Mohit Kumar Divakar

1.4k total citations
16 papers, 66 citations indexed

About

Mohit Kumar Divakar is a scholar working on Genetics, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Mohit Kumar Divakar has authored 16 papers receiving a total of 66 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 4 papers in Molecular Biology and 3 papers in Infectious Diseases. Recurrent topics in Mohit Kumar Divakar's work include Genomics and Rare Diseases (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Mohit Kumar Divakar is often cited by papers focused on Genomics and Rare Diseases (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Mohit Kumar Divakar collaborates with scholars based in India, Germany and United States. Mohit Kumar Divakar's co-authors include Mohamed Imran, Sridhar Sivasubbu, Rahul C. Bhoyar, Vinod Scaria, Abhinav Jain, Bani Jolly, Vigneshwar Senthivel, Disha Sharma, KM Venkat Narayan and Praveen Aggarwal and has published in prestigious journals such as PLoS ONE, Frontiers in Pharmacology and Journal of Medical Virology.

In The Last Decade

Mohit Kumar Divakar

15 papers receiving 65 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohit Kumar Divakar India	4	31	15	10	9	8	16	66
Naïma El Hafidi Morocco	5	35 1.1×	18 1.2×	10 1.0×	2 0.2×		20	83
Shaun Dabe United States	3	22 0.7×	10 0.7×	10 1.0×		3 0.4×	5	42
Kim A. Tran Canada	5	13 0.4×	26 1.7×	8 0.8×	1 0.1×	10 1.3×	8	107
Kaitlin A. Stromberg United States	3	19 0.6×	6 0.4×	4 0.4×	2 0.2×		5	29
Robert Escher Switzerland	5	17 0.5×	10 0.7×	3 0.3×	5 0.6×		5	48
Amna Faheem Pakistan	3	13 0.4×	12 0.8×	4 0.4×	4 0.4×		5	32
Theodoros Marantos Greece	4	24 0.8×	14 0.9×	2 0.2×	1 0.1×	6 0.8×	6	52
Manonanthini Thangam India	4	7 0.2×	34 2.3×	16 1.6×	16 1.8×		6	58
Esteban A. Lopera-Maya Colombia	2	21 0.7×	8 0.5×	9 0.9×		1 0.1×	3	56
Ka-Li Zhu China	5	69 2.2×	25 1.7×	2 0.2×		10 1.3×	8	83

Countries citing papers authored by Mohit Kumar Divakar

Since Specialization

Citations

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

Fields of papers citing papers by Mohit Kumar Divakar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohit Kumar Divakar. 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 Mohit Kumar Divakar. The network helps show where Mohit Kumar Divakar may publish in the future.

Co-authorship network of co-authors of Mohit Kumar Divakar

This figure shows the co-authorship network connecting the top 25 collaborators of Mohit Kumar Divakar. A scholar is included among the top collaborators of Mohit Kumar Divakar 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 Mohit Kumar Divakar. Mohit Kumar Divakar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Bhoyar, Rahul C., Mohamed Imran, Vigneshwar Senthivel, et al.. (2025). Understanding the genetic epidemiology of hereditary breast cancer in India using whole genome data from 1029 healthy individuals. Cancer Causes & Control. 36(7). 673–682. 1 indexed citations

Imran, Mohamed, Arvinden VR, Bhaskar Jyoti Saikia, et al.. (2024). Understanding the variant landscape, and genetic epidemiology of Multiple Endocrine Neoplasia in India. Endocrine. 86(3). 1178–1187.

Senthivel, Vigneshwar, Bani Jolly, Arvinden VR, et al.. (2024). Whole genome sequencing of families diagnosed with cardiac channelopathies reveals structural variants missed by whole exome sequencing. Journal of Human Genetics. 69(9). 455–465. 1 indexed citations

Sivadas, Ambily, Bani Jolly, Rahul C. Bhoyar, et al.. (2024). Landscape of pharmacogenetic variants associated with non-insulin antidiabetic drugs in the Indian population. BMJ Open Diabetes Research & Care. 12(2). e003769–e003769. 12 indexed citations

Sivadas, Ambily, Surabhi Rathore, Bani Jolly, et al.. (2024). The genomic landscape of CYP2D6 variation in the Indian population. Pharmacogenomics. 25(3). 147–160. 2 indexed citations

Imran, Mohamed, Rahul C. Bhoyar, Abhinav Jain, et al.. (2023). Genetic epidemiology of monogenic dyslipidemia and statin-associated adverse drug phenotypes in Indian population from whole-genomes of 1029 self-declared healthy individuals. Human Gene. 39. 201252–201252. 2 indexed citations

Divakar, Mohit Kumar, Abhinav Jain, Rahul C. Bhoyar, et al.. (2023). Whole-genome sequencing of 1029 Indian individuals reveals unique and rare structural variants. Journal of Human Genetics. 68(6). 409–417. 2 indexed citations

Rophina, Mercy, Rahul C. Bhoyar, Mohamed Imran, et al.. (2022). Genetic landscape of human neutrophil antigen variants in India from population‐scale genomes. HLA. 101(3). 262–269. 1 indexed citations

Senthivel, Vigneshwar, Rahul C. Bhoyar, Abhinav Jain, et al.. (2022). 1029 genomes of self-declared healthy individuals from India reveal prevalent and clinically relevant cardiac ion channelopathy variants. Human Genomics. 16(1). 30–30. 3 indexed citations

10.

Jha, Pankaj, Disha Sharma, Rahul C. Bhoyar, et al.. (2022). Landscape of Variability in Chemosensory Genes Associated With Dietary Preferences in Indian Population: Analysis of 1029 Indian Genomes. Frontiers in Genetics. 13. 878134–878134. 1 indexed citations

11.

Mishra, Neha, Disha Sharma, Rintu Kutum, et al.. (2022). Comprehensive Assessment of Indian Variations in the Druggable Kinome Landscape Highlights Distinct Insights at the Sequence, Structure and Pharmacogenomic Stratum. Frontiers in Pharmacology. 13. 858345–858345. 1 indexed citations

12.

Singhal, Khushboo, Disha Sharma, Abhinav Jain, et al.. (2022). An Alu insertion map of the Indian population: identification and analysis in 1021 genomes of the IndiGen project. NAR Genomics and Bioinformatics. 4(1). lqac009–lqac009. 3 indexed citations

13.

Jain, Abhinav, Rahul C. Bhoyar, Ramya Uppuluri, et al.. (2021). Whole genome sequencing identifies novel structural variant in a large Indian family affected with X-linked agammaglobulinemia. PLoS ONE. 16(7). e0254407–e0254407. 3 indexed citations

14.

Bhoyar, Rahul C., Vigneshwar Senthivel, Bani Jolly, et al.. (2021). An optimized, amplicon-based approach for sequencing of SARS-CoV-2 from patient samples using COVIDSeq assay on Illumina MiSeq sequencing platforms. STAR Protocols. 2(3). 100755–100755. 9 indexed citations

15.

Singh, Urvashi B., Mercy Rophina, Rama Chaudhry, et al.. (2021). Variants of concern responsible for SARS‐CoV‐2 vaccine breakthrough infections from India. Journal of Medical Virology. 94(4). 1696–1700. 17 indexed citations

16.

Yadav, Satya Prakash, Rahul C. Bhoyar, Abhinav Jain, et al.. (2020). Asymptomatic reactivation of SARS-CoV-2 in a child with neuroblastoma characterised by whole genome sequencing. IDCases. 23. e01018–e01018. 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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