Chiharu Sako

2.0k citations
27 papers · 251 indexed · h-index 10
Topics
Radiomics and Machine Learning in Medical Imaging (20 papers)Glioma Diagnosis and Treatment (9 papers)MRI in cancer diagnosis (5 papers)
Partner nations
United StatesFranceJapan

In The Last Decade

Chiharu Sako

23 papers receiving 248 citations

Peers

Chiharu Sako
Comparison fields: 5 of 55
  • Radiology, Nuclear Medicine and Imaging 141
  • Genetics 75
  • Biomedical Engineering 46
  • Neurology 43
  • Epidemiology 38
Replace Roelant S. Eijgelaar with:
Roelant S. Eijgelaar Netherlands
Zhengda Yu China
Niels Verburg Netherlands
Lianwang Li China
Zezhong Ye United States
Domenique M. J. Müller Netherlands
Francesco Sanvito United States
Matthew J. Barkovich United States
Qiaoyue Tan China
Lev Bangiyev United States
Chiharu Sako relative to Roelant S. Eijgelaar Netherlands Roelant S. Eijgelaar's profile →
Citations per field
00.5×1.5×
Roelant S. Eijgelaar · 1×
Citations per year

Countries citing papers authored by Chiharu Sako

Since Specialization
Citations

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

Fields of papers citing papers by Chiharu Sako

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiharu Sako

This figure shows the co-authorship network connecting the top 25 collaborators of Chiharu Sako. A scholar is included among the top collaborators of Chiharu Sako 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 Chiharu Sako. Chiharu Sako 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 10
2 0
3 5
4 14
5 1
6 1
7 5
8 17
9 9
10 16
11 3
12 1
13 2
14 28
15 35
16 3
17 19
18 1
19 1
20 1

About Chiharu Sako

Chiharu Sako is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Neurology, having authored 27 papers that have together received 251 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (20 papers), Glioma Diagnosis and Treatment (9 papers) and MRI in cancer diagnosis (5 papers). The work is most often cited by research in Health Informatics (20 citations), Genetics (75 citations) and Radiology, Nuclear Medicine and Imaging (141 citations). Chiharu Sako has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Christos Davatzikos, Spyridon Bakas, Hamed Akbari, Güray Erus, Sung Min Ha, Michel Bilello, Russell T. Shinohara, Sarthak Pati, Anahita Fathi Kazerooni and Siddhesh Thakur. Their work appears in journals such as Journal of Clinical Oncology, Journal of Neuroscience and Scientific Reports.

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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