What is he best known for?
The fields of study he is best known for:
- Cancer
- Internal medicine
- Surgery
The scientist’s investigation covers issues in Melanoma, Dermatology, Cutaneous melanoma, Pathology and Surgery.
His Melanoma research incorporates elements of Cancer, Primary tumor, Lymph node and Lymph.
His Dermatology research is multidisciplinary, incorporating perspectives in Incidence, Increased risk, Melanocytic nevus, Lentigo maligna and Risk factor.
His study in Cutaneous melanoma is interdisciplinary in nature, drawing from both Melanoma diagnosis, Neoplasm staging, Tumor site, Disease and Stage.
The study incorporates disciplines such as Survival rate, Breslow Thickness and Radiology in addition to Stage.
His studies deal with areas such as Pediatrics and Skin cancer as well as Surgery.
His most cited work include:
- Final Version of 2009 AJCC Melanoma Staging and Classification (3479 citations)
- Final Version of the American Joint Committee on Cancer Staging System for Cutaneous Melanoma (2311 citations)
- Management of cutaneous melanoma. (724 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Melanoma, Dermatology, Pathology, Cutaneous melanoma and Internal medicine.
His research integrates issues of Cancer, Biopsy, Surgery and Lymph node in his study of Melanoma.
He has researched Dermatology in several fields, including Incidence, Dysplastic nevus, Skin cancer, Melanocytic nevus and Disease.
His Pathology study frequently links to related topics such as Metastasis.
Many of his studies on Cutaneous melanoma involve topics that are commonly interrelated, such as Family history.
His work in Internal medicine addresses subjects such as Oncology, which are connected to disciplines such as Merkel cell carcinoma and Multivariate analysis.
He most often published in these fields:
- Melanoma (63.28%)
- Dermatology (40.33%)
- Pathology (27.21%)
What were the highlights of his more recent work (between 2009-2021)?
- Melanoma (63.28%)
- Dermatology (40.33%)
- Cutaneous melanoma (24.26%)
In recent papers he was focusing on the following fields of study:
Melanoma, Dermatology, Cutaneous melanoma, Internal medicine and Biopsy are his primary areas of study.
Arthur J. Sober combines subjects such as Sentinel lymph node, Retrospective cohort study, Lymph, Pathology and Metastasis with his study of Melanoma.
His studies in Pathology integrate themes in fields like Increased risk and Morphology.
The Dermatopathology research Arthur J. Sober does as part of his general Dermatology study is frequently linked to other disciplines of science, such as General hospital, therefore creating a link between diverse domains of science.
His Cutaneous melanoma study frequently draws connections between related disciplines such as Actinic keratosis.
His Internal medicine research integrates issues from Gestation and Oncology.
Between 2009 and 2021, his most popular works were:
- Pathologic nodal evaluation improves prognostic accuracy in Merkel cell carcinoma: Analysis of 5823 cases as the basis of the first consensus staging system (383 citations)
- Guidelines of care for the management of primary cutaneous melanoma (367 citations)
- Analysis of Prognostic Factors from 9387 Merkel Cell Carcinoma Cases Forms the Basis for the New 8th Edition AJCC Staging System. (189 citations)
In his most recent research, the most cited papers focused on:
- Cancer
- Internal medicine
- Surgery
Arthur J. Sober mainly focuses on Dermatology, Melanoma, Internal medicine, Oncology and Merkel cell carcinoma.
His Dermatology research includes elements of Sentinel lymph node and Early detection.
He has included themes like Biopsy and Cutaneous melanoma in his Sentinel lymph node study.
His Melanoma research is multidisciplinary, incorporating elements of Young adult, Incidence and Retrospective cohort study.
His research on Internal medicine often connects related areas such as Pathology.
The various areas that Arthur J. Sober examines in his Merkel cell carcinoma study include Cancer, Survival analysis and Hazard ratio.
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