What is he best known for?
The fields of study he is best known for:
- Cancer
- Internal medicine
- Surgery
His scientific interests lie mostly in Surgery, Internal medicine, Carcinoma, Lung cancer and Cancer.
His research brings together the fields of Anesthesia and Surgery.
His Internal medicine research is multidisciplinary, relying on both Gastroenterology and Oncology.
His Carcinoma study combines topics in areas such as Respiratory disease and Metastasis.
His Lung cancer research incorporates themes from Thoracotomy and Radiology.
His studies in Cancer integrate themes in fields like Antigen and Pathology.
His most cited work include:
- VEGFR1-positive haematopoietic bone marrow progenitors initiate the pre-metastatic niche (2322 citations)
- Early Lung Cancer Action Project: overall design and findings from baseline screening (2056 citations)
- Epithelial-to-mesenchymal transition is not required for lung metastasis but contributes to chemoresistance (1029 citations)
What are the main themes of his work throughout his whole career to date?
Nasser K. Altorki mostly deals with Surgery, Lung cancer, Internal medicine, Cancer and Oncology.
Nasser K. Altorki has included themes like Esophagectomy and Carcinoma in his Surgery study.
The concepts of his Lung cancer study are interwoven with issues in Cancer research, Lung, Wedge resection and Radiology.
The various areas that Nasser K. Altorki examines in his Cancer research study include Carcinogenesis, Cancer cell, Metastasis and Immunology.
In the field of Internal medicine, his study on Esophageal cancer, Adenocarcinoma and Chemotherapy overlaps with subjects such as In patient.
His Cancer study frequently involves adjacent topics like Antigen.
He most often published in these fields:
- Surgery (36.03%)
- Lung cancer (29.33%)
- Internal medicine (29.56%)
What were the highlights of his more recent work (between 2015-2021)?
- Internal medicine (29.56%)
- Lung cancer (29.33%)
- Surgery (36.03%)
In recent papers he was focusing on the following fields of study:
Nasser K. Altorki focuses on Internal medicine, Lung cancer, Surgery, Oncology and Cancer.
His work on Esophageal cancer, Cohort and Adenocarcinoma as part of his general Internal medicine study is frequently connected to In patient, thereby bridging the divide between different branches of science.
The Adenocarcinoma study combines topics in areas such as Lung and Pathology.
His research integrates issues of KRAS, Cancer research, Lymphadenectomy and Radiology in his study of Lung cancer.
His biological study deals with issues like Metastasis, which deal with fields such as Angiogenesis and Cell.
His research in Oncology intersects with topics in Neoadjuvant therapy, Breast cancer and Chemotherapy, Adjuvant therapy.
Between 2015 and 2021, his most popular works were:
- TOX is a critical regulator of tumour-specific T cell differentiation (231 citations)
- Efficacy of the MAGE-A3 cancer immunotherapeutic as adjuvant therapy in patients with resected MAGE-A3-positive non-small-cell lung cancer (MAGRIT): a randomised, double-blind, placebo-controlled, phase 3 trial (209 citations)
- The lung microenvironment: an important regulator of tumour growth and metastasis (195 citations)
In his most recent research, the most cited papers focused on:
- Cancer
- Internal medicine
- Surgery
Nasser K. Altorki spends much of his time researching Lung cancer, Surgery, Internal medicine, Pneumonectomy and Cancer research.
As part of the same scientific family, Nasser K. Altorki usually focuses on Lung cancer, concentrating on Carcinoma and intersecting with T-stage and Survival analysis.
While the research belongs to areas of Surgery, he spends his time largely on the problem of Lymphadenectomy, intersecting his research to questions surrounding Dissection.
His Internal medicine research incorporates elements of Gastroenterology and Oncology.
His Cancer research research is multidisciplinary, incorporating elements of T cell, Immune system, Metastasis and Effector.
His work focuses on many connections between Retrospective cohort study and other disciplines, such as Stage, that overlap with his field of interest in Propensity score matching.
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.
