Takeo Sakurai

2.5k citations
112 papers · 1.9k indexed · h-index 25
Topics
Breast Cancer Treatment Studies (12 papers)Breast Lesions and Carcinomas (10 papers)HER2/EGFR in Cancer Research (8 papers)
Journals
SHILAP Revista de lepidopterologíaNeurologyCancer
Partner nations
JapanUnited StatesChina

In The Last Decade

Takeo Sakurai

106 papers receiving 1.9k citations

Peers

Takeo Sakurai
Comparison fields: 5 of 114
  • Molecular Biology 641
  • Oncology 369
  • Neurology 336
  • Cancer Research 328
  • Pathology and Forensic Medicine 288
Replace Marı́a M. Fergusson with:
Marı́a M. Fergusson United States
Ling Jing China
Takaaki Sasaki Japan
Hiroto Furuta Japan
Jun Qin Mo United States
Tadeusz Pawełczyk Poland
Yanhong Wu China
Hong Zhu China
Hideichi Makino Japan
Boél De Paepe Belgium
Takeo Sakurai relative to Marı́a M. Fergusson United States Marı́a M. Fergusson's profile →
Citations per field
00.5×1.5×1.9×
Marı́a M. Fergusson · 1×
Citations per year

Countries citing papers authored by Takeo Sakurai

Since Specialization
Citations

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

Fields of papers citing papers by Takeo Sakurai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeo Sakurai

This figure shows the co-authorship network connecting the top 25 collaborators of Takeo Sakurai. A scholar is included among the top collaborators of Takeo Sakurai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Takeo Sakurai. Takeo Sakurai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 30
3 1
4 3
5
Intussusception of small intestine due to metastasis of large cell carcinoma of the lung with a rhabdoid phenotype
2
6 10
7 0
8 2
9 3
10 2
11
Clinicopathological significance of fragile histidine triad transcription protein expression in breast carcinoma.
27
12 34
13 23
14 0
15 4
16 1
17 24
18 16
19 15
20
Effects of DM-9384 and aniracetam on learning in normal and basal forebrain-lesioned rats
11

About Takeo Sakurai

Takeo Sakurai is a scholar working on Neurology, Cancer Research and Oncology, having authored 112 papers that have together received 1.9k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (12 papers), Breast Lesions and Carcinomas (10 papers) and HER2/EGFR in Cancer Research (8 papers). The work is most often cited by research in Neurology (336 citations), Cancer Research (328 citations) and Pathology and Forensic Medicine (288 citations). Takeo Sakurai has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Qifeng Yang, Goro Yoshimura, Takaomi Suzuma, Teiji Umemura, Ichiro Mori, Akio Kimura, Kennichi Kakudo, Takashi Inuzuka, Isao Hozumi and Misa Nakamura. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology and Cancer.

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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