What is he best known for?
The fields of study he is best known for:
- Cancer
- Internal medicine
- Gene
His scientific interests lie mostly in Cancer research, Immunology, Melanoma, Dentistry and Cancer.
His Cancer research research is multidisciplinary, relying on both Cell, Ovarian cancer, Kinase and Merkel cell carcinoma.
His biological study spans a wide range of topics, including Oncology, Pathology, Internal medicine, Matrix metalloproteinase and Metastasis.
Jürgen C. Becker has researched Internal medicine in several fields, including Gastroenterology and Surgery.
The Dentistry study combines topics in areas such as Peri-implantitis, Implant and Er:YAG laser.
His Antigen study combines topics from a wide range of disciplines, such as Cytotoxic T cell and Survivin.
His most cited work include:
- Antibody targeted drugs as cancer therapeutics (636 citations)
- Germline mutations in BAP1 predispose to melanocytic tumors (499 citations)
- Final Results From a Multicenter, International, Pivotal Study of Romidepsin in Refractory Cutaneous T-Cell Lymphoma (461 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Cancer research, Melanoma, Immunology, Internal medicine and Dentistry.
In his work, Skin cancer is strongly intertwined with Merkel cell carcinoma, which is a subfield of Cancer research.
His research integrates issues of Metastasis and Pathology in his study of Melanoma.
Many of his studies involve connections with topics such as Cytotoxic T cell and Immunology.
The various areas that Jürgen C. Becker examines in his Internal medicine study include Gastroenterology and Oncology.
His work deals with themes such as Titanium and Peri-implantitis, Implant, which intersect with Dentistry.
He most often published in these fields:
- Cancer research (30.84%)
- Melanoma (23.66%)
- Immunology (22.60%)
What were the highlights of his more recent work (between 2018-2021)?
- Cancer research (30.84%)
- Merkel cell carcinoma (14.50%)
- Melanoma (23.66%)
In recent papers he was focusing on the following fields of study:
Jürgen C. Becker mainly investigates Cancer research, Merkel cell carcinoma, Melanoma, Internal medicine and Oncology.
The concepts of his Cancer research study are interwoven with issues in Cell culture, CD8, Antigen, microRNA and Lymphoma.
His research in Antigen intersects with topics in Downregulation and upregulation and T-cell receptor.
His work carried out in the field of Merkel cell carcinoma brings together such families of science as Carcinogenesis, Gene expression and Skin cancer.
His Melanoma study also includes
- JARID1B which connect with Phenocopy,
- Cell that intertwine with fields like Cancer cell.
His study in Oncology is interdisciplinary in nature, drawing from both Immune checkpoint, Immune checkpoint inhibitors, Immunotherapy, Metastatic melanoma and Adverse effect.
Between 2018 and 2021, his most popular works were:
- Superior skin cancer classification by the combination of human and artificial intelligence (48 citations)
- Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks (44 citations)
- Antibiotics inhibit tumor and disease activity in cutaneous T-cell lymphoma. (32 citations)
In his most recent research, the most cited papers focused on:
- Cancer
- Internal medicine
- Gene
Jürgen C. Becker focuses on Cancer research, Internal medicine, Melanoma, Oncology and Merkel cell carcinoma.
His studies in Cancer research integrate themes in fields like Cell culture, T cell, Antigen presentation, Lymphoma and Immunotherapy.
His Immunotherapy study incorporates themes from Blockade and CD8.
Jürgen C. Becker studies Melanoma, focusing on Metastatic melanoma in particular.
In his research, Survival analysis is intimately related to Immune checkpoint, which falls under the overarching field of Oncology.
His work in Merkel cell carcinoma addresses issues such as Antigen, which are connected to fields such as Cell, Gene knockdown, Cell growth and Cancer cell.
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