Jun Kishii
Papers
2
Total Citations
23
H-Index
2
About
Jun Kishii is a clinical researcher specializing in anesthesiology and perioperative pain management, with a particular focus on optimizing postoperative analgesia for patients undergoing robot-assisted thoracic surgery (RATS). As minimally invasive robotic surgical techniques have expanded in thoracic oncology and mediastinal disease treatment, Kishii has positioned himself at the forefront of evaluating analgesic strategies tailored to this evolving surgical landscape. His most impactful work, cited 15 times, directly compared thoracic epidural analgesia against intercostal nerve block combined with intravenous patient-controlled analgesia in RATS patients, providing clinicians with much-needed evidence to guide pain management decisions in a previously understudied context. Building on this foundation, his 2023 study — already accumulating 8 citations — extended this inquiry to mediastinal disease cases, systematically evaluating general anesthesia alone versus combined epidural or ultrasound-guided thoracic paraspinal block approaches. Kishii's contributions are particularly valuable because they address a genuine gap in clinical knowledge: while robotic thoracic surgery has grown rapidly in adoption, its specific analgesic requirements had remained largely uninvestigated. His comparative, evidence-based methodology offers practical guidance for anesthesiologists navigating this emerging surgical frontier.
Research Focus
Key Achievements
Top Papers
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