinoma.
200193
5 200090
6 200176
7
Induction of M(r) 92,000 type IV collagenase expression in a squamous cell carcinoma cell line by fibroblasts.
199568
8 200065
9 199138
10 199936
11 200033
12 199117
13 199213
14 20241
15 19871

About Hiroshi Sato

Hiroshi Sato is a scholar working on Oncology, Cancer Research, Molecular Biology, Epidemiology and Genetics, having authored 15 papers that have together received 828 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (5 papers), Viral-associated cancers and disorders (4 papers), Peptidase Inhibition and Analysis (2 papers), Cell Adhesion Molecules Research (2 papers), Virus-based gene therapy research (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Head and Neck Cancer Studies (1 paper) and Heparin-Induced Thrombocytopenia and Thrombosis (1 paper). The work is most often cited by research in Cancer Research (379 citations), Immunology and Allergy (113 citations), Oncology (444 citations), Hematology (119 citations) and Otorhinolaryngology (19 citations). Hiroshi Sato has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Motoharu Seiki, Mitsuru Furukawa, Tomokazu Yoshizaki, Shigeyuki Murono, Toshiyuki Horikawa, Bruce P. Himelstein, Edward J. Lee, Yasunori Okada, Noboru Fujimoto and Takahisa Takino. Their work appears in journals such as Oncogene, Virology, Laboratory Investigation, Journal of neurosurgery and Clinical & Experimental Metastasis.

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.

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