Yasuo Sakamoto

6.7k citations
179 papers · 5.0k indexed · 1 hit paper · h-index 39

Yasuo Sakamoto

167 papers receiving 4.9k citations

Hit Papers

Human Microbiome Fusobacterium Nucleatum in Esophageal Ca...3652016202620192022100200300

Peers

Yasuo Sakamoto
Comparison fields: 5 of 116
  • Geriatrics and Gerontology 344
  • Oncology 1.8k
  • Surgery 2.0k
  • Pulmonary and Respiratory Medicine 1.4k
  • Cancer Research 618
Replace Ryuma Tokunaga with:
Ryuma Tokunaga Japan
Yasuhiko Mohri Japan
Mototsugu Shimokawa Japan
Chikao Miki Japan
Andrew P. Zbar Israel
Kazuhiro Nishikawa Japan
Ronald M. van Dam Netherlands
Alan K. Foulis United Kingdom
Wilson J. Angerson United Kingdom
Dietmar Tamandl Austria
Yasuo Sakamoto relative to Ryuma Tokunaga Japan Ryuma Tokunaga's profile →
Citations per field
00.5×2.8×
Ryuma Tokunaga · 1×
Citations per year

Countries citing papers authored by Yasuo Sakamoto

Since Specialization
Citations

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

Fields of papers citing papers by Yasuo Sakamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Human Microbiome Fusobacterium Nucleatum in Esophageal Cancer Tissue Is Associated with Prognosisbreakdown →
2016365
2 20161
3 201529
4 2015280
5 20148
6 201455
7 201417
8 201352
9 201314
10 201310
11 20124
12 20102
13 20090
14
20070
15
20051
16 20023
17 200143
18 19983
19 199727
20 199490

About Yasuo Sakamoto

Yasuo Sakamoto is a scholar working on Hepatology, Oncology and Gastroenterology, having authored 179 papers that have together received 5.0k indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (36 papers), Gastric Cancer Management and Outcomes (32 papers), Epigenetics and DNA Methylation (23 papers), Colorectal Cancer Treatments and Studies (21 papers), Esophageal and GI Pathology (21 papers), Hepatocellular Carcinoma Treatment and Prognosis (19 papers), Pancreatic and Hepatic Oncology Research (16 papers) and Gastrointestinal Tumor Research and Treatment (13 papers). The work is most often cited by research in Geriatrics and Gerontology (344 citations), Oncology (1.8k citations) and Surgery (2.0k citations). Yasuo Sakamoto has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Naoya Yoshida, Masayuki Watanabe, Yuji Miyamoto, Yoshifumi Baba, Hideo Baba, Masaaki Iwatsuki, Ryuma Tokunaga, Takatsugu Ishimoto, Junji Kurashige and Shiro Iwagami. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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