Chie Seki

101 papers receiving 1.3k citations

Peers

Chie Seki
Comparison fields: 5 of 109
  • Biological Psychiatry 45
  • Cellular and Molecular Neuroscience 307
  • Radiology, Nuclear Medicine and Imaging 349
  • Neurology 128
  • Neurology 152
Replace Yoko Ikoma with:
Yoko Ikoma Japan
Olivier Barret United States
Douglass Vines Canada
Jeih-San Liow United States
Ming‐Qiang Zheng United States
Bang‐Hung Yang Taiwan
Sharon Ashworth United Kingdom
Takuya Toyonaga United States
Eli Livni United States
Hidekazu Kawashima Japan
Chie Seki relative to Yoko Ikoma Japan Yoko Ikoma's profile →
Citations per field
00.5×1.5×1.9×
Yoko Ikoma · 1×
Citations per year

Countries citing papers authored by Chie Seki

Since Specialization
Citations

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

Fields of papers citing papers by Chie Seki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201286
2 201583
3 200674
4 202049
5 202145
6 200843
7 198037
8 201934
9 201627
10 198627
11 200927
12 200626
13 201325
14 201925
15 201324
16 201023
17 202122
18 201622
19 201421
20 198220

About Chie Seki

Chie Seki is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Physiology, having authored 105 papers that have together received 1.3k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (30 papers), Advanced MRI Techniques and Applications (15 papers), Neuroscience and Neuropharmacology Research (10 papers), Alzheimer's disease research and treatments (10 papers), Traumatic Brain Injury and Neurovascular Disturbances (8 papers), Neurotransmitter Receptor Influence on Behavior (8 papers), Receptor Mechanisms and Signaling (5 papers) and Venomous Animal Envenomation and Studies (5 papers). The work is most often cited by research in Biological Psychiatry (45 citations), Cellular and Molecular Neuroscience (307 citations), Radiology, Nuclear Medicine and Imaging (349 citations), Neurology (128 citations) and Neurology (152 citations). Chie Seki has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Tetsuya Suhara, Hiroshi Ito, Makoto Higuchi, Juan C. Vidal, Yoko Ikoma, Yasuyuki Kimura, Ming‐Rong Zhang, Harumasa Takano, Kazunori Kawamura and Hidehiko Takahashi. Their work appears in journals such as NeuroImage, Annals of Nuclear Medicine, European Journal of Nuclear Medicine and Molecular Imaging, Journal of Nuclear Medicine and Journal of Cerebral Blood Flow & Metabolism.

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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