Naoto Sakamoto

4.3k citations
135 papers · 2.5k indexed · 1 hit paper · h-index 24
Topics
Gastric Cancer Management and Outcomes (50 papers)Gastrointestinal Tumor Research and Treatment (26 papers)Metastasis and carcinoma case studies (26 papers)
Journals
Journal of Biological ChemistryThe Journal of Chemical PhysicsSHILAP Revista de lepidopterología

In The Last Decade

Naoto Sakamoto

129 papers receiving 2.4k citations

Hit Papers

A prospective, multicenter study of 1111 colorectal endos...20102026201520202010100200300400500

Peers

Naoto Sakamoto
Comparison fields: 5 of 137
  • Pulmonary and Respiratory Medicine 1.4k
  • Surgery 887
  • Gastroenterology 765
  • Oncology 661
  • Molecular Biology 311
Replace Masayuki Kato with:
Masayuki Kato Japan
Mārcis Leja Latvia
Gérard Thiéfin France
Hiroshi Tamura Japan
Laura H. Goetz United States
Ke Shi China
Shu‐Chu Shiesh Taiwan
H.L. Sharma United Kingdom
Masayuki Tanaka Japan
Takaaki Nakamura Japan
Naoto Sakamoto relative to Masayuki Kato Japan Masayuki Kato's profile →
Citations per field
00.5×3.4×
Masayuki Kato · 1×
Citations per year

Countries citing papers authored by Naoto Sakamoto

Since Specialization
Citations

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

Fields of papers citing papers by Naoto Sakamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoto Sakamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Naoto Sakamoto. A scholar is included among the top collaborators of Naoto Sakamoto 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 Naoto Sakamoto. Naoto Sakamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2 9
3 7
4 28
5 16
6 1
7 2
8 15
9 24
10 12
11 49
12 1
13 4
14 35
15 5
16 6
17 1
18 12
19
Recognition of Spatiotemporal Patterns Using a Nonmonotone Neural Network with Hidden Neurons
2
20 7

About Naoto Sakamoto

Naoto Sakamoto is a scholar working on Gastroenterology, Pulmonary and Respiratory Medicine and Oncology, having authored 135 papers that have together received 2.5k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (50 papers), Gastrointestinal Tumor Research and Treatment (26 papers) and Metastasis and carcinoma case studies (26 papers). The work is most often cited by research in Gastroenterology (765 citations), Pulmonary and Respiratory Medicine (1.4k citations) and Oncology (661 citations). Naoto Sakamoto has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Akihito Nagahara, Taro Osada, Tomoyoshi Shibuya, Tatsuo Ogihara, Sumio Watanabe, Kazuko Beppu, Takashi Murakami, Kenshi Matsumoto, Nozomu Kobayashi and Yutaka Saito. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Chemical Physics 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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