Chu Matsuda

3.3k citations
167 papers · 2.2k · h-index 25

Impact in

  • Oncology top 5%
    • Colorectal Cancer Surgical Treatments
    • Colorectal Cancer Treatments and Studies
    • Cancer-related molecular mechanisms research

Papers in

    • Colorectal Cancer Surgical Treatments 46
    • Colorectal Cancer Treatments and Studies 37
    • Cancer Treatment and Pharmacology 10
    • Colorectal and Anal Carcinomas 25

Chu Matsuda

153 papers receiving 2.2k citations

Peers

Chu Matsuda
Comparison fields: 5 of 103
  • Oncology 927
  • Cancer Research 418
  • Geriatrics and Gerontology 69
  • Surgery 668
  • Gastroenterology 72
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Chu Matsuda relative to Daisuke Izumi Japan Daisuke Izumi's profile →
Citations per field
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Daisuke Izumi · 1×
Citations per year

Countries citing papers authored by Chu Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Chu Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017191
2 201995
3 200783
4 201881
5 202081
6 201665
7 201562
8 201853
9 201951
10 201850
11 201745
12 202043
13 202040
14 200740
15 200536
16 201835
17 201833
18 201632
19 202232
20 201830

About Chu Matsuda

Chu Matsuda is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Molecular Biology and Epidemiology, having authored 167 papers that have together received 2.2k indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (46 papers), Colorectal Cancer Treatments and Studies (37 papers), Gastric Cancer Management and Outcomes (31 papers), Colorectal and Anal Carcinomas (25 papers), Genetic factors in colorectal cancer (12 papers), Inflammatory Bowel Disease (12 papers), Cancer Treatment and Pharmacology (10 papers) and Cardiac, Anesthesia and Surgical Outcomes (9 papers). The work is most often cited by research in Oncology (927 citations), Cancer Research (418 citations), Geriatrics and Gerontology (69 citations), Surgery (668 citations) and Gastroenterology (72 citations). Chu Matsuda has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Tsunekazu Mizushima, Yuichiro� Doki, Hidekazu Takahashi, Taishi Hata, Masaki Mori, Naotsugu Haraguchi, Norikatsu Miyoshi, Hirofumi Yamamoto, Junichi Nishimura and Mamoru Uemura. Their work appears in journals such as Surgery Today, Annals of Gastroenterological Surgery, Annals of Surgical Oncology, Journal of Clinical Oncology and Scientific Reports.

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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