What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Disease
- Tuberculosis
His scientific interests lie mostly in Tuberculosis, Immunology, Internal medicine, Mycobacterium tuberculosis and Surgery.
His research integrates issues of Meta-analysis, AIDS-Related Opportunistic Infections and Drug resistance in his study of Tuberculosis.
His studies deal with areas such as Tuberculin, Disease and Lung as well as Immunology.
His study in Internal medicine is interdisciplinary in nature, drawing from both Tuberculosis diagnosis and Acquired immunodeficiency syndrome.
His Mycobacterium tuberculosis study combines topics in areas such as Psychological intervention, Antibiotics, Gerontology and Contact tracing.
His Surgery research integrates issues from Reproductive health, Primary care, Family medicine, Breast feeding and Medical school.
His most cited work include:
- Protection by BCG Vaccine Against Tuberculosis: A Systematic Review of Randomized Controlled Trials (430 citations)
- Protection by BCG Vaccine Against Tuberculosis: A Systematic Review of Randomized Controlled Trials (430 citations)
- Interferon-γ release assays for the diagnosis of active tuberculosis: a systematic review and meta-analysis (395 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Tuberculosis, Immunology, Internal medicine, Mycobacterium tuberculosis and Disease.
He is interested in Latent tuberculosis, which is a branch of Tuberculosis.
His Immunology study combines topics from a wide range of disciplines, such as Bronchoalveolar lavage, Lung and Acquired immunodeficiency syndrome.
His research ties Sputum and Internal medicine together.
His work deals with themes such as Tuberculin, Drug resistance and Virology, which intersect with Mycobacterium tuberculosis.
His research links Intensive care medicine with Disease.
He most often published in these fields:
- Tuberculosis (75.25%)
- Immunology (36.87%)
- Internal medicine (33.84%)
What were the highlights of his more recent work (between 2018-2021)?
- Tuberculosis (75.25%)
- Internal medicine (33.84%)
- Intensive care medicine (12.12%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Tuberculosis, Internal medicine, Intensive care medicine, Disease and Family medicine.
His Tuberculosis research is multidisciplinary, relying on both Regimen, Incidence and Cohort.
The study incorporates disciplines such as Epidemiology, Psychosocial, Systematic review, Standard care and Drug resistance in addition to Intensive care medicine.
His Disease study deals with Pulmonary disease intersecting with Anesthesia, Oxygen saturation, Exacerbation and Pulse oximetry.
His Family medicine research includes elements of Psychological intervention, Observational study, Randomized controlled trial and Health care.
Marc Lipman has included themes like Tuberculin and Relative risk in his Latent tuberculosis study.
Between 2018 and 2021, his most popular works were:
- 'Long-COVID': a cross-sectional study of persisting symptoms, biomarker and imaging abnormalities following hospitalisation for COVID-19. (63 citations)
- The role of CT in case ascertainment and management of COVID-19 pneumonia in the UK: insights from high-incidence regions. (52 citations)
- Smartphone-enabled video-observed versus directly observed treatment for tuberculosis: a multicentre, analyst-blinded, randomised, controlled superiority trial (46 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Disease
- Acquired immunodeficiency syndrome
His primary scientific interests are in Tuberculosis, Internal medicine, Coronavirus disease 2019, Mycobacterium tuberculosis and Biomarker.
The study incorporates disciplines such as Odds ratio, Epidemiology and Intensive care medicine in addition to Tuberculosis.
His research on Internal medicine frequently links to adjacent areas such as Isoniazid.
His studies in Coronavirus disease 2019 integrate themes in fields like 2019-20 coronavirus outbreak, Logistic regression, Prognostic models and Emergency medicine.
His research investigates the link between Mycobacterium tuberculosis and topics such as Cohort that cross with problems in Relative risk and Transmission.
His Tuberculosis diagnosis study combines topics from a wide range of disciplines, such as Disease management and Incidence.
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.
