Takeyasu Suda

1.1k citations
39 papers · 832 · h-index 14

Impact in

Papers in

Takeyasu Suda

31 papers receiving 804 citations

Peers

Takeyasu Suda
Comparison fields: 5 of 79
  • Hepatology 175
  • Gastroenterology 69
  • Oncology 305
  • Surgery 368
  • Pulmonary and Respiratory Medicine 216
Replace K Hatakeyama with:
K Hatakeyama Japan
S A Jenkins United Kingdom
Karen E. Todd United States
Lawrence Yuen Australia
Onye E. Akwari United States
Rin Chang South Korea
Kaoru Kumada Japan
Babak Banan United States
Kiyonori Furukawa Japan
Satoshi Miuma Japan
Takeyasu Suda relative to K Hatakeyama Japan K Hatakeyama's profile →
Citations per field
00.5×
K Hatakeyama · 1×
Citations per year

Countries citing papers authored by Takeyasu Suda

Since Specialization
Citations

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

Fields of papers citing papers by Takeyasu Suda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996211
2 2001131
3 200169
4 200268
5 200763
6 200359
7 200232
8 200528
9 200725
10 200121
11 200020
12
Dietary fat and meat intake and idiopathic pulmonary fibrosis: a case-control study in Japan.
200619
13 200114
14
Major hepatic resection reduces the probability of intrahepatic recurrences following resection of colorectal carcinoma liver metastases.
200313
15 200312
16
A single-stage operation for abdominal aortic aneurysm with concomitant colorectal carcinoma.
200511
17 20035
18 20114
19 19924
20 19993

About Takeyasu Suda

Takeyasu Suda is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Pathology and Forensic Medicine and Gastroenterology, having authored 39 papers that have together received 832 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (9 papers), Colorectal Cancer Treatments and Studies (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Genetic factors in colorectal cancer (5 papers), Gastrointestinal Tumor Research and Treatment (5 papers), Colorectal and Anal Carcinomas (5 papers), Diverticular Disease and Complications (4 papers) and Colorectal Cancer Surgical Treatments (4 papers). The work is most often cited by research in Hepatology (175 citations), Gastroenterology (69 citations), Oncology (305 citations), Surgery (368 citations) and Pulmonary and Respiratory Medicine (216 citations). Takeyasu Suda has collaborated with scholars based in Japan. Frequent co-authors include Katsuyoshi Hatakeyama, Yoshio Shirai, Shigenori Nagakura, Naoyuki Yokoyama, Tatsuo Kanda, K Hatakeyama, H Fujii, Tadaaki Tani, Tamao Ono and Hiroshi Murakami. Their work appears in journals such as Cancer, Surgery Today, Journal of Surgical Oncology, Gastrointestinal Endoscopy and Diseases of the Colon & Rectum.

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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