Sakan Maeda

525 citations
20 papers · 411 indexed · h-index 11
Topics
Bone health and treatments (4 papers)Advanced X-ray Imaging Techniques (2 papers)Genetic factors in colorectal cancer (2 papers)
Partner nations
JapanCanadaUnited States

In The Last Decade

Sakan Maeda

19 papers receiving 400 citations

Peers

Sakan Maeda
Comparison fields: 5 of 66
  • Oncology 157
  • Molecular Biology 148
  • Nephrology 127
  • Genetics 99
  • Pathology and Forensic Medicine 57
Replace Kevin D. Healy with:
Kevin D. Healy United States
Emanuela Heller Germany
V.M. Factor United States
Jitka Štekrová Czechia
Shirley Yan United States
Antoon H van Lierop Netherlands
Djillali Sahali France
J. Fonseca United States
Tzu-Ting Hsu Australia
Yuichi Konuma Japan
Sakan Maeda relative to Kevin D. Healy United States Kevin D. Healy's profile →
Citations per field
00.5×3.3×
Kevin D. Healy · 1×
Citations per year

Countries citing papers authored by Sakan Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Sakan Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sakan Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Sakan Maeda. A scholar is included among the top collaborators of Sakan Maeda 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 Sakan Maeda. Sakan Maeda 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
How to help Acehnese helping themselves?--a note after a visit with Kobe University medical team.
1
2 4
3
Estimation of contrast of refraction contrast imaging compared with absorption imaging-basic approach.
0
4
Ray tracing analysis of overlapping objects in refraction contrast imaging.
3
5
Measurement of blood vessel diameter for angiography using refraction contrast imaging.
1
6 2
7 7
8 103
9 16
10 16
11 16
12 11
13 16
14 56
15 14
16 36
17 16
18 86
19 5
20
Two Jurassic trigoniids from the Tetori group in the Arimine district,central Japan.
2

About Sakan Maeda

Sakan Maeda is a scholar working on Nephrology, Radiation and Oncology, having authored 20 papers that have together received 411 indexed citations. Recurring topics across this work include Bone health and treatments (4 papers), Advanced X-ray Imaging Techniques (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Nephrology (127 citations), Oncology (157 citations) and Genetics (99 citations). Sakan Maeda has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Sohei Kitazawa, Riko Kitazawa, Akira Kobayashi, Kazuo Chihara, Masaaki Fukase, Shozo Yano, T. Sugimoto, Tatsuo Tsukamoto, Takahiro Fujimori and Ko Okumura. Their work appears in journals such as Journal of Clinical Investigation, Cancer and Kidney International.

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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