Koichi Doi

45 papers receiving 626 citations

Peers

Koichi Doi
Comparison fields: 5 of 79
  • Catalysis 54
  • Energy Engineering and Power Technology 21
  • Cell Biology 96
  • Molecular Biology 256
  • Surgery 149
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Seung Hee Kang South Korea
Lingjuan Chen China
Takeo Suzuki Japan
Kazuo Nomura Japan
Lihui Peng China
Xiao Bing Liu China
Guancheng Li China
Zhenwei Lu United States
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Bingyu Zhang China
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Citations per field
00.5×9.6×
Seung Hee Kang · 1×
Citations per year

Countries citing papers authored by Koichi Doi

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994213
2 1999114
3 200197
4 201256
5 201033
6 199614
7 201710
8 20188
9 20108
10 19928
11 20186
12 19935
13 20205
14
[A promising new treatment strategy for advanced hepatocellular carcinoma--"multi-ablation therapy" consisting of radio-frequency ablation (RFA), microwave coagulation therapy (MCT) and ethanol injection therapy (EIT)].
20015
15 20094
16 20154
17 20164
18
[Metastatic endometrial sarcoma of the right ventricular outflow tract associated with disseminated intravascular coagulopathy].
19994
19
[Radio-frequency ablation (RFA) assisted endoscopic hepatectomy for hepatocellular carcinoma].
20044
20 20143

About Koichi Doi

Koichi Doi is a scholar working on Surgery, Oncology, Epidemiology, Hepatology and Pulmonary and Respiratory Medicine, having authored 51 papers that have together received 642 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Multiple and Secondary Primary Cancers (6 papers), Pancreatic and Hepatic Oncology Research (5 papers), Neuroendocrine Tumor Research Advances (4 papers), Metastasis and carcinoma case studies (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Hydrogen Storage and Materials (3 papers) and Genetic and Kidney Cyst Diseases (3 papers). The work is most often cited by research in Catalysis (54 citations), Energy Engineering and Power Technology (21 citations), Cell Biology (96 citations), Molecular Biology (256 citations) and Surgery (149 citations). Koichi Doi has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Gustav Ammerer, Hidenori Shinkawa, Anton Gartner, Kenji Sugimoto, Beverly Errede, J Tanaka, Fumiaki Tokimura, Yoshitsugu Kojima, Takayuki Ichikawa and Hiroki Miyaoka. Their work appears in journals such as Journal of Magnetism and Magnetic Materials, Anticancer Research, Spine, European Journal of Surgical Oncology and Surgery Today.

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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