E Sasaki

1.1k total citations · 1 hit paper
9 papers, 693 citations indexed

About

E Sasaki is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Physiology. According to data from OpenAlex, E Sasaki has authored 9 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 3 papers in Surgery and 3 papers in Physiology. Recurrent topics in E Sasaki's work include Obstructive Sleep Apnea Research (3 papers), Cardiovascular and Diving-Related Complications (2 papers) and Cardiovascular Syncope and Autonomic Disorders (2 papers). E Sasaki is often cited by papers focused on Obstructive Sleep Apnea Research (3 papers), Cardiovascular and Diving-Related Complications (2 papers) and Cardiovascular Syncope and Autonomic Disorders (2 papers). E Sasaki collaborates with scholars based in Japan, Canada and Germany. E Sasaki's co-authors include Frances Chung, Colin M. Shapiro, Rajeev Subramanyam, Pu Liao, T. Yoshikawa, Kazuo Matsuyama, Yuji Naito, Masakazu Kondo, Naoki Yoshida and Hiromi Rakugi and has published in prestigious journals such as British Journal of Anaesthesia, Clinical Therapeutics and Journal of Bone and Mineral Metabolism.

In The Last Decade

E Sasaki

9 papers receiving 664 citations

Hit Papers

High STOP-Bang score indicates a high probability of obst... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
E Sasaki Japan 5 475 327 216 147 111 9 693
Steven M. Rhondeau United States 6 360 0.8× 238 0.7× 85 0.4× 98 0.7× 204 1.8× 6 763
Steven Coughlin United Kingdom 7 841 1.8× 566 1.7× 311 1.4× 172 1.2× 58 0.5× 12 1.0k
James J. Herdegen United States 13 775 1.6× 562 1.7× 292 1.4× 195 1.3× 83 0.7× 21 965
T. Douglas Bradley Canada 11 659 1.4× 471 1.4× 323 1.5× 98 0.7× 58 0.5× 24 773
A Cornette France 11 414 0.9× 313 1.0× 557 2.6× 42 0.3× 61 0.5× 21 796
Kensuke Sumi Japan 16 452 1.0× 265 0.8× 241 1.1× 132 0.9× 53 0.5× 33 669
Nathalie Arnol France 13 419 0.9× 336 1.0× 339 1.6× 35 0.2× 60 0.5× 32 633
Nicholas Antic Australia 11 470 1.0× 254 0.8× 197 0.9× 152 1.0× 133 1.2× 16 1.8k
Julie Plante Canada 8 734 1.5× 552 1.7× 442 2.0× 116 0.8× 99 0.9× 8 956
R Mullins United Kingdom 6 1.5k 3.1× 1.1k 3.5× 654 3.0× 199 1.4× 104 0.9× 10 1.6k

Countries citing papers authored by E Sasaki

Since Specialization
Citations

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

Fields of papers citing papers by E Sasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E Sasaki

This figure shows the co-authorship network connecting the top 25 collaborators of E Sasaki. A scholar is included among the top collaborators of E Sasaki 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 E Sasaki. E Sasaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Wang, Chenwei, Mamoru Yoshikawa, Mikiya Asako, et al.. (2024). Mepolizumab in CRSwNP/ECRS and NP: the phase III randomised MERIT trial in Japan, China, and Russia. Rhinology Journal. 0(0). 0–0. 10 indexed citations
2.
Soen, Satoshi, Hideaki Kishimoto, Hiroshi Hagino, et al.. (2019). Phase II/III, randomized, double-blind, parallel-group study of monthly delayed-release versus daily immediate-release risedronate tablets in Japanese patients with involutional osteoporosis. Journal of Bone and Mineral Metabolism. 38(1). 86–98. 1 indexed citations
4.
Chung, Frances, et al.. (2012). High STOP-Bang score indicates a high probability of obstructive sleep apnoea. British Journal of Anaesthesia. 108(5). 768–775. 584 indexed citations breakdown →
5.
Chung, Frances, et al.. (2012). High STOP-Bang Score Indicates a High Probability of Obstructive Sleep Apnoea. Survey of Anesthesiology. 56(6). 312–312. 18 indexed citations
6.
Chung, Frances, Pu Liao, E Sasaki, Hisham Elsaid, & Balaji Yegneswaran. (2011). A Higher Score On STOP-Bang Questionnaire Predicts More Severe OSA. A2237–A2237. 1 indexed citations
7.
Chung, Frances, Pu Liao, Hisham Elsaid, E Sasaki, & Sazzadul Islam. (2011). A Higher Score On Stop-Bang Questionnaire Was Associated With A Higher Incidence Of Postoperative Complications. A6063–A6063. 1 indexed citations
8.
Maesaki, Shigefumi, E Sasaki, Yasuhito Higashiyama, et al.. (1999). [A rare case of lung adenocarcinoma in cavity wall of pulmonary aspergilloma].. PubMed. 37(8). 658–61. 1 indexed citations
9.
Naito, Yuji, T. Yoshikawa, Kazuo Matsuyama, et al.. (1998). Rebamipide protects against indomethacin-induced gastric mucosal injury in healthy volunteers in a double-blind, placebo-controlled study.. PubMed. 43(9 Suppl). 83S–89S. 63 indexed citations

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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