What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Surgery
- Cancer
His primary areas of study are Surgery, Liver transplantation, Internal medicine, Transplantation and Gastroenterology.
Living donor liver transplantation, Retrospective cohort study, Survival rate, Anastomosis and Complication are the core of his Surgery study.
His biological study spans a wide range of topics, including Portal venous pressure, Immunosuppression, Ascites, Liver disease and Rituximab.
His Internal medicine research incorporates themes from Endocrinology and Oncology.
His Transplantation research is multidisciplinary, incorporating perspectives in Biliary tract, Immunology, Vein and Pathology.
His work in Gastroenterology tackles topics such as Biopsy which are related to areas like FOXP3.
His most cited work include:
- Impact of graft size mismatching on graft prognosis in liver transplantation from living donors. (753 citations)
- Continuous cell supply from a Sox9-expressing progenitor zone in adult liver, exocrine pancreas and intestine (631 citations)
- Surgical techniques and innovations in living related liver transplantation. (496 citations)
What are the main themes of his work throughout his whole career to date?
Shinji Uemoto mainly focuses on Internal medicine, Liver transplantation, Surgery, Gastroenterology and Transplantation.
As a member of one scientific family, Shinji Uemoto mostly works in the field of Internal medicine, focusing on Hepatectomy and, on occasion, Liver regeneration.
His research integrates issues of Liver disease, Cirrhosis, Immunology and Pathology in his study of Liver transplantation.
As part of his studies on Surgery, he often connects relevant subjects like Radiology.
His Gastroenterology study incorporates themes from Survival rate, Sarcopenia and Incidence.
Transplantation is closely attributed to Immunosuppression in his work.
He most often published in these fields:
- Internal medicine (42.70%)
- Liver transplantation (39.64%)
- Surgery (33.25%)
What were the highlights of his more recent work (between 2017-2021)?
- Internal medicine (42.70%)
- Gastroenterology (27.53%)
- Liver transplantation (39.64%)
In recent papers he was focusing on the following fields of study:
Shinji Uemoto focuses on Internal medicine, Gastroenterology, Liver transplantation, Surgery and Living donor liver transplantation.
His Internal medicine research integrates issues from Hepatectomy and Oncology.
Much of his study explores Hepatectomy relationship to Radiology.
The Gastroenterology study combines topics in areas such as Adipose tissue, Sarcopenia, Risk factor and Receiver operating characteristic.
His Liver transplantation research entails a greater understanding of Transplantation.
His study in Islet extends to Transplantation with its themes.
Between 2017 and 2021, his most popular works were:
- Expanded living-donor liver transplantation criteria for patients with hepatocellular carcinoma based on the Japanese nationwide survey: the 5-5-500 rule - a retrospective study. (32 citations)
- ARID1A Maintains Differentiation of Pancreatic Ductal Cells and Inhibits Development of Pancreatic Ductal Adenocarcinoma in Mice (30 citations)
- Impact of sarcopenic obesity on outcomes in patients undergoing living donor liver transplantation. (28 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Surgery
- Cancer
His primary areas of investigation include Internal medicine, Gastroenterology, Liver transplantation, Living donor liver transplantation and Retrospective cohort study.
Many of his studies on Internal medicine apply to Oncology as well.
His Gastroenterology research incorporates elements of Adipose tissue, Sarcopenia, Hepatectomy and Hazard ratio.
The various areas that Shinji Uemoto examines in his Liver transplantation study include Regimen, Cirrhosis and Hepatology.
His Living donor liver transplantation study is related to the wider topic of Surgery.
Shinji Uemoto has researched Surgery in several fields, including Liver function and Multivariate analysis.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
