Urine microRNAs as potential noninvasive biomarkers in urologic cancers

Article Properties
Refrences
Title Journal Journal Categories Citations Publication Date
MicroRNA 15a, Inversely Correlated to PKCα, Is a Potential Marker to Differentiate between Benign and Malignant Renal Tumors in Biopsy and Urine Samples The American Journal of Pathology
  • Medicine: Medicine (General): Medical technology
  • Medicine: Pathology
  • Medicine: Medicine (General)
  • Medicine: Medicine (General)
82 2012
MiR‐34a chemosensitizes bladder cancer cells to cisplatin treatment regardless of p53‐Rb pathway status

International Journal of Cancer
  • Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens
  • Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens
  • Medicine: Medicine (General)
72 2012
Changes in circulating microRNA levels associated with prostate cancer British Journal of Cancer
  • Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens
  • Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens
  • Medicine: Medicine (General)
499 2012
Identification of MicroRNAs associated with early relapse after nephrectomy in renal cell carcinoma patients

Genes, Chromosomes and Cancer
  • Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens
  • Science: Biology (General): Genetics
  • Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens
  • Medicine: Medicine (General)
84 2012
Cell-free microRNAs in urine as diagnostic and prognostic biomarkers of bladder cancer International Journal of Oncology
  • Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens
  • Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens
  • Medicine: Medicine (General)
96 2012
Citations
Title Journal Journal Categories Citations Publication Date
A review of cancer data fusion methods based on deep learning Information Fusion
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2024
The Effect of Blood Clots on the Quality of RNA Extracted from PAXgene Blood RNA Tubes Biopreservation and Biobanking
  • Medicine: Medicine (General): Medical technology
  • Science: Chemistry
  • Science: Biology (General): Cytology
  • Science: Biology (General): Genetics
1 2024
Liquid biopsies for detection, surveillance, and prognosis of urothelial cancer: a future standard? Expert Review of Anticancer Therapy
  • Medicine: Medicine (General)
  • Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens
1 2023
Canine urothelial carcinoma: a pilot study of microRNA detection in formalin-fixed, paraffin-embedded tissue samples and in normal urine

Journal of Veterinary Diagnostic Investigation
  • Agriculture: Animal culture: Veterinary medicine
  • Agriculture: Animal culture: Veterinary medicine
  • Agriculture: Plant culture
  • Agriculture: Animal culture
2023
Microfluidics for Profiling miRNA Biomarker Panels in AI-Assisted Cancer Diagnosis and Prognosis

Technology in Cancer Research & Treatment
  • Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens
  • Medicine: Medicine (General)
  • Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens
5 2023
Citations Analysis
Category Category Repetition
Medicine: Medicine (General)33
Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens21
Science: Biology (General)13
Science: Chemistry9
Medicine: Medicine (General): Medical technology7
Science: Biology (General): Genetics6
Medicine5
Medicine: Internal medicine: Specialties of internal medicine: Diseases of the genitourinary system. Urology5
Science: Chemistry: Analytical chemistry4
Science: Chemistry: General. Including alchemy4
Science: Chemistry: Organic chemistry: Biochemistry4
Science: Biology (General): Cytology3
Technology: Chemical technology: Biotechnology3
Science: Physics2
Science: Science (General)2
Medicine: Internal medicine: Specialties of internal medicine: Diseases of the blood and blood-forming organs2
Medicine: Public aspects of medicine: Toxicology. Poisons2
Medicine: Pathology2
Technology: Engineering (General). Civil engineering (General)1
Technology: Technology (General): Industrial engineering. Management engineering1
Technology: Chemical technology1
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials1
Science1
Medicine: Internal medicine: Specialties of internal medicine: Immunologic diseases. Allergy1
Medicine: Surgery1
Science: Chemistry: Physical and theoretical chemistry1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware1
Geography. Anthropology. Recreation: Environmental sciences1
Medicine: Internal medicine1
Agriculture: Animal culture: Veterinary medicine1
Agriculture: Plant culture1
Agriculture: Animal culture1
The category Medicine: Medicine (General) 33 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled MiR-223-3p targeting SEPT6 promotes the biological behavior of prostate cancer and was published in 2014. The most recent citation comes from a 2024 study titled A review of cancer data fusion methods based on deep learning. This article reached its peak citation in 2015, with 14 citations. It has been cited in 50 different journals, 30% of which are open access. Among related journals, the International Journal of Molecular Sciences cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year