Steven Aibor Dkhar

504 total citations
22 papers, 372 citations indexed

About

Steven Aibor Dkhar is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, Steven Aibor Dkhar has authored 22 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Pharmacology. Recurrent topics in Steven Aibor Dkhar's work include Estrogen and related hormone effects (5 papers), Pharmacogenetics and Drug Metabolism (4 papers) and DNA Repair Mechanisms (3 papers). Steven Aibor Dkhar is often cited by papers focused on Estrogen and related hormone effects (5 papers), Pharmacogenetics and Drug Metabolism (4 papers) and DNA Repair Mechanisms (3 papers). Steven Aibor Dkhar collaborates with scholars based in India, United Kingdom and United States. Steven Aibor Dkhar's co-authors include Sandhiya Selvarajan, Melvin George, Gurusamy Umamaheswaran, Adithan Chandrasekaran, Biswajit Dubashi, Ravi Philip Rajkumar, Shivanand Kattimani, Sunil K. Narayan, Chandrasekaran Adithan and Saibal Das and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Breast Cancer Research and Treatment.

In The Last Decade

Steven Aibor Dkhar

22 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven Aibor Dkhar India 11 146 51 47 46 41 22 372
Verena Schneider Germany 11 241 1.7× 44 0.9× 115 2.4× 67 1.5× 34 0.8× 19 635
Csaba Révész Hungary 13 166 1.1× 38 0.7× 33 0.7× 52 1.1× 53 1.3× 29 643
Ramona Nudischer Switzerland 4 119 0.8× 42 0.8× 28 0.6× 27 0.6× 21 0.5× 6 345
Laleh Rafiee Iran 16 358 2.5× 70 1.4× 88 1.9× 27 0.6× 46 1.1× 46 739
Ali Mota Iran 14 164 1.1× 47 0.9× 35 0.7× 68 1.5× 17 0.4× 35 482
Ayed Allawzi United States 15 192 1.3× 58 1.1× 44 0.9× 28 0.6× 25 0.6× 19 547
Caixia Lin China 12 171 1.2× 51 1.0× 60 1.3× 38 0.8× 13 0.3× 17 473
Yuxi Zhang China 8 160 1.1× 51 1.0× 41 0.9× 21 0.5× 50 1.2× 33 368

Countries citing papers authored by Steven Aibor Dkhar

Since Specialization
Citations

This map shows the geographic impact of Steven Aibor Dkhar'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 Steven Aibor Dkhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Aibor Dkhar more than expected).

Fields of papers citing papers by Steven Aibor Dkhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven Aibor Dkhar. 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 Steven Aibor Dkhar. The network helps show where Steven Aibor Dkhar may publish in the future.

