Hideaki Takasaki

876 citations
35 papers · 668 indexed · h-index 11

Hideaki Takasaki

31 papers receiving 641 citations

Peers

Hideaki Takasaki
Comparison fields: 5 of 72
  • Oncology 380
  • Cancer Research 105
  • Surgery 263
  • Gastroenterology 26
  • Epidemiology 144
Replace Daria Arbogast with:
Daria Arbogast United States
Nan‐Yung Hsu Taiwan
Ryoji Sassa Japan
Kaoru Umeyama Japan
Ana Custodio Spain
Koichi Suyama Japan
Daishu Toya Japan
Takamichi Igarashi Japan
Marilyn Mulay United States
Long Bai China
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Citations per field
00.5×2.7×
Daria Arbogast · 1×
Citations per year

Countries citing papers authored by Hideaki Takasaki

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Takasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20174
2 20090
3 20099
4 20080
5 20060
6 200641
7 200311
8
Good embolization response for colorectal liver metastases with hypervascularity.
20036
9 199412
10 199210
11 19913
12 19892
13 198915
14 198916
15
Co-expression of CA 19-9, DU-PAN-2, CA 125, and TAG-72 in pancreatic adenocarcinoma.
198910
16 19888
17 198823
18
Expression of blood group-related antigens ABH, Lewis A, Lewis B, Lewis X, Lewis Y, and CA 19-9 in pancreatic cancer cells in comparison with the patient's blood group type.
198874
19 198816
20 19879

About Hideaki Takasaki

Hideaki Takasaki is a scholar working on Behavioral Neuroscience, Surgery and Endocrinology, Diabetes and Metabolism, having authored 35 papers that have together received 668 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (7 papers), Hormonal Regulation and Hypertension (5 papers), Colorectal and Anal Carcinomas (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Gastrointestinal disorders and treatments (3 papers), Abdominal vascular conditions and treatments (3 papers), Gastric Cancer Management and Outcomes (3 papers) and Anorectal Disease Treatments and Outcomes (2 papers). The work is most often cited by research in Oncology (380 citations), Cancer Research (105 citations) and Surgery (263 citations). Hideaki Takasaki has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include David Burnett, Margaret A. Tempero, E. Uchida, Zenon Steplewski, Parviz M. Pour, Yumi Takiyama, Z Steplewski, Takashi Tajiri, Kiyonori Furukawa and Isamu Miyamori. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Cancer and Human Pathology.

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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