What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Gene
- Cancer
His primary areas of investigation include Immunology, Mucin, Alcoholic liver disease, Liver disease and Internal medicine.
His research in Immunology intersects with topics in Bronchoalveolar lavage and Intestinal mucosa.
His work carried out in the field of Mucin brings together such families of science as Molecular biology and Gene expression, In situ hybridization.
He combines subjects such as Liver injury and Dysbiosis with his study of Alcoholic liver disease.
His Liver disease research includes themes of Chronic liver disease, Cirrhosis and Steatohepatitis.
The concepts of his Internal medicine study are interwoven with issues in Virus, Hepatitis C virus, Surgery and Alpha interferon.
His most cited work include:
- Intestinal Goblet Cells and Mucins in Health and Disease: Recent Insights and Progress (749 citations)
- Heterogeneity of Mucin Gene Expression in Normal and Neoplastic Tissues (611 citations)
- Neuropsychiatric Symptoms Associated With Hepatitis C and Interferon Alpha: A Review (377 citations)
What are the main themes of his work throughout his whole career to date?
Samuel B. Ho focuses on Internal medicine, Mucin, Immunology, Gastroenterology and Hepatitis C.
His study looks at the relationship between Internal medicine and topics such as Surgery, which overlap with Colonoscopy.
His work deals with themes such as Immunohistochemistry, Molecular biology and Epithelium, which intersect with Mucin.
His Immunology research includes elements of Liver disease, Alcoholic liver disease and Helicobacter pylori.
His Liver disease research incorporates themes from Cirrhosis, Steatohepatitis and Dysbiosis.
His Hepatitis C study deals with Depression intersecting with Psychological intervention and Physical therapy.
He most often published in these fields:
- Internal medicine (54.01%)
- Mucin (27.00%)
- Immunology (25.52%)
What were the highlights of his more recent work (between 2014-2021)?
- Internal medicine (54.01%)
- Liver disease (14.24%)
- Alcoholic liver disease (11.87%)
In recent papers he was focusing on the following fields of study:
Samuel B. Ho focuses on Internal medicine, Liver disease, Alcoholic liver disease, Gastroenterology and Cirrhosis.
He regularly ties together related areas like Endocrinology in his Internal medicine studies.
His study looks at the intersection of Liver disease and topics like Alcoholic hepatitis with Antibiotics, Cholesterol 7 alpha-hydroxylase, Chenodeoxycholic acid and Cholestasis.
He has included themes like Liver injury, Immunology, Chronic liver disease, Steatohepatitis and Dysbiosis in his Alcoholic liver disease study.
Immunology and Intestinal mucosa are frequently intertwined in his study.
His Dysbiosis research incorporates elements of Saturated fatty acid, Molecular biology and Intestinal permeability.
Between 2014 and 2021, his most popular works were:
- Allosteric inhibition of SHP2 phosphatase inhibits cancers driven by receptor tyrosine kinases (332 citations)
- A gp130-Src-YAP Module Links Inflammation to Epithelial Regeneration (329 citations)
- Disordered methionine metabolism in MTAP/CDKN2A-deleted cancers leads to dependence on PRMT5. (200 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Gene
- Cancer
His main research concerns Liver disease, Alcoholic liver disease, Internal medicine, Immunology and Dysbiosis.
His Liver disease study combines topics in areas such as Chronic liver disease, Cirrhosis, Steatohepatitis and Alcoholic hepatitis.
His biological study spans a wide range of topics, including Steatosis, Liver injury, Pathology, Andrology and Fatty liver.
His Internal medicine research is multidisciplinary, incorporating perspectives in Endocrinology, Interleukin 21 and Alcohol use disorder.
His biological study deals with issues like Intestinal mucosa, which deal with fields such as Apoptosis and Epithelial Damage.
Samuel B. Ho interconnects Intestinal permeability and Cecum in the investigation of issues within Dysbiosis.
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.
