Papers

7

Total Citations

60

H-Index

4

About

Dr. Hiroki Ishihara is a leading urologic surgeon and researcher whose work centers on advancing robot-assisted surgical techniques for kidney and bladder cancers. His major contributions lie in optimizing perioperative outcomes and preserving renal function. He is best known for validating the Mayo Adhesive Probability (MAP) score as a predictor of surgical complexity in robot-assisted partial nephrectomy, a study with 29 citations that helps surgeons anticipate challenging adherent perinephric fat. Dr. Ishihara has also investigated the impact of ureteral clamping time on acute kidney injury during robot-assisted radical cystectomy (11 citations), providing critical insights for reducing postoperative renal damage. His research extends to developing predictive models for new baseline renal function after nephrectomy and comparing surgical outcomes between robot-assisted and open approaches for repeat partial nephrectomy. Notably, his early work on variable viscoelastic joints using artificial muscles and magnetorheological brakes demonstrates a unique interdisciplinary background in robotics, which informs his current focus on precision in urologic surgery. With a growing portfolio of studies that combine rigorous methodology with clinical relevance, Dr. Ishihara is shaping the future of minimally invasive urologic oncology.

Research Focus

Key Achievements

4
H-Index
7
Papers
60
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Impact of the Mayo Adhesive Probability Score on the Complexity of Robot-Assisted Partial Nephrectomy
29 citations · 2018
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Tokyo Women's Medical University, Tokyo Women's Medical University Adachi Medical Center, Chuo University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago