Ajay Jajodia

441 total citations
16 papers, 282 citations indexed

About

Ajay Jajodia is a scholar working on Genetics, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Ajay Jajodia has authored 16 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 7 papers in Molecular Biology and 6 papers in Psychiatry and Mental health. Recurrent topics in Ajay Jajodia's work include Genetic Associations and Epidemiology (6 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Schizophrenia research and treatment (4 papers). Ajay Jajodia is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Schizophrenia research and treatment (4 papers). Ajay Jajodia collaborates with scholars based in India, Germany and United States. Ajay Jajodia's co-authors include R. David Hawkins, Naresh Doni Jayavelu, Arpit Mishra, Ritushree Kukreti, Harpreet Kaur, Ruchi Baghel, Sanjeev Jain, Khuraijam Dhanachandra Singh, Karthikeyan Muthusamy and Meenal Gupta and has published in prestigious journals such as Nature Communications, PLoS ONE and RSC Advances.

In The Last Decade

Ajay Jajodia

16 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ajay Jajodia India	10	149	81	40	35	30	16	282
А. В. Бочарова Russia	10	80 0.5×	103 1.3×	26 0.7×	45 1.3×	26 0.9×	52	280
Alexandra M Huffman United States	10	81 0.5×	40 0.5×	30 0.8×	25 0.7×	15 0.5×	23	275
Qinghe Xing China	9	151 1.0×	71 0.9×	102 2.5×	17 0.5×	6 0.2×	17	343
Hyo‐Jeong Ban South Korea	8	131 0.9×	72 0.9×	19 0.5×	20 0.6×	18 0.6×	22	299
Xuhan Yang China	13	157 1.1×	35 0.4×	51 1.3×	15 0.4×	4 0.1×	21	344
Simon D. Rees United Kingdom	9	149 1.0×	196 2.4×	23 0.6×	87 2.5×	31 1.0×	11	456
Peter J. Dosen Australia	9	191 1.3×	51 0.6×	21 0.5×	10 0.3×	35 1.2×	12	348
Gerald P. Connolly United Kingdom	8	180 1.2×	30 0.4×	16 0.4×	9 0.3×	10 0.3×	10	327
Katarzyna A. Ellsworth United States	8	106 0.7×	124 1.5×	14 0.3×	23 0.7×	4 0.1×	15	281

Countries citing papers authored by Ajay Jajodia

Since Specialization

Citations

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

Fields of papers citing papers by Ajay Jajodia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ajay Jajodia. 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 Ajay Jajodia. The network helps show where Ajay Jajodia may publish in the future.

Co-authorship network of co-authors of Ajay Jajodia

This figure shows the co-authorship network connecting the top 25 collaborators of Ajay Jajodia. A scholar is included among the top collaborators of Ajay Jajodia 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 Ajay Jajodia. Ajay Jajodia 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

Jayavelu, Naresh Doni, Ajay Jajodia, Arpit Mishra, & R. David Hawkins. (2020). Candidate silencer elements for the human and mouse genomes. Nature Communications. 11(1). 1061–1061. 111 indexed citations

Singh, Khuraijam Dhanachandra, Neha Kanojia, Chitra Rawat, et al.. (2017). Exploring the Carbamazepine Interaction with Human Pregnane X Receptor and Effect on ABCC2 Using in Vitro and in Silico Approach. Pharmaceutical Research. 34(7). 1444–1458. 12 indexed citations

Baghel, Ruchi, Sandeep Grover, Harpreet Kaur, et al.. (2016). Evaluating the Role of Genetic Variants on first‐line antiepileptic drug response in North India: Significance ofSCN1AandGABRA1Gene Variants in Phenytoin Monotherapy and its Serum Drug Levels. CNS Neuroscience & Therapeutics. 22(9). 740–757. 9 indexed citations

