What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Cancer
- Gene
Internal medicine, Pathology, Cirrhosis, Gastroenterology and Immunology are his primary areas of study.
Robert D. Goldin combines topics linked to Endocrinology with his work on Internal medicine.
The various areas that he examines in his Pathology study include Absorption, Terahertz radiation, Terahertz pulsed imaging and Liver injury.
Robert D. Goldin combines subjects such as Liver disease, Steatosis and Hepatitis C virus with his study of Cirrhosis.
His Gastroenterology research is multidisciplinary, incorporating elements of Fibrosis, Hepatitis B, Lamivudine and Liver biopsy.
His Immunology study combines topics from a wide range of disciplines, such as Cancer research and Pharmacology.
His most cited work include:
- Histological outcome during long-term lamivudine therapy (633 citations)
- Mouse models in non-alcoholic fatty liver disease and steatohepatitis research (571 citations)
- Dysfunction of Endothelial Protein C Activation in Severe Meningococcal Sepsis (550 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Internal medicine, Pathology, Gastroenterology, Immunology and Liver disease.
His work investigates the relationship between Internal medicine and topics such as Oncology that intersect with problems in Colorectal cancer.
In his research, Steatohepatitis is intimately related to Steatosis, which falls under the overarching field of Pathology.
His studies in Gastroenterology integrate themes in fields like Hepatitis C, Surgery and Hepatitis C virus.
Immunology is closely attributed to Virology in his study.
His Liver disease research integrates issues from Hepatitis B and Hepatitis.
He most often published in these fields:
- Internal medicine (34.17%)
- Pathology (23.92%)
- Gastroenterology (19.13%)
What were the highlights of his more recent work (between 2017-2021)?
- Internal medicine (34.17%)
- Cancer research (7.29%)
- Gastroenterology (19.13%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Internal medicine, Cancer research, Gastroenterology, Immune system and Colorectal cancer.
His Internal medicine research is multidisciplinary, relying on both Endocrinology and Oncology.
His work in Gastroenterology covers topics such as Steatohepatitis which are related to areas like Liver disease.
Within one scientific family, he focuses on topics pertaining to Fibrosis under Liver disease, and may sometimes address concerns connected to Insulin resistance.
The Immune system study combines topics in areas such as Hepatocellular carcinoma and Monocyte.
His work in Programmed cell death ligand 1 tackles topics such as Pathology which are related to areas like Cell.
Between 2017 and 2021, his most popular works were:
- Colonic epithelial cell diversity in health and inflammatory bowel disease (123 citations)
- Histopathological findings and viral tropism in UK patients with severe fatal COVID-19: a post-mortem study. (100 citations)
- Mouse Models of Nonalcoholic Steatohepatitis: Toward Optimization of Their Relevance to Human Nonalcoholic Steatohepatitis (77 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Cancer
- Gene
His scientific interests lie mostly in Internal medicine, Fibrosis, Prospective cohort study, Cell biology and Biopsy.
His Gastroenterology research extends to the thematically linked field of Internal medicine.
His Fibrosis study incorporates themes from Nonalcoholic fatty liver disease, Endocrinology, Steatohepatitis and Insulin resistance.
The concepts of his Prospective cohort study study are interwoven with issues in Mean platelet volume, Retrospective cohort study, Univariate analysis and Cohort.
His biological study spans a wide range of topics, including Inflammation, Intestinal mucosa and Goblet cell.
The study incorporates disciplines such as Adverse effect and Clinical trial in addition to Biopsy.
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.
