Advances in Medical Sciences

Papers
(The H4-Index of Advances in Medical Sciences is 13. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
Investigation of circulating natural autoantibodies against ANXA1 and MYC as potential biomarkers in hepatocellular carcinoma49
Inhibition of TRPM7 by glutathione decreases oxidant and apoptotic action of cisplatin through the downregulation of Ca2+ and Zn2+ in glioblastoma cells35
ToF-SIMS metabolomic analysis of urinary extracellular vesicles to identify potential markers for diabetic kidney disease in type 1 diabetes32
Potential of the postoperative lymphocyte-to-monocyte and monocyte-to-red blood cell ratio in predicting locoregional and distant metastases after breast cancer resection - Retrospective study29
Effects of intensity-modulated radiotherapy combined with chemotherapy and prognostic factors in patients with locally advanced oesophageal cancer21
Corrigendum to “Genome-engineering technologies for modeling and treatment of cystic fibrosis” [Adv Med Sci (2023 Sept) 68(1) 111–120]18
Immunization with placenta-specific 1 (plac1) induces potent anti-tumor responses and prolongs survival in a mouse model of melanoma18
Periodontal disease in patients with thyroid diseases: A systematic review with meta-analysis17
Reducing metastasis ability of gastric cancer cell line by targeting MMP16 using miR-193a-5p and 5-FU16
Trimethylamine N-oxide as a potential prognostic biomarker for mortality in patients with COVID-19 disease16
Patterned edge-illuminated display for clinical examination of visual evoked potentials using simultaneous magnetic resonance imaging16
LRRC45 promotes lung cancer proliferation and progression by enhancing c-MYC, slug, MMP2, and MMP9 expression15
Monoisotopic silver nanoparticles-based mass spectrometry imaging of human bladder cancer tissue: Biomarker discovery14
Lipidomic approach to identify Escherichia coli and Shigella spp. by matrix-assisted laser desorption/ionization mass spectrometry13
0.37934899330139