Baghel, Ruchi, Sandeep Grover, Harpreet Kaur, et al.. (2016). Synergistic association of STX1A and VAMP2 with cryptogenic epilepsy in North Indian population. Brain and Behavior. 6(7). e00490–e00490. 6 indexed citations

Jajodia, Ajay, Harpreet Kaur, Meenal Gupta, et al.. (2015). Evidence for schizophrenia susceptibility alleles in the Indian population: An association of neurodevelopmental genes in case–control and familial samples. Schizophrenia Research. 162(1-3). 112–117. 21 indexed citations

Jajodia, Ajay, Harpreet Kaur, Neha Kanojia, et al.. (2015). Evaluation of genetic association of neurodevelopment and neuroimmunological genes with antipsychotic treatment response in schizophrenia in Indian populations. Molecular Genetics & Genomic Medicine. 4(1). 18–27. 13 indexed citations

Singh, Khuraijam Dhanachandra, Ajay Jajodia, Harpreet Kaur, Ritushree Kukreti, & Karthikeyan Muthusamy. (2015). Renin Angiotensin System Gene Polymorphisms in Response to Antihypertensive Drugs and Visit-To-Visit Blood Pressure Variability in Essential Hypertensive Patients. Current pharmacogenomics and personalized medicine (Online). 12(4). 227–235. 3 indexed citations

Jajodia, Ajay, Khuraijam Dhanachandra Singh, Anshika Singhal, et al.. (2015). Methylation of a HTR3A promoter variant alters the binding of transcription factor CTCF. RSC Advances. 5(57). 45710–45717. 6 indexed citations

Baghel, Ruchi, Ajay Jajodia, Sandeep Grover, & Ritushree Kukreti. (2014). Research Highlights: Highlights from the Latest Articles Focusing on a New Gene Set for Better Drug Response Prediction of Epilepsy Patients. Pharmacogenomics. 15(5). 581–586. 3 indexed citations

10.

Kaur, Harpreet, Ajay Jajodia, Sandeep Grover, et al.. (2014). Genetic Variations of PIP4K2A Confer Vulnerability to Poor Antipsychotic Response in Severely Ill Schizophrenia Patients. PLoS ONE. 9(7). e102556–e102556. 12 indexed citations

11.

Jajodia, Ajay, Harpreet Kaur, Ruchi Baghel, et al.. (2014). Glutamate transporter genes are associated with schizophrenia in South Indian population. Molecular Cytogenetics. 7(Suppl 1). P42–P42. 2 indexed citations

12.

Singh, Khuraijam Dhanachandra, Ajay Jajodia, Harpreet Kaur, Ritushree Kukreti, & Karthikeyan Muthusamy. (2014). Gender Specific Association of RAS Gene Polymorphism with Essential Hypertension: A Case-Control Study. BioMed Research International. 2014. 1–10. 40 indexed citations

13.

Kaur, Harpreet, Ajay Jajodia, Sandeep Grover, et al.. (2014). Synergistic association ofPI4KAandGRM3genetic polymorphisms with poor antipsychotic response in south Indian schizophrenia patients with low severity of illness. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 165(8). 635–646. 14 indexed citations

14.

Kaur, Harpreet, Ajay Jajodia, Sandeep Grover, et al.. (2014). Pharmacogenomics of Neuropsychiatric Disorders: Analysis of Genetic Variability in 162 Identified Neuroreceptors using 1000 Genomes Project Data. Pharmacogenomics. 15(12). 1575–1587. 4 indexed citations

15.

Gupta, Meenal, Nagaraj S. Moily, Harpreet Kaur, et al.. (2013). Identifying a predictive model for response to atypical antipsychotic monotherapy treatment in south Indian schizophrenia patients. Genomics. 102(2). 131–135. 9 indexed citations

16.

Gupta, Meena, Harpreet Kaur, Ajay Jajodia, et al.. (2011). Diverse Facets of COMT: From a Plausible Predictive Marker to a Potential Drug Target for Schizophrenia. Current Molecular Medicine. 11(9). 732–743. 17 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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