Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

The association between eating behavior and polymorphisms in GRIN2B, GRIK3, GRIA1 and GRIN1 genes in people with type 2 diabetes mellitus
О. В. Кочетова, Д. Ш. Авзалетдинова, G. F. Korytina, et al.
Molecular Biology Reports (2020) Vol. 47, Iss. 3, pp. 2035-2046
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Deciphering the genetic landscape of obesity: a data-driven approach to identifying plausible causal genes and therapeutic targets
Mia Yang Ang, Fumihiko Takeuchi, Norihiro Kato
Journal of Human Genetics (2023) Vol. 68, Iss. 12, pp. 823-833
Open Access | Times Cited: 11
The expression of insulin signaling and N-methyl-D-aspartate receptor genes in areas of gray matter atrophy is associated with cognitive function in type 2 diabetes.
Shelli R. Kesler, Heather Cuevas, Kimberly Lewis, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Integrating Common Risk Factors with Polygenic Scores Improves the Prediction of Type 2 Diabetes
Yanina Timasheva, Zhanna Balkhiyarova, Д. Ш. Авзалетдинова, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 2, pp. 984-984
Open Access | Times Cited: 9
COVID-19: Mechanisms, risk factors, genetics, non-coding RNAs and neurologic impairments
I. R. Gilyazova, Yanina Timasheva, А. С. Карунас, et al.
Non-coding RNA Research (2023) Vol. 8, Iss. 2, pp. 240-254
Open Access | Times Cited: 8
Identification of hub genes related to the progression of type 1 diabetes by computational analysis
G. Prashanth, Basavaraj Vastrad, Anandkumar Tengli, et al.
BMC Endocrine Disorders (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 20
Study on Potential Differentially Expressed Genes in Idiopathic Pulmonary Fibrosis by Bioinformatics and Next-Generation Sequencing Data Analysis
Muttanagouda Giriyappagoudar, Basavaraj Vastrad, Rajeshwari Horakeri, et al.
Biomedicines (2023) Vol. 11, Iss. 12, pp. 3109-3109
Open Access | Times Cited: 7
DDCM: A Computational Strategy for Drug Repositioning Based on Support-Vector Regression Algorithm
Manyi Xu, Li Wan, Jiaheng He, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 10, pp. 5267-5267
Open Access | Times Cited: 2
Identification of key DNA methylation changes on fasting plasma glucose: a genome-wide DNA methylation analysis in Chinese monozygotic twins
Weijing Wang, Wenqin Yao, Qihua Tan, et al.
Diabetology & Metabolic Syndrome (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Mendelian Randomization Analysis Identifies Inverse Causal Relationship between External Eating and Metabolic Phenotypes
Yanina Timasheva, Zhanna Balkhiyarova, Д. Ш. Авзалетдинова, et al.
Nutrients (2024) Vol. 16, Iss. 8, pp. 1166-1166
Open Access | Times Cited: 1
Micro ribonucleic acid‐363 regulates the phosphatidylinositol 3‐kinase/threonine protein kinase axis by targeting NOTCH1 and forkhead box C2, leading to hepatic glucose and lipids metabolism disorder in type 2 diabetes mellitus
Yu‐Huan Peng, Ping Wang, Xiao‐Qun He, et al.
Journal of Diabetes Investigation (2021) Vol. 13, Iss. 2, pp. 236-248
Open Access | Times Cited: 10
Study on potential differentially expressed genes in idiopathic pulmonary fibrosis by bioinformatics and next generation sequencing data analysis
Basavaraj Vastrad, Chanabasayya Vastrad
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Screening of the Key Genes and Signaling Pathways for Schizophrenia Using Bioinformatics and Next Generation Sequencing Data Analysis
Basavaraj Vastrad, Chanabasayya Vastrad
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Identification of novel prognostic targets in acute kidney injury using bioinformatics and next generation sequencing data analysis
Basavaraj Vastrad, Chanabasayya Vastrad
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
The role of the AKT1 gene in the pathogenesis of type 2 diabetes mellitus and its complications
О. В. Кочетова, З. А. Шангареева, Д. Ш. Авзалетдинова, et al.
Molekulyarnaya Meditsina (Molecular medicine) (2024) Vol. 22, Iss. 3, pp. 57-64
Closed Access
Polygenic Score Approach to Predicting Risk of Metabolic Syndrome
Yanina Timasheva, О. В. Кочетова, Zhanna Balkhiyarova, et al.
Genes (2024) Vol. 16, Iss. 1, pp. 22-22
Open Access
Screening of the key genes and signaling pathways for schizophrenia using bioinformatics and next generation sequencing data analysis
Iranna Kotturshetti, Basavaraj Vastrad, Veena Kori, et al.
Italian Journal of Medicine (2024) Vol. 18, Iss. 4
Open Access
GRIN2A and GRIN2B and Their Related Phenotypes
Annamaria Sapuppo, Laura Portale, Carmela Rita Massimino, et al.
Journal of Pediatric Neurology (2021) Vol. 21, Iss. 03, pp. 212-223
Closed Access | Times Cited: 2
In silico evaluation of single-nucleotide polymorphisms in CHRNA7 and GRIN1 genes related to Alzheimer's disease
ÖmerFaruk Karasakal, Arash Rezaeirad, EbruÖzkan Oktay, et al.
The Journal of Neurobehavioral Sciences (2023) Vol. 10, Iss. 1, pp. 22-22
Closed Access
Sex differences in type 2 diabetes genetic susceptibility
Д. Ш. Авзалетдинова, Т. В. Моругова, О. В. Кочетова
FOCUS Endocrinology (2023) Vol. 4, Iss. 3, pp. 29-35
Open Access
Bioinformatics analysis of RNA-seq data revealed critical genes in type 1 diabetes and molecular docking studies
G. Prashanth, Basavaraj Vastrad, Anandkumar Tengli, et al.
Research Square (Research Square) (2020)
Open Access
Comprehensive analysis of next-generation sequencing data in COVID-19 and its secondary complications
Muttanagouda Giriyappagoudar, Basavaraj Vastrad, Rajeshwari Horakeri, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
The Role of the Genes of Immune Response in the Development of Type 2 Diabetes
О. В. Кочетова, Д. Ш. Авзалетдинова, G. F. Korytina, et al.
Medicina (2022) Vol. 10, Iss. 4, pp. 1-9
Open Access
Association of Polymorphisms in Neurotransmitter Genes and the TMEM18 Gene with Eating Behavior in Obese Patients
О. В. Кочетова, Д. Ш. Авзалетдинова, З. А. Шангареева, et al.
Russian Journal of Genetics (2021) Vol. 57, Iss. 5, pp. 598-606
Closed Access
CONVULSÕES FEBRIS: PERSPECTIVAS HISTÓRICA E FUTURA À LUZ DA GENÉTICA
Marcos Manoel Honorato, Adriele Feitosa Ribeiro, Susan Karolayne Silva Pimentel, et al.
(2021), pp. 95-105
Open Access
COMO MENDEL SE INTERESSOU PELA HERANÇA DAS CARACTERÍSTICAS?
Luiz Augusto Salles das Neves, Raquel Stefanello, Renata Smith Avinio, et al.
(2021), pp. 27-34
Open Access
Page 1 - Next Page

Scroll to top