Arshad Channanath

1.0k total citations
42 papers, 571 citations indexed

About

Arshad Channanath is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Arshad Channanath has authored 42 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 12 papers in Molecular Biology and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Arshad Channanath's work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Pancreatic function and diabetes (6 papers). Arshad Channanath is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Pancreatic function and diabetes (6 papers). Arshad Channanath collaborates with scholars based in Kuwait, Saudi Arabia and Jordan. Arshad Channanath's co-authors include Thangavel Alphonse Thanaraj, Bassam Farran, Kazem Behbehani, Fahd Al‐Mulla, Hessa Alkandari, Mohamed Abu‐Farha, Jehad Abubaker, Dalia Al‐Abdulrazzaq, Sumi Elsa John and Prashantha Hebbar and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Arshad Channanath

38 papers receiving 557 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arshad Channanath Kuwait 13 165 161 123 94 85 42 571
Angeliki M. Angelidi United States 13 54 0.3× 167 1.0× 119 1.0× 99 1.1× 36 0.4× 29 708
Rajiv Singla India 18 60 0.4× 330 2.0× 33 0.3× 150 1.6× 32 0.4× 47 920
Yihao Liu China 15 70 0.4× 290 1.8× 216 1.8× 143 1.5× 9 0.1× 50 788
Padmaja Kumari Rani India 24 57 0.3× 288 1.8× 49 0.4× 282 3.0× 50 0.6× 108 2.0k
Nicholas Conway United Kingdom 18 112 0.7× 159 1.0× 74 0.6× 62 0.7× 30 0.4× 57 862
Philip Foulis United States 14 25 0.2× 55 0.3× 38 0.3× 67 0.7× 25 0.3× 45 508
Shiva Borzouei Iran 13 41 0.2× 116 0.7× 16 0.1× 52 0.6× 32 0.4× 55 357
Bogdan Vlacho Spain 12 45 0.3× 285 1.8× 35 0.3× 59 0.6× 12 0.1× 56 444
Clara Viñals Spain 11 147 0.9× 284 1.8× 23 0.2× 13 0.1× 28 0.3× 43 400
Zihui Tang China 14 41 0.2× 58 0.4× 25 0.2× 120 1.3× 16 0.2× 64 579

Countries citing papers authored by Arshad Channanath

Since Specialization
Citations

This map shows the geographic impact of Arshad Channanath's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Arshad Channanath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arshad Channanath more than expected).

Fields of papers citing papers by Arshad Channanath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arshad Channanath. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Arshad Channanath. The network helps show where Arshad Channanath may publish in the future.