Co-authorship network of co-authors of Steven Aibor Dkhar

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Aibor Dkhar. A scholar is included among the top collaborators of Steven Aibor Dkhar 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 Steven Aibor Dkhar. Steven Aibor Dkhar 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.
Umamaheswaran, Gurusamy, Kadambari Dharanipragada, Naveena A. N. Kumar, et al.. (2021). Polymorphisms of T- cell leukemia 1A gene loci are not related to the development of adjuvant letrozole-induced adverse events in breast cancer. PLoS ONE. 16(3). e0247989–e0247989. 5 indexed citations
2.
Umamaheswaran, Gurusamy, Kadambari Dharanipragada, Suresh Chandra Pradhan, et al.. (2020). Association of CYP19A1 gene variations with adjuvant letrozole-induced adverse events in South Indian postmenopausal breast cancer cohort expressing hormone-receptor positivity. Breast Cancer Research and Treatment. 182(1). 147–158. 11 indexed citations
3.
Das, Saibal, et al.. (2017). Agreement Among Different Scales for Causality Assessment in Drug-Induced Liver Injury. Clinical Drug Investigation. 38(3). 211–218. 15 indexed citations
4.
Adithan, C, et al.. (2017). Frequencies of Genetic Polymorphisms of the Cholesterol and Statin Metabolic Pathway Genes among Healthy South Indian Tamil Population. Journal of Young Pharmacists. 9(2). 284–289. 1 indexed citations
5.
Dkhar, Steven Aibor, et al.. (2017). Effect of metformin on exercise capacity in metabolic syndrome. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 11. S403–S406. 10 indexed citations
6.
Kodidela, Sunitha, et al.. (2017). A Polymorphism Located Near PMAIP1/Noxa Gene Influences Susceptibility to Hodgkin Lymphoma Development in South India. PubMed. 18(9). 2477–2483. 2 indexed citations
7.
Selvarajan, Sandhiya, et al.. (2016). Orexin receptors: a journey through their discovery to the development of suvorexant, the new sleeping pill. International Journal of Basic & Clinical Pharmacology. 573–578. 2 indexed citations
8.
Umamaheswaran, Gurusamy, et al.. (2014). Frequency distribution of DNA repair genes ERCC1 and ERCC2 polymorphisms in South Indian healthy population. Environmental Toxicology and Pharmacology. 38(2). 480–488. 5 indexed citations
9.
Umamaheswaran, Gurusamy, et al.. (2014). Polymorphic genetic variations of Cytochrome P450 19A1 and T-cell leukemia 1A genes in the Tamil population. Environmental Toxicology and Pharmacology. 39(1). 102–113. 2 indexed citations
10.
Umamaheswaran, Gurusamy, et al.. (2014). Allele and Genotype Distributions of DNA Repair Gene Polymorphisms in South Indian Healthy Population. SHILAP Revista de lepidopterología. 6. BIC.S19681–BIC.S19681. 6 indexed citations
11.
12.
Shewade, Deepak Gopal, Gurusamy Umamaheswaran, Steven Aibor Dkhar, et al.. (2014). Single nucleotide polymorphism of CYP3A5*3 contributes to clopidogrel resistance in coronary artery disease patients among Tamilian population. Molecular Biology Reports. 41(11). 7265–7271. 14 indexed citations
13.
Umamaheswaran, Gurusamy, et al.. (2013). Haplotype structures and functional polymorphic variants of the drug target enzyme aromatase (CYP19A1) in South Indian population. Medical Oncology. 30(3). 665–665. 8 indexed citations
14.
George, Melvin, et al.. (2013). Newer antipsychotics and upcoming molecules for schizophrenia. European Journal of Clinical Pharmacology. 69(8). 1497–1509. 21 indexed citations
15.
George, Melvin, et al.. (2013). Globalization of Clinical Trials – Where are We Heading?. Current Clinical Pharmacology. 8(2). 115–123. 17 indexed citations
16.
Selvarajan, Sandhiya, et al.. (2013). The dawn of hedgehog inhibitors: Vismodegib. Journal of Pharmacology and Pharmacotherapeutics. 4(1). 4–7. 65 indexed citations
17.
Umamaheswaran, Gurusamy, et al.. (2012). Inter and intra-ethnic differences in the distribution of the molecular variants of TPMT, UGT1A1 and MDR1 genes in the South Indian population. Molecular Biology Reports. 39(5). 6343–6351. 17 indexed citations
18.
Selvarajan, Sandhiya, et al.. (2009). Emerging trends of nanomedicine – an overview. Fundamental and Clinical Pharmacology. 23(3). 263–269. 121 indexed citations
19.
Selvarajan, Sandhiya, et al.. (2008). Role of ion channel modifiers in reversal of morphine-induced gastrointestinal inertia by prokinetic agents in mice.. PubMed. 46(1). 60–5. 3 indexed citations
20.
Dkhar, Steven Aibor, et al.. (2006). Effect of insulin on small intestinal transit in normal mice is independent of blood glucose level. BMC Pharmacology. 6(1). 4–4. 8 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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