What is he best known for?
The fields of study he is best known for:
- Cancer
- Internal medicine
- Disease
His primary areas of investigation include Internal medicine, Immunology, Cancer, Incidence and Risk factor.
His study in Internal medicine is interdisciplinary in nature, drawing from both Gastroenterology and Oncology.
His Immunology research includes themes of Odds ratio, Retrospective cohort study and Skin cancer.
The study incorporates disciplines such as Lung cancer, Acquired immunodeficiency syndrome and Hazard ratio in addition to Cancer.
His Incidence study combines topics from a wide range of disciplines, such as Cohort study, Non-Hodgkin's lymphoma, Meta-analysis, Gynecology and Cohort.
His Risk factor study deals with Immunopathology intersecting with Viral disease.
His most cited work include:
- Human Papillomavirus and Rising Oropharyngeal Cancer Incidence in the United States (2282 citations)
- Incidence Trends for Human Papillomavirus–Related and –Unrelated Oral Squamous Cell Carcinomas in the United States (1195 citations)
- Spectrum of cancer risk among US solid organ transplant recipients. (879 citations)
What are the main themes of his work throughout his whole career to date?
Eric A. Engels focuses on Internal medicine, Immunology, Cancer, Oncology and Incidence.
His Internal medicine research integrates issues from Gastroenterology and Acquired immunodeficiency syndrome.
Eric A. Engels interconnects Case-control study, Confidence interval and Risk factor in the investigation of issues within Immunology.
His Cancer study integrates concerns from other disciplines, such as Surgery, Transplantation and Hazard ratio.
His work carried out in the field of Oncology brings together such families of science as Cancer screening, Skin cancer, Epidemiology of cancer, Colorectal cancer and Prostate cancer.
His Incidence research is multidisciplinary, incorporating perspectives in Young adult, Relative risk and Cohort study.
He most often published in these fields:
- Internal medicine (66.40%)
- Immunology (47.51%)
- Cancer (47.51%)
What were the highlights of his more recent work (between 2016-2021)?
- Internal medicine (66.40%)
- Cancer (47.51%)
- Incidence (27.03%)
In recent papers he was focusing on the following fields of study:
His main research concerns Internal medicine, Cancer, Incidence, Oncology and Immunology.
He regularly ties together related areas like Acquired immunodeficiency syndrome in his Internal medicine studies.
His Cancer research incorporates themes from Mortality rate, Epidemiology and Lymphoma.
His research integrates issues of Gastroenterology, Colorectal cancer, Young adult and Skin cancer in his study of Incidence.
His Oncology study combines topics in areas such as Sarcoma, Breast cancer, Leukemia, Chronic lymphocytic leukemia and Prostate cancer.
His studies deal with areas such as Genotyping and Risk factor as well as Immunology.
Between 2016 and 2021, his most popular works were:
- Cancer risk in HIV-infected people in the USA from 1996 to 2012: a population-based, registry-linkage study (143 citations)
- Evolving epidemiology of HIV-associated malignancies. (72 citations)
- Anal Cancer Risk Among People With HIV Infection in the United States. (68 citations)
In his most recent research, the most cited papers focused on:
- Cancer
- Internal medicine
- Disease
His scientific interests lie mostly in Internal medicine, Cancer, Oncology, Incidence and Acquired immunodeficiency syndrome.
As part of his studies on Internal medicine, Eric A. Engels often connects relevant areas like Immunology.
He combines subjects such as Mortality rate, Disease and Intensive care medicine with his study of Immunology.
His study in Cancer is interdisciplinary in nature, drawing from both Odds ratio and Epidemiology.
His Oncology research is multidisciplinary, relying on both Prostate, Breast cancer, Colorectal cancer, Prostate cancer and Transplantation.
His work deals with themes such as Cohort study, Sarcoma, Lung cancer, Cancer prevention and Cohort, which intersect with Acquired immunodeficiency syndrome.
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.
