Satoshi Kanada

592 citations
27 papers · 434 · h-index 14

Impact in

Papers in

Satoshi Kanada

26 papers receiving 417 citations

Peers

Satoshi Kanada
Comparison fields: 5 of 66
  • Automotive Engineering 64
  • Gastroenterology 23
  • Microbiology 3
  • Hepatology 21
  • Surgery 113
Replace Dandan Wu with:
Dandan Wu China
Chunfang Zhang China
Michele Fedecostante Netherlands
Yaping Wei China
Ch. Wieser Austria
Junya Furutani Japan
Chengqi Zhang China
Mingyang Wang China
Kosuke Chiba Japan
Satoshi Kanada relative to Dandan Wu China Dandan Wu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Satoshi Kanada

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Kanada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200449
2 202142
3 200039
4 202335
5 202330
6 200327
7 201524
8 200120
9 201719
10 202318
11 200317
12 200416
13 200415
14 200013
15 199913
16 202012
17 20019
18 20018
19 19997
20 20055

About Satoshi Kanada

Satoshi Kanada is a scholar working on Surgery, Electrical and Electronic Engineering, Automotive Engineering, Pulmonary and Respiratory Medicine and Oncology, having authored 27 papers that have together received 434 indexed citations. Recurring topics across this work include Advancements in Battery Materials (8 papers), Advanced Battery Technologies Research (7 papers), Advanced Battery Materials and Technologies (6 papers), Gastrointestinal motility and disorders (3 papers), Congenital gastrointestinal and neural anomalies (3 papers), Clinical Nutrition and Gastroenterology (3 papers), Intestinal and Peritoneal Adhesions (2 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Automotive Engineering (64 citations), Gastroenterology (23 citations), Microbiology (3 citations), Hepatology (21 citations) and Surgery (113 citations). Satoshi Kanada has collaborated with scholars based in Japan and United States. Frequent co-authors include Yusuke Morino, Minoru Yagi, Yasushi Iinuma, Satoru Yamazaki, Masayuki Kubota, Masanori Uchiyama, Yoshiaki Kinoshita, Makoto Iwafuchi, Masao Yagi and Taira Aida. Their work appears in journals such as Journal of Pediatric Surgery, Pediatric Surgery International, Journal of Power Sources, ACS Applied Materials & Interfaces and Journal of Smooth Muscle Research.

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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