E Sato

12 papers receiving 677 citations

Peers

E Sato
Comparison fields: 5 of 70
  • Oncology 393
  • Pathology and Forensic Medicine 175
  • Immunology 95
  • Cancer Research 49
  • Surgery 133
Replace Michele Quaia with:
Michele Quaia Italy
Jaspreet Singh Grewal United States
Brandon G. Smaglo United States
Gary Li United States
Anna Korycka Poland
Antonio Capaldi Italy
Sangeetha M. Reddy United States
P. Rudolph Germany
Joe Yeong Singapore
DG Poplack United States
E Sato relative to Michele Quaia Italy Michele Quaia's profile →
Citations per field
00.5×1.5×
Michele Quaia · 1×
Citations per year

Countries citing papers authored by E Sato

Since Specialization
Citations

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

Fields of papers citing papers by E Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E 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 E Sato Line = papers co-authored together E Sato links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1994379
2
Expression of MUC1 and MUC2 mucins in gastric carcinomas: its relationship with the prognosis of the patients.
1998171
3 200286
4 201817
5 199410
6 201210
7
Pathoepidemiological features of adult T-cell lymphoma/leukemia in an endemic area: Kagoshima, Japan.
19909
8 19925
9 20252
10
Growth morphology of reed canarygrass (Phalaris arundinacea L.) tillers under sward conditions.
19902
11
[Nuclear DNA fluorocytophotometric analysis of leukemic cells in adult T-cell leukemia/lymphomas (ATLL)].
19861
12
Immunohistochemical estimation of in-situ cell cycle time in neoplastic epithelial cells in human large intestine: a new cell proliferation index.
20001

About E Sato

E Sato is a scholar working on Immunology, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Nature and Landscape Conservation, having authored 12 papers that have together received 693 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (3 papers), Glycosylation and Glycoproteins Research (2 papers), Metal and Thin Film Mechanics (1 paper), Molecular spectroscopy and chirality (1 paper), GaN-based semiconductor devices and materials (1 paper), Vasculitis and related conditions (1 paper), Bee Products Chemical Analysis (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Oncology (393 citations), Pathology and Forensic Medicine (175 citations), Immunology (95 citations), Cancer Research (49 citations) and Surgery (133 citations). E Sato has collaborated with scholars based in Japan, Brazil and United States. Frequent co-authors include Makoto Sugiura, Yusuke Uemura, Norio Yamamoto, Shinya Tanaka, S Imai, Mayumi Tokunaga, Toyoro Õsato, Shigeki Koizumi, Shingo Yonezawa and Tatsuro Irimura. Their work appears in journals such as Applied Physics Letters, Journal of Internal Medicine, Biomedical Optics Express, Journal of Physics Condensed Matter and Proceedings of the National Academy of Sciences.

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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