Teppei Kamada

529 citations
55 papers · 339 · h-index 11

Impact in

Papers in

Teppei Kamada

45 papers receiving 322 citations

Peers

Teppei Kamada
Comparison fields: 5 of 55
  • Critical Care and Intensive Care Medicine 29
  • Surgery 115
  • Gastroenterology 12
  • Geriatrics and Gerontology 7
  • Pulmonary and Respiratory Medicine 63
Replace Arman Arghami with:
Arman Arghami United States
Carla Bettónica Spain
Junko Ichikawa Japan
Ioannis Tentzeris Austria
Kwang Jin Chun South Korea
Danielle La Selva United States
Max Troxler United Kingdom
Yunus Nazlı Türkiye
Jean‐Guillaume Dillinger France
F. Dapper Germany
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Citations per field
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Citations per year

Countries citing papers authored by Teppei Kamada

Since Specialization
Citations

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

Fields of papers citing papers by Teppei Kamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gastrointestinal bleeding following head injury: a clinical study of 433 cases.
197781
2
Coronary atherosclerosis reduced in patients with familial hypercholesterolemia after intensive cholesterol lowering with low-density lipoprotein-apheresis: 1-year follow-up study. The Osaka LDL-Apheresis Multicenter Trial Group.
199423
3 202022
4 202019
5 202318
6 202314
7 202413
8 202212
9 202410
10 202010
11 201910
12 20219
13 20208
14 20218
15 20207
16 20205
17 20225
18 20235
19 20204
20 20234

About Teppei Kamada

Teppei Kamada is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Physiology and Pediatrics, Perinatology and Child Health, having authored 55 papers that have together received 339 indexed citations. Recurring topics across this work include Stoma care and complications (6 papers), Nutrition and Health in Aging (6 papers), Esophageal and GI Pathology (5 papers), Colorectal Cancer Surgical Treatments (4 papers), Gastric Cancer Management and Outcomes (4 papers), Hernia repair and management (3 papers), Pediatric Pain Management Techniques (3 papers) and Colorectal Cancer Screening and Detection (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (29 citations), Surgery (115 citations), Gastroenterology (12 citations), Geriatrics and Gerontology (7 citations) and Pulmonary and Respiratory Medicine (63 citations). Teppei Kamada has collaborated with scholars based in Japan. Frequent co-authors include Hironori Ohdaira, Yutaka Suzuki, Masashi Yoshida, Hideyuki Fusamoto, Norihiko Suzuki, M. Noguchi, K Hiramatsu, Seiji Kawano, Keigo Nakashima and Hideyuki Takeuchi. Their work appears in journals such as Annals of Gastroenterological Surgery, Scientific Reports, World Journal of Surgery, BMC Gastroenterology and PLoS ONE.

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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