What is he best known for?
The fields of study he is best known for:
Wenrong Xu mostly deals with Mesenchymal stem cell, Microvesicles, Cancer research, Immunology and Cancer.
His Mesenchymal stem cell research is multidisciplinary, incorporating perspectives in Exosome, Stem cell and Cellular differentiation.
His Microvesicles research integrates issues from Tumor microenvironment, Cell signaling and Metastasis.
His Cancer research study integrates concerns from other disciplines, such as Mutation, Hematology and Leukemia.
His Umbilical cord study, which is part of a larger body of work in Immunology, is frequently linked to Cardiac function curve, bridging the gap between disciplines.
The Cancer cell, Biomarker and Carcinogenesis research Wenrong Xu does as part of his general Cancer study is frequently linked to other disciplines of science, such as Closed loop, therefore creating a link between diverse domains of science.
His most cited work include:
- Exosomes Derived from Human Umbilical Cord Mesenchymal Stem Cells Alleviate Liver Fibrosis (464 citations)
- Exosomes in cancer: small particle, big player (371 citations)
- Exosomes released by human umbilical cord mesenchymal stem cells protect against cisplatin-induced renal oxidative stress and apoptosis in vivo and in vitro (362 citations)
What are the main themes of his work throughout his whole career to date?
Mesenchymal stem cell, Cancer research, Cancer, Cancer cell and Cell biology are his primary areas of study.
His studies in Mesenchymal stem cell integrate themes in fields like Microvesicles, Stem cell and Immunology, Bone marrow.
His Immunology study incorporates themes from Stromal cell and Angiogenesis.
Wenrong Xu has included themes like Exosome, Apoptosis, Gene knockdown, Tumor microenvironment and Cancer stem cell in his Cancer research study.
His Cancer cell study combines topics from a wide range of disciplines, such as Cell and Cell growth.
His work investigates the relationship between Cell biology and topics such as Molecular biology that intersect with problems in Cytotoxic T cell.
He most often published in these fields:
- Mesenchymal stem cell (49.75%)
- Cancer research (47.76%)
- Cancer (28.86%)
What were the highlights of his more recent work (between 2019-2021)?
- Cancer research (47.76%)
- Mesenchymal stem cell (49.75%)
- Cancer (28.86%)
In recent papers he was focusing on the following fields of study:
His main research concerns Cancer research, Mesenchymal stem cell, Cancer, Microvesicles and Metastasis.
Wenrong Xu is involved in the study of Cancer research that focuses on Angiogenesis in particular.
Wenrong Xu combines subjects such as Inflammatory bowel disease, Umbilical cord, Stem cell, Colorectal cancer and Kidney with his study of Mesenchymal stem cell.
His Cancer research includes themes of Circular RNA and Oncology.
Wenrong Xu studies Exosome which is a part of Microvesicles.
His research in Cancer cell intersects with topics in Gene silencing, Bone marrow, 3,3'-Diindolylmethane and Cell biology.
Between 2019 and 2021, his most popular works were:
- CircRNA: a rising star in gastric cancer (42 citations)
- Improved therapeutics of modified mesenchymal stem cells: an update. (21 citations)
- Exosome-transmitted lncRNA UFC1 promotes non-small-cell lung cancer progression by EZH2-mediated epigenetic silencing of PTEN expression. (14 citations)
In his most recent research, the most cited papers focused on:
The scientist’s investigation covers issues in Extracellular vesicles, Mesenchymal stem cell, Microvesicles, Computational biology and Cancer research.
The study incorporates disciplines such as Cell and Cell culture in addition to Extracellular vesicles.
Wenrong Xu interconnects Homing and Transplantation in the investigation of issues within Mesenchymal stem cell.
His Microvesicles research includes elements of Biogenesis, Mirna sponge and Function.
His Computational biology study combines topics in areas such as Cancer therapy, Targeted therapy and Drug delivery.
His Cancer research research is multidisciplinary, incorporating elements of Microarray analysis techniques, Transcriptome, PI3K/AKT/mTOR pathway, Akt/PKB signaling pathway and Primary tumor.
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