Yoko Sakai

902 citations
53 papers · 703 indexed · h-index 13
Topics
Hepatitis C virus research (7 papers)Liver Disease Diagnosis and Treatment (5 papers)Anesthesia and Pain Management (4 papers)
Journals
Nucleic Acids ResearchJournal of Clinical InvestigationSHILAP Revista de lepidopterología

In The Last Decade

Yoko Sakai

50 papers receiving 685 citations

Peers

Yoko Sakai
Comparison fields: 5 of 88
  • Hepatology 183
  • Epidemiology 167
  • Endocrinology, Diabetes and Metabolism 127
  • Surgery 106
  • Molecular Biology 106
Replace K Hatakeyama with:
K Hatakeyama Japan
D. Brooke Johnson United States
Yali Liu China
Masafumi Kobayashi Japan
John Birk United States
Valentina D’Angelo Italy
A P Savage United Kingdom
Andy Huang United Kingdom
Naoki Minami Japan
Akiko Matsumoto Japan
Yoko Sakai relative to K Hatakeyama Japan K Hatakeyama's profile →
Citations per field
00.5×11.5×
K Hatakeyama · 1×
Citations per year

Countries citing papers authored by Yoko Sakai

Since Specialization
Citations

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

Fields of papers citing papers by Yoko Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoko Sakai

This figure shows the co-authorship network connecting the top 25 collaborators of Yoko Sakai. A scholar is included among the top collaborators of Yoko Sakai 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 Yoko Sakai. Yoko Sakai 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 3
2 15
3
Effectiveness of Current Treatments for Wet Age-Related Macular Degeneration in Japan: A Systematic Review and Pooled Data Analysis
8
4 12
5 2
6 9
7 8
8 1
9 12
10 10
11 12
12 20
13 65
14 23
15 24
16 5
17 1
18 6
19 6
20 2

About Yoko Sakai

Yoko Sakai is a scholar working on Anesthesiology and Pain Medicine, Hepatology and Behavioral Neuroscience, having authored 53 papers that have together received 703 indexed citations. Recurring topics across this work include Hepatitis C virus research (7 papers), Liver Disease Diagnosis and Treatment (5 papers) and Anesthesia and Pain Management (4 papers). The work is most often cited by research in Hepatology (183 citations), Behavioral Neuroscience (55 citations) and Endocrine and Autonomic Systems (67 citations). Yoko Sakai has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Toyomi MATSUMOTO, Kazuaki Chayama, Masamitsu Unakami, Hiromitsu Kumada, Kenji Ikeda, Toshihiro Suda, Satoshi Saitoh, Yasuo Tsutsumi, Katsuya Tanaka and FUMIKO TOZAWA. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

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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