Co-authorship network of co-authors of Arshad Channanath

This figure shows the co-authorship network connecting the top 25 collaborators of Arshad Channanath. A scholar is included among the top collaborators of Arshad Channanath based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arshad Channanath. Arshad Channanath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Alkandari, Hessa, et al.. (2025). Genetic insights into MIS-C Post-COVID-19 in Kuwaiti children: investigating monogenic factors. Frontiers in Cellular and Infection Microbiology. 14. 1444216–1444216.
2.
Malik, Md. Zubbair, et al.. (2024). Complex p53 dynamics regulated by miR-125b in cellular responses to reactive oxidative stress and DNA damage. Briefings in Bioinformatics. 26(1).
3.
Hammad, Maha M., Mohamed Abu‐Farha, Prashantha Hebbar, et al.. (2023). The miR-668 binding site variant rs1046322 on WFS1 is associated with obesity in Southeast Asians. Frontiers in Endocrinology. 14. 1185956–1185956. 1 indexed citations
4.
Malik, Md. Zubbair, Arshad Channanath, Sumi Elsa John, et al.. (2023). Disruption in the regulation of casein kinase 2 in circadian rhythm leads to pathological states: cancer, diabetes and neurodegenerative disorders. Frontiers in Molecular Neuroscience. 16. 1217992–1217992. 2 indexed citations
5.
Abu‐Farha, Mohamed, Abdur Rahman, Thangavel Alphonse Thanaraj, et al.. (2023). LRG1 Associates with Iron Deficiency Anemia Markers in Adolescents. Nutrients. 15(14). 3100–3100.
6.
Rahman, Abdur, Mohamed Abu‐Farha, Arshad Channanath, et al.. (2023). Single nucleotide polymorphisms in vitamin D binding protein and 25-hydroxylase genes affect vitamin D levels in adolescents of Arab ethnicity in Kuwait. Frontiers in Endocrinology. 14. 1257051–1257051. 2 indexed citations
7.
Hebbar, Prashantha, Rasheeba Nizam, Sumi Elsa John, et al.. (2023). Linkage analysis using whole exome sequencing data implicates SLC17A1, SLC17A3, TATDN2 and TMEM131L in type 1 diabetes in Kuwaiti families. Scientific Reports. 13(1). 14978–14978. 4 indexed citations
8.
Nizam, Rasheeba, Sumi Elsa John, Motasem Melhem, et al.. (2023). ONECUT1 variants beyond type 1 and type 2 diabetes: exploring clinical diversity and epigenetic associations in Arab cohorts. Frontiers in Genetics. 14. 1254833–1254833. 1 indexed citations
9.
Hasan, Amal, Hossein Arefanian, Arshad Channanath, et al.. (2022). Association of COVID-19 Vaccines ChAdOx1-S and BNT162b2 with Circulating Levels of Coagulation Factors and Antithrombin. Vaccines. 10(8). 1226–1226. 1 indexed citations
10.
Alterki, Abdulmohsen, Mohamed Abu‐Farha, Pien F. N. Bosschieter, et al.. (2022). Increased plasma ANGPTL7 levels with increased obstructive sleep apnea severity. Frontiers in Endocrinology. 13. 922425–922425. 3 indexed citations
11.
Channanath, Arshad, et al.. (2022). Distribution of HLA-B Alleles and Haplotypes in Qatari: Recommendation for Establishing Pharmacogenomic Markers Screening for Drug Hypersensitivity. Frontiers in Pharmacology. 13. 891838–891838. 3 indexed citations
12.
Nizam, Rasheeba, Prashantha Hebbar, Sumi Elsa John, et al.. (2022). Differentially methylated and expressed genes in familial type 1 diabetes. Scientific Reports. 12(1). 11045–11045. 9 indexed citations
13.
Haddad, Dania, Sumi Elsa John, Anwar Mohammad, et al.. (2021). SARS-CoV-2: Possible recombination and emergence of potentially more virulent strains. PLoS ONE. 16(5). e0251368–e0251368. 41 indexed citations
14.
Alterki, Abdulmohsen, Thangavel Alphonse Thanaraj, Irina Al‐Khairi, et al.. (2020). Targeted Metabolomics Analysis on Obstructive Sleep Apnea Patients after Multilevel Sleep Surgery. Metabolites. 10(9). 358–358. 11 indexed citations
15.
Qaddoumi, Mohammad, Maha M. Hammad, Preethi Cherian, et al.. (2020). Investigating the Role of Myeloperoxidase and Angiopoietin-like Protein 6 in Obesity and Diabetes. Scientific Reports. 10(1). 6170–6170. 35 indexed citations
16.
Channanath, Arshad, Naser Elkum, Dalia Al‐Abdulrazzaq, et al.. (2017). Ethnic differences in association of high body mass index with early onset of Type 1 diabetes – Arab ethnicity as case study. PLoS ONE. 12(4). e0175728–e0175728. 4 indexed citations
17.
Shaltout, Azza, Arshad Channanath, Thangavel Alphonse Thanaraj, et al.. (2016). Ketoacidosis at first presentation of type 1 diabetes mellitus among children: a study from Kuwait. Scientific Reports. 6(1). 27519–27519. 49 indexed citations
19.
Channanath, Arshad, Bassam Farran, Kazem Behbehani, & Thangavel Alphonse Thanaraj. (2014). Impact of Hypertension on the Association of BMI with Risk and Age at Onset of Type 2 Diabetes Mellitus: Age- and Gender-Mediated Modifications. PLoS ONE. 9(4). e95308–e95308. 8 indexed citations
20.
Farran, Bassam, Arshad Channanath, Kazem Behbehani, & Thangavel Alphonse Thanaraj. (2013). Predictive models to assess risk of type 2 diabetes, hypertension and comorbidity: machine-learning algorithms and validation using national health data from Kuwait—a cohort study. BMJ Open. 3(5). e002457–e002457. 90 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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