Daisuke Kakihara

2.3k citations
80 papers · 1.7k · h-index 25

Impact in

Papers in

Daisuke Kakihara

76 papers receiving 1.7k citations

Peers

Daisuke Kakihara
Comparison fields: 5 of 80
  • Hepatology 655
  • Radiology, Nuclear Medicine and Imaging 649
  • Oncology 422
  • Surgery 664
  • Epidemiology 488
Replace Hitoshi Aibe with:
Hitoshi Aibe Japan
Hiroyoshi Isoda Japan
Juan Ramón Ayuso Spain
Hyo Soon Lim South Korea
Matthew H. Stenmark United States
Korosh Khalili Canada
Sergio Venanzio Setola Italy
Maarten Thomeer Netherlands
Giampiero Francica Italy
Vamsi R. Narra United States
Daisuke Kakihara relative to Hitoshi Aibe Japan Hitoshi Aibe's profile →
Citations per field
00.5×2.9×
Hitoshi Aibe · 1×
Citations per year

Countries citing papers authored by Daisuke Kakihara

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Kakihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005140
2 2010110
3 2006109
4 200491
5 200775
6 201269
7 201962
8 200555
9 201150
10 200349
11 200646
12 200944
13 200442
14
MR imaging of renal cell carcinoma: its role in determining cell type.
200541
15 201940
16 200938
17 201137
18 201237
19 201034
20 201333

About Daisuke Kakihara

Daisuke Kakihara is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Hepatology, Pulmonary and Respiratory Medicine and Oncology, having authored 80 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (24 papers), MRI in cancer diagnosis (22 papers), Advanced MRI Techniques and Applications (15 papers), Liver Disease Diagnosis and Treatment (12 papers), Pancreatic and Hepatic Oncology Research (12 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (11 papers), Pancreatitis Pathology and Treatment (7 papers) and Renal cell carcinoma treatment (7 papers). The work is most often cited by research in Hepatology (655 citations), Radiology, Nuclear Medicine and Imaging (649 citations), Oncology (422 citations), Surgery (664 citations) and Epidemiology (488 citations). Daisuke Kakihara has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Hiroshi Honda, Akihiro Nishie, Yoshiki Asayama, Tsuyoshi Tajima, Kengo Yoshimitsu, Kousei Ishigami, Hiroyuki Irié, Tomohiro Nakayama, Tomohiro Nakayama and Nobuhiro Fujita. Their work appears in journals such as European Journal of Radiology, Journal of Magnetic Resonance Imaging, Journal of Computer Assisted Tomography, American Journal of Roentgenology and Clinical Radiology.

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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